Machine operator Jobs

<p><h4>Essential responsibilities:</h4> <p>The designee is responsible for the overall daily safe and expeditious flow of air traffic within the designated facility control airspace in accordance with ICAO and FAA 7110.65 regulatory guidance. Rules of separation must be applied to achieve the required separation as outlined in FAA manuals and orders. This designee maintains situational awareness of the overall flow of air traffic operations at the facility assigned and is responsible for all ATC facility operations and services during their shift, as well as adherence to CRM principal application.</p> <p>The designee coordinates with various controllers and personnel to relay information which pertains to the aircraft and in the interest of safety of flight including emergency information. The individual is responsible for vehicles and personnel operating on the airfield. Along with controlling aircraft, the designee must be able to process flight plans, and supervise approach, departure, and arrival procedures. The designee will have a full working knowledge of control tower operations and flight planning and a fundamental knowledge of radar/manual approach control operations.</p> <h4>Minimum position knowledge, skills, and abilities required:</h4> <ul> <li>Graduate of an approved DoD or FAA ATC course.</li> <li>Eight (8) years of experience; one (1) year of experience must be from performing in a like type facility.</li> <li>Knowledge of ATC rules, regulations, and techniques; control tower and approach control operations.</li> <li>Shall hold one of the following tower certifications: FAA Control Tower Operator (CTO) certificate, FAA or AOV Credential with Tower rating, or equivalent.</li> <li>Ability to obtain and maintain FAA Class II Medical Certificate.</li> <li>Ability to obtain and maintain a US CENTCOM Medical Exam.</li> <li>Must be able to obtain and maintain a Secret Security Clearance. Note: US citizenship is required to obtain a Secret Clearance.</li> </ul> <h4>Compensation details:</h4> <p>110,000</p> <p>The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.</p> <h4>Benefits overview:</h4> <p>Our health and welfare benefits are designed to support you and your priorities. Offerings include:</p> <ul> <li>Health, dental, and vision insurance</li> <li>Paid time off and holidays</li> <li>Retirement benefits (including 401(k) matching)</li> <li>Educational reimbursement</li> <li>Parental leave</li> <li>Employee stock purchase plan</li> <li>Tax-saving options</li> <li>Disability and life insurance</li> <li>Pet insurance</li> </ul> <p>Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions or benefits.</p> <h4>Original posting:</h4> <p>06/11/2026 - Until filled</p> <p>The company anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.</p> <p>The company is proud to be an equal opportunity employer. Hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.</p></p><p></p>

<p>Our Mission is to Simplify Life. We simplify and automate complex decision-making for customer-centric industries, including Utilities, Financial Services, Logistics, and Government, that drive the world's economies. We are looking for a technically dominant, operationally rigorous Director of Emerging Technology to lead our EmTech engineering team in Jordan. You will own the full engineering mandate of our Emerging Technology practice, setting the standard for how we architect, build, and deliver solutions across low-code enterprise platforms, microservices, and modern cloud-native stacks. You will lead highly skilled engineers building on complex, production-grade systems. Your technical depth matches theirs: you can engage in deep architectural debates, evaluate trade-offs with precision, and make decisions that hold up under production pressure. Your credibility is built on expertise, not title. Technical mastery is only half the mandate. You are the anchor of the EmTech team , absorbing external complexity and translating it into calm, structured direction. You build a culture of accountability, equitable performance, and consistent delivery excellence, where merit is the only currency. You operate on the same clear sequence: What , then How , then Who . Core Mindset &amp; Traits Technically Credible. You can architect on a whiteboard, debug in a terminal, and evaluate an estimate with the fluency of someone who has shipped for years. Credibility is the foundation of your authority. Mission-Oriented. Driven by outcomes and measurable impact. Pressure Absorber. When urgency hits, your team feels a clear plan and steady direction. Empathetic and Consistent. You invest deeply in your people, and you hold a consistent bar for everyone. Standards apply equally, and fairness is the foundation of trust. Data-Informed. Dashboards, defect rates, and deployment logs: the numbers speak. Operator, Not a Theorist. u200b Forged in live delivery: systems scaled, teams built, deadlines met. Key Responsibilities: Technical Leadership &amp; Engineering Excellence Hands-on technical oversight across the EmTech portfolio: Mendix (or equivalent), microservices, APIs, cloud-native stacks. Personally engage in architecture reviews, estimates, and technical decisions; ensure honest, rigorous commitments. Drive code quality standards, technical debt management, and design review practices. Lead evaluation and adoption of emerging tech (AI/ML, intelligent automation), separating hype from production-ready capability. Establish engineering KPIs: velocity, defect density, deployment frequency, MTTR. EmTech Team Leadership &amp; Culture Serve as the senior engineering leader for the team, with clarity and full executive backing. Act as the strategic buffer between external pressure and your engineers. Enforce transparent, consistent engineering practices from sprint ceremonies to quarterly reviews. Establish a structured communication cadence with global leadership. Delivery Execution &amp; Performance Management Own delivery accountability across all EmTech programs, on time, on budget, on spec. Implement rigorous delivery governance: sprint discipline, milestone tracking, dependency and risk management. Run data-driven delivery reviews against objective metrics. Address performance gaps with speed and fairness. Performance-First, Equitable Culture Promotions, bonuses, and assignments earned through measurable contribution, never tenure, relationships, or lobbying. Anchor evaluations to objective, documented criteria visible before the review period. Build career development frameworks with clear competency milestones. Ensure diverse technical talent thrives through a system that rewards capability and eliminates favoritism. Engineering Talent Development Mentor and develop engineering leads and senior engineers into the next generation of technical leaders. Ensure every engineer has clarity on scope, priorities, and growth trajectory. Design rapid onboarding; build a learning culture that makes EmTech a destination for top regional talent.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Education</strong> Bachelor's in CS, Software Engineering, or Information Systems (required); Master's (strongly preferred).</li><li><strong>Technical Expertise</strong> Deep, hands-on experience with low-code enterprise platforms, specifically Mendix or an equivalent platform (OutSystems, Power Platform at enterprise scale). Proven expertise in microservices, API design, event-driven and distributed systems. Modern stacks: cloud-native (AWS/Azure/GCP), Docker, Kubernetes, CI/CD, DevOps. Software quality engineering and emerging-tech evaluation discipline.</li><li><strong>Leadership &amp; Experience</strong> 15+ years in tech, with 5+ years leading engineering teams of 20+. Proven track record building/scaling high-performing engineering teams and performance systems. Senior technical leader for a practice/team/CoE; client-facing delivery; developing engineering leads.</li><li><strong>Knowledge, Skills &amp; Abilities</strong> Agile/SAFe/DAD; change leadership; Jira/Azure DevOps/Confluence. English &amp; Arabic (required)</li><li><strong>Certifications &amp; Preferences</strong> Mendix certification (Intermediate/Advanced) (strongly preferred) PMP/PMI-ACP (preferred) MENA market experience.</li></ul>

<p><h4>Job description</h4> <p>Employee will be part of the deployment pool and will be required to support deployments to various CONUS/OCONUS locations as required. This position will require the member to be flexible in the support of assigned deployment/work schedules.</p> <p>Supports an aircraft ground equipment (AGE) shop in a medium to large-sized military aircraft flying organization. Ensures the timely and proper performance of scheduled and unscheduled maintenance on AGE equipment and light support vehicles. Inspects, tests, and operates AGE to determine equipment serviceability and proper operation. Diagnoses mechanical and electrical circuitry malfunctions. Interprets drawings, wiring diagrams, schematics, and technical data to facilitate repairs and/or modifications to ground support equipment.</p> <p>Identifies appropriate replacement parts in TOs and technical documents and orders those parts. Removes, disassembles, repairs, cleans, treats for corrosion, assembles, and re-installs AGE accessories and components. Stencils and marks AGE as appropriate. Services equipment with fuel, oil, coolant, water, hydraulic fluid, and air as required. Operates, cleans, inspects, and services AGE tow vehicles. Maintains and documents AGE equipment and tow vehicle forms. Positions equipment to support aircraft maintenance and flying operations. Schedules PMIs as required. Adheres to safety procedures and follows technical orders as applicable.</p> <p>USAF equivalent position is AGE Mechanic Apprentice.</p> <h4>Essential responsibilities</h4> <p>Maintains external fuel and grounding systems; performs scheduled and unscheduled maintenance on GSE; inspects, tests, and operates GSE to determine equipment serviceability and proper operation; services equipment with fuel, oil, water, coolant, hydraulic fluid, refrigerant, and compressed air; diagnoses mechanical and electronic circuitry malfunctions using visual and auditory senses, test equipment, and technical publications.</p> <p>Disassembles and assembles malfunctioning basic GSE accessories and components; removes, disassembles repairs, cleans, treats for corrosion, assembles, and reinstalls GSE components and accessories; stencils and marks GSE in accordance with technical publications; stores, handles, labels, uses, and disposes of hazardous materials and waste in accordance with all state, local, and federal environmental standards and regulations.</p> <p>Prepares GSE for storage and mobility deployment; and operates, cleans, inspects, and services GSE towing vehicles.</p> <p>Assists in maintaining vehicle records and assists with updating paper and electronic equipment records; provides dispatch service for GSE, including positioning equipment to support aircraft maintenance and flying operations; practices good housekeeping, tool control, foreign object damage prevention, and safety at all times.</p> <p>Performs all other duties as assigned or requested.</p> <h4>Minimum requirements</h4> <ul> <li>Must have high school diploma or have completed relevant military and/or vocational technical school curriculum.</li> <li>Minimum of one-year actual AGE maintenance experience required.</li> <li>Must be qualified with most basic types and uses of AGE equipment.</li> <li>Must be familiar with diesel engine maintenance and repair, and HVAC maintenance and repair at the basic level.</li> <li>Must be able to perform increment monitor duties to include but not limited to equipment/cargo preparation, documentation, pallet build-up, and hazardous cargo.</li> <li>Must be able to inspect, repair, and operate ground support and auxiliary equipment.</li> <li>Must achieve a passing grade in all required courses/certifications for continued employment, as needed.</li> <li>Employee must meet all OCONUS deployment criteria, to include pre-deployment medical screening, as a condition of employment.</li> <li>Must be able to deploy to forward locations (other countries) as directed by the government.</li> <li>Must be able to lift, carry and/or wear military issued equipment in excess of 50 pounds for extended periods.</li> <li>Must be able to speak, read, write, and understand English.</li> <li>Must have had an active secret US government clearance within the last 12 months. Note: US citizenship is required to obtain a secret clearance.</li> <li>Must be able to maintain required DoD security clearance commensurate with the assigned duties during employment.</li> <li>Must have current/active state issued driver’s license.</li> <li>Must be able to acquire and maintain a valid flight-line government driver’s license.</li> <li>Must have valid U.S. passport with a minimum of two years remaining with at least two facing pairs (four total) of blank visa pages.</li> <li>Must be fully COVID-19 vaccinated with booster. Accommodations may be available under limited circumstances.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Associate degree in a relevant career field.</li> <li>RPA deployment experience.</li> <li>Prior experience as a defense contractor.</li> <li>Vehicle operator training.</li> <li>AGE mechanic experience within the last 10 years.</li> </ul></p><p></p>

<p>The Back End LSM Mechanic is responsible for the maintenance, repair, and troubleshooting of all Machine (LSM) equipment and associated machinery in the back-end production process. This role ensures optimal machine performance, minimizes downtime, and contributes to the overall efficiency and quality of can manufacturing operations.</p><p><strong>Job Responsibilities:</strong></p><ul><li>Perform routine preventive maintenance on LSM Machines, ensuring all components are functioning correctly and efficiently.</li><li>Diagnose and troubleshoot mechanical, electrical, and pneumatic issues on LSM equipment, identifying root causes and implementing effective solutions.</li><li>Execute repairs, overhauls, and replacements of machine parts, including motors, gears, bearings, sensors, and control systems.</li><li>Conduct regular inspections of LSMs to detect potential problems early and proactively address them to prevent breakdowns.</li><li>Collaborate with production operators and other maintenance staff to optimize machine settings and improve operational efficiency.</li><li>Maintain accurate records of maintenance activities, including repairs performed, parts used, and machine performance data.</li><li>Adhere to all safety regulations and company policies, ensuring a safe working environment.</li><li>Assist in the installation and commissioning of new LSM equipment and upgrades.</li><li>Participate in continuous improvement initiatives aimed at enhancing machine reliability and reducing maintenance costs.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>High School Diploma or equivalent; a technical diploma or certification in mechanical, electrical, or industrial maintenance is highly preferred.</li><li>Proven experience (minimum 1-2 years) as a maintenance mechanic, specifically with LMS Machines or similar high-speed industrial machinery in a manufacturing environment.</li><li>Strong understanding of mechanical systems, hydraulics, pneumatics, and basic electrical circuits.</li><li>Ability to read and interpret technical manuals, schematics, and blueprints.</li><li>Proficiency in using various hand and power tools, as well as diagnostic equipment.</li><li>Excellent troubleshooting and problem-solving skills, with a keen eye for detail.</li><li>Ability to work independently and as part of a team in a fast-paced manufacturing setting.</li><li>Strong communication skills, both written and verbal.</li><li>Willingness to work shifts, weekends, and holidays as required by production schedules.</li><li>Physical ability to lift heavy objects, stand for extended periods, and work in various environmental conditions.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b><span>Working at Freudenberg: We will wow your world!</span></b></p><br><span>Responsibilities:</span><p><span>Key Responsibilities&nbsp;</span>&nbsp;</p><br><ul><li><p><span><span>Troubleshoot and repair machines&nbsp;</span></span></p><br></li><li><p><span><span>Reduce downtime of machines to support production demand</span></span></p><br></li><li><p><span><span>Design, engineer, and fabricate machine parts as required&nbsp;</span></span></p><br></li><li><p><span><span>Perform preventative maintenance on machines as scheduled&nbsp;</span></span></p><br></li><li><p><span><span>Meet with production leads and supervisors regarding operation of machines&nbsp;</span></span></p><br></li></ul><p>Additional<span> Responsibilities&nbsp;</span>&nbsp;</p><br><ul><li><p><span><span>Basic PLC knowledge and troubleshooting</span></span></p><br></li><li><p><span><span>Assist in the maintenance and repair production equipment’s</span></span></p><br></li><li><p><span><span>Perform routine maintenance functions and adjustments to equipment’s</span></span></p><br></li><li><p><span><span>Responsible for shop cleanliness, </span><span>safety</span><span> and compliance</span></span></p><br></li><li><p><span><span>Follow Health, Safety, Environmental, Quality and Lean standards</span></span></p><br></li></ul><p><span><span>Interactions: </span></span> <span><span>All functional areas of Production&nbsp;</span></span>&nbsp;</p><br><span>Qualifications:</span><p><span>Work Experience and Education&nbsp;</span>&nbsp;</p><br><ul><li><p><span><span>High School diploma or </span><span>equivalent level of education required</span></span></p><br></li><li><p><span><span>5+ years of machine repair experience in Production setting</span></span></p><br></li><li><p><span><span>Prior experience performing preventative Maintenance on machines</span></span></p><br></li><li><p><span><span>Electrical experience</span></span></p><br></li><li><p><span><span>Pneumatic experience</span></span></p><br></li><li><p><span><span>Prior experience effectively trouble-shooting automation equipmen</span><span>t</span></span></p><br></li></ul><p><span>Specific knowledge&nbsp;</span>&nbsp;</p><br><ul><li><p><span><span>Mechanical aptitude&nbsp;</span></span></p><br></li><li><p><span><span>Basic PLC knowledge and troubleshooting</span></span></p><br></li><li><p><span><span>Lift objects of various shapes, </span><span>sizes</span><span> and weights&nbsp;</span></span></p><br></li><li><p><span><span>Excellent listening skills and ability to follow instructions as well as provide directions on step-by-step repair process</span></span></p><br></li><li><p><span><span>Motivated, organized, eager to learn and possess a positive attitude toward the job</span></span></p><br></li></ul><p><span>Specific competencies&nbsp;&nbsp;</span>&nbsp;</p><br><ul><li><p><span><span>Motivated individuals who want to work and will show up to their scheduled shifts on time and excited and ready to work</span></span></p><br></li><li><p><span><span>High level of accuracy and attention to detail</span></span></p><br></li><li><p><span><span>Priorities setting capabilities, time management and flexibility</span></span></p><br></li><li><p><span><span>Trouble shooting and learning</span></span></p><br></li><li><p><span>Strong communication skills&nbsp;</span></p><br></li></ul><p>‎ ‎ </p><br><p><span>The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.</span></p><br>Freudenberg Vileda Jordan Ltd. </div>

<p><h4>Program summary</h4> <p>KBR, through the AFCAP V Program, assists the U.S. Air Force by offering Southwest Asia Transient Aircraft Services (SWA TAS). These services facilitate essential aircraft arrivals and departures services for United States and Coalition Forces. Alongside SWA Transient Aircraft Services, KBR delivers engineering support, NTV leasing, LAMS, power production, BOS-I, and a range of quality-of-life solutions that help sustain base operations.</p> <h4>Job summary</h4> <p>The Transient Aircraft Services (TAS) Technician is responsible for the execution of aircraft ground handling and servicing operations at an assigned installation. Reporting directly to the Supervisor, the TAS Technician performs aircraft arrival, marshaling, parking, servicing, turn-around, and departure tasks in support of mission requirements.</p> <p>This position ensures all aircraft servicing activities are conducted safely, efficiently, and in full compliance with the Performance Work Statement (PWS), applicable Technical Orders, airfield safety standards, and U.S. Government/U.S. Air Force directives. The TAS Technician is accountable for maintaining operational readiness, adhering to strict safety protocols, and supporting continuous 24/7/365 flight line operations in a high-tempo, austere environment.</p> <h4>Roles and responsibilities</h4> <ul> <li>Maintain a ZERO Harm workplace by strictly adhering to all flight line safety requirements, including FOD prevention, tool control, and proper use of PPE at all times.</li> <li>Perform aircraft marshaling, parking, and positioning in accordance with applicable Technical Orders and airfield procedures.</li> <li>Execute aircraft arrival and departure services, including chocking, grounding, and ensuring safe positioning on the flight line.</li> <li>Conduct aircraft servicing operations, including general ground handling tasks required to support aircraft turn-around and mission readiness.</li> <li>Assist in aircraft launch and recovery operations in coordination with Supervisors and Airfield Management.</li> <li>Perform operator-level inspections and servicing of assigned equipment, including vehicles and support equipment used in TAS operations.</li> <li>Maintain strict accountability of tools and equipment; ensure compliance with tool control programs at all times.</li> <li>Participate in FOD prevention activities, including routine flight line inspections and immediate removal of foreign objects.</li> <li>Follow all applicable Technical Orders, safety directives, and standard operating procedures during all aircraft servicing operations.</li> <li>Communicate effectively with Supervisors and team members to ensure safe and efficient execution of tasks.</li> <li>Identify and report safety hazards, equipment malfunctions, and operational issues to leadership immediately.</li> <li>Support documentation requirements, including aircraft servicing records, shift logs, and inspection checklists.</li> <li>Assist in maintaining cleanliness and organization of the flight line and work areas.</li> <li>Support training and qualification requirements to maintain mission readiness and compliance with certification standards.</li> <li>Perform duties in austere conditions, including extreme weather, while maintaining safety and operational discipline.</li> <li>Perform additional duties and tasks as assigned by the Supervisor or Site Manager.</li> </ul> <h4>Basic qualifications</h4> <ul> <li>Must be a U.S. citizen</li> <li>Ability to obtain and maintain a SECRET clearance</li> <li>Ability to maintain operational continuity across rotations and work within Government-led governance rhythms</li> <li>Minimum 3–5 years of experience in aviation operations, aircraft maintenance, or Transient Aircraft Services</li> <li>Hands-on experience working on a flight line or in aircraft ground operations</li> <li>Basic knowledge of: <ul> <li>Aircraft marshaling and ground handling procedures</li> <li>Flight line safety requirements</li> <li>Use of ground support equipment</li> </ul> </li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Prior experience supporting U.S. Air Force TAS operations</li> <li>FAA Airframe & Powerplant (A&P) certification or equivalent military experience</li> <li>Familiarity with FOD programs, tool control, and flight line safety compliance</li> <li>Experience coordinating with MOC, Airfield Management, and aircraft maintenance teams</li> </ul> <h4>KBR benefits</h4> <p>KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance,</p><p></p>

<p><h4>Program summary</h4> <p>KBR, through the AFCAP V Program, assists the U.S. Air Force by offering Southwest Asia Transient Aircraft Services (SWA TAS). These services facilitate essential aircraft arrivals and departures services for United States and Coalition Forces. Alongside SWA Transient Aircraft Services, KBR delivers engineering support, NTV leasing, LAMS, power production, BOS-I, and a range of quality-of-life solutions that help sustain base operations.</p> <h4>Job summary</h4> <p>The Transient Aircraft Services (TAS) Technician is responsible for the execution of aircraft ground handling and servicing operations at an assigned installation. Reporting directly to the Supervisor, the TAS Technician performs aircraft arrival, marshaling, parking, servicing, turn-around, and departure tasks in support of mission requirements.</p> <p>This position ensures all aircraft servicing activities are conducted safely, efficiently, and in full compliance with the Performance Work Statement (PWS), applicable Technical Orders, airfield safety standards, and U.S. Government/U.S. Air Force directives. The TAS Technician is accountable for maintaining operational readiness, adhering to strict safety protocols, and supporting continuous 24/7/365 flight line operations in a high-tempo, austere environment.</p> <h4>Roles and responsibilities</h4> <ul> <li>Maintain a ZERO Harm workplace by strictly adhering to all flight line safety requirements, including FOD prevention, tool control, and proper use of PPE at all times.</li> <li>Perform aircraft marshaling, parking, and positioning in accordance with applicable Technical Orders and airfield procedures.</li> <li>Execute aircraft arrival and departure services, including chocking, grounding, and ensuring safe positioning on the flight line.</li> <li>Conduct aircraft servicing operations, including general ground handling tasks required to support aircraft turn-around and mission readiness.</li> <li>Assist in aircraft launch and recovery operations in coordination with Supervisors and Airfield Management.</li> <li>Perform operator-level inspections and servicing of assigned equipment, including vehicles and support equipment used in TAS operations.</li> <li>Maintain strict accountability of tools and equipment; ensure compliance with tool control programs at all times.</li> <li>Participate in FOD prevention activities, including routine flight line inspections and immediate removal of foreign objects.</li> <li>Follow all applicable Technical Orders, safety directives, and standard operating procedures during all aircraft servicing operations.</li> <li>Communicate effectively with Supervisors and team members to ensure safe and efficient execution of tasks.</li> <li>Identify and report safety hazards, equipment malfunctions, and operational issues to leadership immediately.</li> <li>Support documentation requirements, including aircraft servicing records, shift logs, and inspection checklists.</li> <li>Assist in maintaining cleanliness and organization of the flight line and work areas.</li> <li>Support training and qualification requirements to maintain mission readiness and compliance with certification standards.</li> <li>Perform duties in austere conditions, including extreme weather, while maintaining safety and operational discipline.</li> <li>Perform additional duties and tasks as assigned by the Supervisor or Site Manager.</li> </ul> <h4>Basic qualifications</h4> <ul> <li>Must be a U.S. citizen</li> <li>Ability to obtain and maintain a SECRET clearance</li> <li>Ability to maintain operational continuity across rotations and work within Government-led governance rhythms</li> <li>Minimum 3–5 years of experience in aviation operations, aircraft maintenance, or Transient Aircraft Services</li> <li>Hands-on experience working on a flight line or in aircraft ground operations</li> <li>Basic knowledge of: <ul> <li>Aircraft marshaling and ground handling procedures</li> <li>Flight line safety requirements</li> <li>Use of ground support equipment</li> </ul> </li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Prior experience supporting U.S. Air Force TAS operations</li> <li>FAA Airframe & Powerplant (A&P) certification or equivalent military experience</li> <li>Familiarity with FOD programs, tool control, and flight line safety compliance</li> <li>Experience coordinating with MOC, Airfield Management, and aircraft maintenance teams</li> </ul> <h4>KBR benefits</h4> <p>KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance,</p><p></p>

<p><h4>Program summary</h4> <p>KBR, through the AFCAP V Program, assists the U.S. Air Force by offering Southwest Asia Transient Aircraft Services (SWA TAS). These services facilitate essential aircraft arrivals and departures services for United States and Coalition Forces. Alongside SWA Transient Aircraft Services, KBR delivers Engineering Support, NTV Leasing, LAMS, Power Production, BOS-I, and a range of quality-of-life solutions that help sustain base operations.</p> <h4>Job summary</h4> <p>The Transient Aircraft Services (TAS) Technician is responsible for the execution of aircraft ground handling and servicing operations at an assigned installation. Reporting directly to the Supervisor, the TAS Technician performs aircraft arrival, marshaling, parking, servicing, turn-around, and departure tasks in support of mission requirements.</p> <p>This position ensures all aircraft servicing activities are conducted safely, efficiently, and in full compliance with the Performance Work Statement (PWS), applicable Technical Orders, airfield safety standards, and U.S. Government/U.S. Air Force directives. The TAS Technician is accountable for maintaining operational readiness, adhering to strict safety protocols, and supporting continuous 24/7/365 flight line operations in a high-tempo, austere environment.</p> <h4>Roles and responsibilities</h4> <ul> <li>Maintain a ZERO Harm workplace by strictly adhering to all flight line safety requirements, including FOD prevention, tool control, and proper use of PPE at all times.</li> <li>Perform aircraft marshaling, parking, and positioning in accordance with applicable Technical Orders and airfield procedures.</li> <li>Execute aircraft arrival and departure services, including chocking, grounding, and ensuring safe positioning on the flight line.</li> <li>Conduct aircraft servicing operations, including general ground handling tasks required to support aircraft turn-around and mission readiness.</li> <li>Assist in aircraft launch and recovery operations in coordination with Supervisors and Airfield Management.</li> <li>Perform operator-level inspections and servicing of assigned equipment, including vehicles and support equipment used in TAS operations.</li> <li>Maintain strict accountability of tools and equipment; ensure compliance with tool control programs at all times.</li> <li>Participate in FOD prevention activities, including routine flight line inspections and immediate removal of foreign objects.</li> <li>Follow all applicable Technical Orders, safety directives, and standard operating procedures during all aircraft servicing operations.</li> <li>Communicate effectively with Supervisors and team members to ensure safe and efficient execution of tasks.</li> <li>Identify and report safety hazards, equipment malfunctions, and operational issues to leadership immediately.</li> <li>Support documentation requirements, including aircraft servicing records, shift logs, and inspection checklists.</li> <li>Assist in maintaining cleanliness and organization of the flight line and work areas.</li> <li>Support training and qualification requirements to maintain mission readiness and compliance with certification standards.</li> <li>Perform duties in austere conditions, including extreme weather, while maintaining safety and operational discipline.</li> <li>Perform additional duties and tasks as assigned by the Supervisor or Site Manager.</li> </ul> <h4>Basic qualifications</h4> <ul> <li>Must be a U.S. citizen</li> <li>Ability to obtain and maintain a SECRET clearance</li> <li>Ability to maintain operational continuity across rotations and work within Government-led governance rhythms</li> <li>Minimum 3–5 years of experience in aviation operations, aircraft maintenance, or Transient Aircraft Services</li> <li>Hands-on experience working on a flight line or in aircraft ground operations</li> <li>Basic knowledge of: <ul> <li>Aircraft marshaling and ground handling procedures</li> <li>Flight line safety requirements</li> <li>Use of ground support equipment</li> </ul> </li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Prior experience supporting U.S. Air Force TAS operations</li> <li>FAA Airframe & Powerplant (A&P) certification or equivalent military experience</li> <li>Familiarity with FOD programs, tool control, and flight line safety compliance</li> <li>Experience coordinating with MOC, Airfield Management, and aircraft maintenance teams</li> </ul> <h4>KBR benefits</h4> <p>KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical,</p><p></p>

<p>1. JOB DETAILS:</p><p>Job Title: Analyst, ML Engineer</p><p>Reports to: Sr. Manager, IT Digital Platforms &amp; Digital Transformation</p><p>Department: IT Applications</p><p>Function: IT Applications</p><p>Company: Hikma Holding</p><p>2. JOB PURPOSE:</p><p>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers team, this role provides hands-on ML engineering support across the solution lifecycle from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</p><p>3. JOB DIMENSIONS:</p><p>Number of Staff Supervised: Direct Reports Count: 0 (0 vacant)</p><p>Indirect Reports Count: N/A</p><p>Financial Budget (USD): Supports AI initiative delivery under team supervision</p><p>4. KEY ACCOUNTABILITIES:</p><p>ML Model Development &amp; Experimentation</p><ul><li>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</li><li>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</li><li>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</li><li>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</li><li>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</li><li>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</li></ul><p>Data Engineering &amp; Feature Development</p><ul><li>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</li><li>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</li><li>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</li><li>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</li></ul><p>ML-Ops &amp; Production Support</p><ul><li>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</li><li>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</li><li>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</li><li>Maintain accurate records in model registries including versioning and change logs across AI initiatives</li><li>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</li></ul><p>Quality Assurance &amp; Testing</p><ul><li>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</li><li>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</li><li>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</li><li>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</li></ul><p>5. Behavioural Competencies:</p><p>Initiative &amp; Drive for Results - Very Good</p><p>Change &amp; Innovation - Very Good</p><p>Communication &amp; Influence - Good</p><p>Developing &amp; Empowering others - Good</p><p>Problem Solving &amp; decision Making - Excellent</p><p>Strategic Thinking - Good</p><p>6. Technical Competencies:</p><p>ML Model Development &amp; Experimentation - Good</p><p>Python &amp; ML Frameworks (PyTorch, TensorFlow, scikit-learn, HuggingFace) - Good</p><p>MLOps &amp; Model Lifecycle Tooling - Good</p><p>Data Engineering &amp; Pipeline Support - Good</p><p>Cloud AI/ML Services (Azure ML) - Good</p><p>Generative AI &amp; LLM Development (RAG, LangChain, Semantic Kernel) - Very Good</p><p>Model Explainability &amp; Responsible AI Awareness - Very Good</p><p>Containerization &amp; CI/CD Basics (Docker, Git, Azure DevOps) - Good</p><p>7. COMMUNICATIONS &amp; WORKING RELATIONSHIPS:</p><p>Internal: AI Champions Network, AI Architect, AI Developer, Data &amp; Analytics Team</p><p>External: AI/ML Vendors &amp; Solution Providers, Implementation Partners, Open Source &amp; Developer Communities</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Software Engineering, Data Science, Mathematics, Statistics, or related technical field *(Required)*</li><li>Master's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science *(Preferred)*</li><li>Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, or Google Professional ML Engineer certification *(Preferred)*</li><li>Relevant ML/AI certifications (e.g., DeepLearning.AI ML Specialization, Databricks ML Associate, fast.ai) *(Preferred)*</li><li>0-1 year of professional experience in software development, data science, machine learning, or a related technical field (fresh graduates are welcome to apply)</li><li>Demonstrated hands-on experience with ML model development through academic projects, internships, capstone projects, hackathons, or personal projects</li><li>Familiarity with cloud AI/ML platforms (Azure, AWS, or GCP) gained through coursework, self-study, or practical experimentation *(Preferred)*</li><li>Any exposure to generative AI, LLM tools, or RAG concepts through academic or personal projects *(Preferred)*</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry exposure *(Preferred but not expected)*</li><li>Working knowledge of Python and foundational ML/DL libraries including scikit-learn, pandas, NumPy, and at least one deep learning framework</li><li>Practical exposure to training and evaluating ML models including classical machine learning and at least one of: NLP, computer vision, or time-series analysis through academic, personal, or internship projects</li><li>Basic familiarity with generative AI concepts including Large Language Models, prompt engineering, and RAG principles *(Preferred)*</li><li>Awareness of ML-Ops concepts and tools such as ML-flow or Azure Machine Learning for experiment tracking and model management *(Preferred)*</li><li>Basic experience with data preparation, cleaning, transformation, and exploratory data analysis using Python</li><li>Familiarity with version control using Git and basic software development practices including code reviews and testing</li><li>Basic understanding of cloud platforms (Azure, AWS, or GCP) and awareness of cloud-based AI/ML services *(Preferred)*</li><li>Familiarity with containerization concepts (Docker) and CI/CD basics *(Preferred)*</li><li>Awareness of responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security practices relevant to ML development</li><li>Any familiarity with pharmaceutical business processes or GxP compliance in a technology context is a plus *(Preferred)*</li></ul>

<p><h4>Description</h4> <p>We're looking for an experienced senior data scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.</p> <p>Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities</li> <li>Translate business requirements into scalable data science and machine learning solutions</li> <li>Validate data availability and define analytical approaches for new use cases</li> <li>Build predictive models, machine learning solutions, and GenAI applications</li> <li>Design robust data pipelines and analytical workflows</li> <li>Apply data processing, feature engineering, and statistical modelling techniques</li> <li>Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices</li> <li>Present analytical findings and recommendations to technical and executive stakeholders</li> <li>Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way</li> <li>Mentor junior team members and support technical delivery across multiple initiatives</li> </ul> <h4>You're our match if you have</h4> <ul> <li>Master's degree in data science, computer science, artificial intelligence, mathematics, software engineering, or a related field</li> <li>5+ years of hands-on experience delivering data science or machine learning solutions</li> <li>Strong Python programming skills and experience with modern data science libraries</li> <li>Experience building predictive models, machine learning solutions, and GenAI applications</li> <li>Strong understanding of statistics, data modelling, and feature engineering</li> <li>Experience designing scalable data pipelines and production-ready AI solutions</li> <li>Familiarity with MLOps, model deployment, and machine learning lifecycle management</li> <li>Excellent stakeholder management and communication skills</li> <li>Ability to translate complex technical concepts into business value</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Telecommunications or other customer-centric industries</li> <li>Large-scale customer analytics and segmentation</li> <li>Large language models (LLMs) and retrieval-augmented generation (RAG)</li> <li>Cloud platforms such as Azure, AWS, or Google Cloud</li> <li>Databricks, Spark, or distributed data processing</li> <li>Docker, Kubernetes, or CI/CD pipelines</li> <li>Leading or mentoring technical teams</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We're looking for an experienced senior data scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.</p> <p>Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.</p> <h4>Requirements</h4> <h4>What you'll do</h4> <ul> <li>Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities</li> <li>Translate business requirements into scalable data science and machine learning solutions</li> <li>Validate data availability and define analytical approaches for new use cases</li> <li>Build predictive models, machine learning solutions, and GenAI applications</li> <li>Design robust data pipelines and analytical workflows</li> <li>Apply data processing, feature engineering, and statistical modelling techniques</li> <li>Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices</li> <li>Present analytical findings and recommendations to technical and executive stakeholders</li> <li>Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way</li> <li>Mentor junior team members and support technical delivery across multiple initiatives</li> </ul> <h4>You're our match if you have</h4> <ul> <li>Master's degree in data science, computer science, artificial intelligence, mathematics, software engineering, or a related field</li> <li>5+ years of hands-on experience delivering data science or machine learning solutions</li> <li>Strong Python programming skills and experience with modern data science libraries</li> <li>Experience building predictive models, machine learning solutions, and GenAI applications</li> <li>Strong understanding of statistics, data modelling, and feature engineering</li> <li>Experience designing scalable data pipelines and production-ready AI solutions</li> <li>Familiarity with MLOps, model deployment, and machine learning lifecycle management</li> <li>Excellent stakeholder management and communication skills</li> <li>Ability to translate complex technical concepts into business value</li> </ul> <h4>Bonus points if you have experience with</h4> <ul> <li>Telecommunications or other customer-centric industries</li> <li>Large-scale customer analytics and segmentation</li> <li>Large language models (LLMs) and retrieval-augmented generation (RAG)</li> <li>Cloud platforms such as Azure, AWS, or Google Cloud</li> <li>Databricks, Spark, or distributed data processing</li> <li>Docker, Kubernetes, or CI/CD pipelines</li> <li>Leading or mentoring technical teams</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for an experienced Senior Data Scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.<br> Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions.<br> From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.<br> What You'll Do ❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities ❏ Translate business requirements into scalable data science and machine learning solutions ❏ Validate data availability and define analytical approaches for new use cases ❏ Build predictive models, machine learning solutions, and GenAI applications ❏ Design robust data pipelines and analytical workflows ❏ Apply data processing, feature engineering, and statistical modelling techniques ❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices ❏ Present analytical findings and recommendations to technical and executive stakeholders ❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way ❏ Mentor junior team members and support technical delivery across multiple initiatives You're Our Match If You Have ❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field ❏ 5+ years of hands-on experience delivering data science or machine learning solutions ❏ Strong Python programming skills and experience with modern data science libraries ❏ Experience building predictive models, machine learning solutions, and GenAI applications ❏ Strong understanding of statistics, data modelling, and feature engineering ❏ Experience designing scalable data pipelines and production-ready AI solutions ❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management ❏ Excellent stakeholder management and communication skills ❏ Ability to translate complex technical concepts into business value Bonus Points If You Have Experience With ❏ Telecommunications or other customer-centric industries ❏ Large-scale customer analytics and segmentation ❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) ❏ Cloud platforms such as Azure, AWS, or Google Cloud ❏ Databricks, Spark, or distributed data processing ❏ Docker, Kubernetes, or CI/CD pipelines ❏ Leading or mentoring technical teams</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> <strong><span>1. JOB DETAILS:</span></strong> <br> <span>Job Title:</span> <span>Analyst, ML Engineer </span> <br> <span>Reports to:</span> <span>Sr. Manager, IT Digital Platforms &amp; Digital Transformation</span> <br> <span>Department:</span> <span>IT Applications </span> <br> <span>Function:</span> <span>IT Applications</span> <br> <span>Company:</span> <span>Hikma Holding</span> <br> <strong><span>2. JOB PURPOSE:</span></strong> <br> </span><p><span>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers’ team, this role provides hands-on ML engineering support across the solution lifecycle — from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</span></p><br> <br> <strong><span>3. JOB DIMENSIONS:</span></strong> <br> <p><span>Number of Staff Supervised:</span></p><br> <p><span>Direct Reports Count:</span></p><br> <p><span>0 (0 vacant)</span></p><br> <br> <p><span>Indirect Reports Count:</span></p><br> <p><span>N/A</span></p><br> <br> <p><span>Financial Budget (USD):</span></p><br> <p><span>Supports AI initiative delivery under team supervision</span></p><br> <br> <p><span>4. KEY ACCOUNTABILITIES:</span></p><br> <br> <p><span>Description</span></p><br> <br> <p><strong><span>ML Model Development &amp; Experimentation</span></strong></p><br> <br> <ul> <li><span>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</span></li> <li><span>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</span></li> <li><span>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</span></li> <li><span>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</span></li> <li><span>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</span></li> <li><span>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</span></li> </ul> <br> <p><strong><span>Data Engineering &amp; Feature Development</span></strong></p><br> <br> <ul> <li><span>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</span></li> <li><span>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</span></li> <li><span>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</span></li> <li><span>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</span></li> </ul> <br> <p><strong><span>ML-Ops &amp; Production Support</span></strong></p><br> <br> <ul> <li><span>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</span></li> <li><span>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</span></li> <li><span>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</span></li> <li><span>Maintain accurate records in model registries including versioning and change logs across AI initiatives</span></li> <li><span>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</span></li> </ul> <br> <p><strong><span>Quality Assurance &amp; Testing</span></strong></p><br> <br> <ul> <li><span>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</span></li> <li><span>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</span></li> <li><span>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</span></li> <li><span>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</span></li> </ul> <br> </div>

<p><h4>Job description</h4> <p>Employee will be part of the deployment pool and will be required to support deployments to various CONUS/OCONUS locations, as required. This position will require the member to be flexible in the support of assigned deployment/work schedules.</p> <p>Accounts for all materials and/or support equipment being shipped out of, and received, at the facility. Ensures parts due in from maintenance (DIFM) are properly tracked and takes appropriate actions to meet applicable deadlines. Keeps a running inventory of stock/equipment using appropriate software. Researches and orders parts, materials, and tools for use to ensure maintenance operational capabilities. Ensures the overall serviceability of all support equipment and related items. Keeps track of all assigned government property entering and leaving the facility. Processes paperwork, including filing DD-1149s, for all supply/support activities. Ensures proper allotment of material and/or equipment to appropriate maintenance personnel in support of maintenance operations.</p> <p>USAF equivalent position is Supply Technician Journeyman.</p> <h4>Essential responsibilities:</h4> <ul> <li>Performs warehousing and support program duties in support of maintenance operations within the site at the comprehensive level.</li> <li>Assists in verifying materials (or merchandise) against receiving documents, noting, and reporting discrepancies and damages.</li> <li>Routes materials and parts to prescribed storage locations and/or facilities as needed for operational support.</li> <li>Stores, stacks, or palletizes materials and/or equipment in accordance with applicable technical guidelines.</li> <li>Rearranges and takes inventory of stored materials/equipment and documents within assigned database.</li> <li>Performs the examination of stored materials and reports deterioration and damage; removes material from storage and prepares it for shipment.</li> <li>May operate hand and/or power trucks and/or equipment in performing warehousing and support duties.</li> <li>Performs miscellaneous quality assurance duties including CTK inspections, inventory process checks, inspecting and examining materials, article inspections, etc.</li> <li>Supports supervisor with inventory management of decentralized and decontrolled items, including supplies and equipment in accordance with applicable AFIs.</li> <li>Supervises, trains, and provides mentorship to subordinate personnel in support/supply functions.</li> <li>Performs all other duties as assigned or requested.</li> </ul> <h4>Minimum requirements:</h4> <ul> <li>Must have high school diploma or have completed relevant military and/or vocational technical school curriculum.</li> <li>Minimum of three years actual supply/support experience and/or combination of related aircraft maintenance experience required.</li> <li>Must possess comprehensive knowledge of governing supply and/or support systems/programs, policies, nomenclature, work methods, manuals, or other established guidelines.</li> <li>Must have the comprehensive analytical ability to define problems, collect necessary data, establish facts, and take recommended actions based upon applicable established guidelines.</li> <li>Must be able to perform increment monitor duties to include but not limited to equipment/cargo preparation, documentation, pallet build-up, and hazardous cargo.</li> <li>Must be familiar with computerized databases, spreadsheets, and computerized inventory management programs.</li> <li>Must have comprehensive experience with material handling equipment.</li> <li>Must have good planning and organizational skills.</li> <li>Must be able to deploy to forward locations (other countries) as directed by the government.</li> <li>Must be able to work under deadlines.</li> <li>Employee must meet all OCONUS deployment criteria, including pre-deployment medical screening, as a condition of employment.</li> <li>Must be able to lift, carry and/or wear military issued equipment in excess of 50 pounds for extended periods.</li> <li>Must be able to speak, read, write, and understand English.</li> <li>Must submit updated SF-86 within 30 days of hire start date.</li> <li>Must have had an active secret US government clearance within the last 12 months. Note: US citizenship is required to obtain a secret clearance.</li> <li>Must be able to maintain required DoD security clearance commensurate with the assigned duties during employment.</li> <li>Must possess a valid U.S. driver’s license and be able to obtain a government driving permit.</li> <li>Must have valid U.S. passport with a minimum of two years remaining with at least two facing pairs (four total) of blank visa pages.</li> <li>Must be fully COVID-19 vaccinated with booster. Accommodations may be available under limited circumstances.</li> </ul> <h4>Preferred qualifications:</h4> <ul> <li>Associate degree in a relevant career field.</li> <li>RPA operations and deployment experience.</li> <li>Prior experience as a defense contractor.</li> <li>Vehicle operator training.</li> <li>Support/supply experience in the last 10 years.</li> </ul> <h4>Compensation details:</h4> <p>35.18</p> <p>The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws.</p> <h4>Benefits overview:</h4> <p>Our health and welfare benefits are designed to support you and your priorities. Offerings include:</p> <ul> <li>Health, dental, and vision insurance</li> <li>Paid time off and holidays</li> <li>Retirement benefits (including 401(k) matching)</li> <li>Educational reimbursement</li> <li>Parental leave</li> <li>Employee stock purchase plan</li> <li>Tax-saving options</li> <li>Disability and life insurance</li> <li>Pet insurance</li> </ul> <p>Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a collective bargaining agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits.</p> <h4>Additional information</h4> <p>Amentum is proud to be an equal opportunity employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives.<br> This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision.<br> You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.<br> Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems.<br> Collaborate with stakeholders to identify AI opportunities that drive business value.<br> Guide the team to effectively use machine learning frameworks and tools.<br> Oversee project lifecycle from research and prototyping to production deployment.<br> Maintain knowledge of latest trends and advancements in AI and machine learning.<br> Establish best practices and foster a culture of continuous improvement and innovation.<br> Paid Time Off Performance Bonus Training &amp; Development Experience: 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.<br> 3+ years of experience in a technical leadership or mentoring role.<br> Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).<br> Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).<br> NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.<br> CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.<br> MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.<br> Experience with building and deploying Autonomous AI Agents (e.<br>g., using Langchain,langgraph,Crew ai ).<br> Background in edge deployment for Computer Vision models (TensorRT, ONNX).<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives.<br> This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision.<br> You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.<br> Responsibilities: Lead the AI team in designing, developing, and implementing AI models and systems.<br> Collaborate with stakeholders to identify AI opportunities that drive business value.<br> Guide the team to effectively use machine learning frameworks and tools.<br> Oversee project lifecycle from research and prototyping to production deployment.<br> Maintain knowledge of latest trends and advancements in AI and machine learning.<br> Establish best practices and foster a culture of continuous improvement and innovation.<br> Paid Time Off Performance Bonus Training &amp; Development Experience: 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering.<br> 3+ years of experience in a technical leadership or mentoring role.<br> Programming &amp; Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow).<br> Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes).<br> NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph.<br> CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision.<br> MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production.<br> Experience with building and deploying Autonomous AI Agents (e.<br>g., using Langchain,langgraph,Crew ai ).<br> Background in edge deployment for Computer Vision models (TensorRT, ONNX).<br></span> </div>

<p>We are looking for a Data Scientist &amp; Data QA Engineer to join our team to ensure the quality, reliability, and performance of our data, AI, and machine learning solutions. This role is ideal for someone who enjoys working with data, solving complex problems, automating quality checks, and improving the reliability of AI-driven products.</p><p><strong>Responsibilities:</strong></p><ul><li><strong>Data &amp; QA:</strong> Design and execute data quality checks; validate data for accuracy, completeness, and consistency; perform source-to-target validation and reconciliation; use SQL and Python to investigate anomalies; develop automated testing frameworks; and support regression testing for production data and ML solutions.</li><li><strong>AI &amp; Machine Learning:</strong> Evaluate AI/ML models against business requirements; analyze outputs for inconsistencies; and support testing for model performance, data drift, bias, and reliability alongside Data Scientists and ML Engineers.</li><li><strong>Generative AI, LLM &amp; RAG Validation:</strong> Support the quality of GenAI, LLM, and RAG applications; test responses for accuracy and factuality; identify hallucinations and bias; perform prompt and scenario-based testing; and develop test data for continuous quality monitoring.</li><li><strong>Collaboration:</strong> Partner with Data Scientists, Data, ML, and Software Engineers, and Product teams to define quality standards, test strategies, and acceptance criteria while performing root-cause analysis on defects.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.</li><li>Experience in one or more of the following: Data QA, Data Science, Data Engineering, Machine Learning, or AI/ML Testing.</li><li>Strong Python and SQL programming skills.</li><li>Experience with automated testing, preferably PyTest or similar frameworks.</li><li>Solid understanding of data quality concepts and machine learning fundamentals.</li><li>Strong knowledge of prompt engineering and experience designing and evaluating prompts for AI/LLM applications.</li><li>Working knowledge of MCP (Model Context Protocol) servers and how they integrate with AI/LLM applications.</li><li>Experience working with skills files / AI agent configuration and instruction files and understanding how they are used to guide AI workflows.</li><li>Hands-on experience with Claude Code or similar AI-assisted development tools.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Hands-on experience with Generative AI, LLM applications, RAG architecture, and AI evaluation frameworks such as Ragas, TruLens, or DeepEval .</li><li>Familiarity with LLM platforms such as OpenAI, Anthropic, and Llama , as well as concepts such as data/model drift and bias monitoring.</li><li>Experience with cloud platforms such as AWS, Azure, or GCP and CI/CD processes.</li></ul>

<p><br></p> <p> </p> <p> <strong>About the Role</strong> </p> <p>We are looking for a Data Scientist &amp; Data QA Engineer to join our team to ensure the quality, reliability, and performance of our data, AI, and machine learning solutions. This role is ideal for someone who enjoys working with data, solving complex problems, automating quality checks, and improving the reliability of AI-driven products.</p> <p> </p> <p> <strong>Responsibilities:</strong> </p> <ul> <li>Data &amp; QA: Design and execute data quality checks; validate data for accuracy, completeness, and consistency; perform source-to-target validation and reconciliation; use SQL and Python to investigate anomalies; develop automated testing frameworks; and support regression testing for production data and ML solutions.</li> <li>AI &amp; Machine Learning: Evaluate AI/ML models against business requirements; analyze outputs for inconsistencies; and support testing for model performance, data drift, bias, and reliability alongside Data Scientists and ML Engineers.</li> <li>Generative AI, LLM &amp; RAG Validation: Support the quality of GenAI, LLM, and RAG applications; test responses for accuracy and factuality; identify hallucinations and bias; perform prompt and scenario-based testing; and develop test data for continuous quality monitoring.</li> <li>Collaboration: Partner with Data Scientists, Data, ML, and Software Engineers, and Product teams to define quality standards, test strategies, and acceptance criteria while performing root-cause analysis on defects.</li> </ul> <p> </p> <p> <strong>Profile Requirements:</strong> </p> <ul> <li>Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.</li> <li>Experience in one or more of the following: Data QA, Data Science, Data Engineering, Machine Learning, or AI/ML Testing.</li> <li>Strong Python and SQL programming skills.</li> <li>Experience with automated testing, preferably PyTest or similar frameworks.</li> <li>Solid understanding of data quality concepts and machine learning fundamentals.</li> <li>Strong knowledge of prompt engineering and experience designing and evaluating prompts for AI/LLM applications.</li> <li>Working knowledge of MCP (Model Context Protocol) servers and how they integrate with AI/LLM applications.</li> <li>Experience working with skills files / AI agent configuration and instruction files and understanding how they are used to guide AI workflows.</li> <li>Hands-on experience with Claude Code or similar AI-assisted development tools.</li> <li>Strong analytical, problem-solving, and communication skills.</li> <li>Preferred Qualifications</li> <li>Hands-on experience with Generative AI, LLM applications, RAG architecture, and AI evaluation frameworks such as <strong>Ragas, TruLens, or DeepEval</strong>.</li> <li>Familiarity with LLM platforms such as <strong>OpenAI, Anthropic, and Llama</strong>, as well as concepts such as data/model drift and bias monitoring.</li> <li>Experience with cloud platforms such as <strong>AWS, Azure, or GCP</strong> and CI/CD processes.</li> </ul> <p> </p> <p><br></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AI Trainer Location Irbid Jordan Job Type Full Time Onsite Language Requirement Arabic and English About the Role We are looking for a passionate and experienced AI Trainer to join our team in Irbid Jordan. The ideal candidate will have strong expertise in Artificial Intelligence Data Science and Machine Learning along with excellent teaching and communication skills. The role involves delivering practical and industry relevant training programs to adult learners and helping develop the next generation of AI professionals. Key Responsibilities Deliver training sessions on Artificial Intelligence Machine Learning Deep Learning Data Science Python Computer Vision Natural Language Processing and Large Language Models Develop training materials lesson plans assignments projects and assessments Customize training content based on learner skill levels and requirements Guide participants through hands on projects capstone assignments and real world AI use cases Provide technical feedback on coding assignments and project outcomes Monitor trainee progress and prepare performance reports Stay updated with the latest AI technologies tools and industry trends Collaborate with internal teams to improve training content and delivery Support learners in building AI portfolios GitHub repositories and practical projects Conduct mentoring sessions office hours and one on one coaching when required Requirements Bachelor degree in Computer Science Artificial Intelligence Data Science Software Engineering or a related field Minimum 4 years of experience in AI training teaching or technical instruction Strong practical knowledge of Python Pandas NumPy Scikit Learn TensorFlow and PyTorch Hands on experience with Machine Learning Deep Learning Natural Language Processing Large Language Models Computer Vision OpenCV Vision Language Models Data Science Data Analysis and MLOps fundamentals Excellent presentation classroom management and communication skills Ability to explain complex technical concepts to non technical audiences Experience training adult learners or corporate professionals is preferred Fluency in Arabic and English is required Ability to work onsite full time in Irbid Jordan<strong> </strong></p><br><br><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Preferred Skills Experience with Azure AI AWS SageMaker or Google Cloud AI Knowledge of Jupyter Notebook Google Colab Git and GitHub Experience in curriculum design and instructional content development Understanding of AI ethics responsible AI and AI governance Experience delivering bilingual training in Arabic and English Relevant certifications such as NVIDIA Deep Learning Institute Google Professional Machine Learning Engineer IBM Data Science Professional Certificate Microsoft Azure AI Engineer AI 102 or DeepLearning AI specializations are an advantage Candidates with published research technical articles or open source AI contributions will be preferred</p><p></p></section>

<p>About the Role As a Data Scientist at Aspire, you will be responsible for building and maintaining production machine learning solutions in a cloud environment. This role focuses on developing scalable ML models, collaborating with cross-functional teams, and supporting data-driven decision making across the organization. You will work within US time zones (PST to EST) and operate in a remote-first, distributed team environment.</p><p><b>What You'll Do</b></p><ul><li>Develop, deploy, and maintain production machine learning models.</li><li>Perform exploratory data analysis and feature engineering to extract actionable insights.</li><li>Build and improve data pipelines that support ML workflows and automation.</li><li>Collaborate with engineering and business stakeholders to deliver scalable ML solutions.</li><li>Contribute to AI/LLM-based capabilities where applicable to enhance product offerings.</li><li>Monitor and optimize model performance in production environments (not only notebook-based development).</li><li>Document all procedures, configurations, and changes in a clear, auditable manner.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>What You'll Need</p><ul><li>2+ years of experience building and maintaining production machine learning models.</li><li>Strong Python programming skills.</li><li>Experience with AWS SageMaker or another enterprise ML platform (e.g., Vertex AI or Azure ML) supporting production ML pipelines.</li><li>Experience deploying and monitoring ML models in production (not only notebook-based development).</li><li>Advanced SQL.</li><li>Git/version control.</li><li>Ability to work independently in production environments.</li><li>Experience with MLOps tools (MLflow, Airflow, dbt, or similar).</li><li>Snowflake.</li><li>Marketing, growth, experimentation, or causal inference experience.</li><li>Experience with LLMs or AI agents.</li><li>Agile development practices.</li><li>Experience building scalable ML solutions in enterprise environments.</li><li>Familiarity with cloud-based ML platforms and production deployment best practices.</li><li>Strong communication skills and ability to work with cross-functional teams.</li><li>Familiarity with US time zones (PST to EST) and remote collaboration workflows.</li></ul>