مطلوب مهندسين بترول
٥٦٢٠ وظائف شاغرة
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; Base problems on real research challenges or practical applications from physics practice; Verify solutions using Python with standard physics simulation libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for optical engineers with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Experience with numerical simulation methods; Ability to design problems that mirror real physics research workflows; Creative thinking in problem design across diverse physics areas; Familiarity with physics modeling and approximation techniques; Strong written English (C1+).<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $35 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p> <strong> </strong> </p>
<p> <strong>Location:</strong> Amman, Jordan</p>
<p> <strong>Job Type:</strong> Full-time</p>
<p> <strong>Hashtag:</strong> #LI-AA2</p>
<p> </p>
<p> <strong>About Us</strong> </p>
<p>For over 45 years, Hikma Pharmaceuticals has been putting better health within reach, every day, by creating high-quality medicines and making them accessible to those who need them. We are helping to shape a healthier world that enriches all our communities, and our global team of 9,400+ empowered colleagues are central to this mission. </p>
<p> </p>
<p>As a trusted and reliable partner of over 825 high-quality generics, specialty and branded pharmaceutical products, we are driven to improve access to medicine. Through our 29 manufacturing plants, 3 R&D hubs across MENA, North America and Europe, our footprint allows us to play a critical role in serving patients. </p>
<p> <strong> </strong> </p>
<p> <strong>Description:</strong> </p>
<p> <strong> </strong> </p>
<p>We are looking for a talented <strong>Manager, Talent Acquisition </strong>to join us. At Hikma you ll be supported by a culture of progress and belonging where people are encouraged to develop, wellbeing is prioritised and our inclusive approach values contributions from all. We re seeking candidates who embody our values: Innovative, driven to keep learning; Caring, genuinely compassionate in their work; and Collaborative, eager to solve problems together.</p>
<p> </p>
<p>If you want to be part of a team that cares about impact, this is the place for you.</p>
<p> </p>
<p> <strong>Key Responsibilities:</strong> </p>
<p> <strong> </strong> </p>
<p>Recruitment effectiveness and<strong> </strong>data</p>
<ul>
<li>Track and report on key recruitment metrics such as quality of hire, time to fill, source effectiveness, offer acceptance, and cost per hire.</li>
<li>Review and improve the recruitment dashboard: data quality, usability, and reporting for leadership.</li>
<li>Consolidate recruitment budget utilization across markets and business units.</li>
<li>Review high-turnover roles and support talent pipeline discussions.</li>
<li>Manage recruitment agency relationships and contracts, track performance, cost, and value across all active agreements.</li>
<li>Oversee the employee referral program at group level and ensure it is active, tracked, and delivering results.</li>
</ul>
<p> </p>
<p> <strong>AI tool and technology</strong> </p>
<ul>
<li>Be the business focal point in the rollout of Hikma's AI hiring tool.</li>
<li>Coordinate with the project team, drive adoption, and track progress.</li>
</ul>
<p> </p>
<p> <strong>Employer brand</strong> </p>
<ul>
<li>Manage Hikma's employer presence on LinkedIn, Glassdoor, and Indeed.</li>
<li>Monitor and respond to employer reviews; develop a content and posting strategy.</li>
<li>Use platform analytics to track and improve how we appear to candidates.</li>
</ul>
<p> </p>
<p> <strong>Capability building</strong> </p>
<ul>
<li>Design and deliver training for hiring managers on structured interviewing and assessment.</li>
<li>Build competency-based interview guidelines and question banks.</li>
<li>Define success criteria for recruitment effectiveness and support the team in applying them.</li>
</ul>
<p> </p>
<p> <strong>Policy and standards</strong> </p>
<ul>
<li>Identify gaps in recruitment policy and draft standards to address them.</li>
<li>Ensure consistency and fairness in hiring practices across markets.</li>
<li>Ensure recruitment practices comply with employment laws and regulations across all markets where we hire</li>
</ul>
<p> </p>
<p> <strong>Qualifications:</strong> </p>
<p>We are looking for candidates whose experience and skills align closely with the qualifications outlined below:</p>
<p> </p>
<ul>
<li>7 to 10 years of experience with a clear progression from operational recruiter to a more strategic or analytical role.</li>
<li>Strong recruitment foundation including end-to-end experience in a structured environment.</li>
<li>Has moved beyond day-to-day recruitment into process improvement, analytics, capability building, or TA leadership.</li>
<li>Regional or multi-market experience is an advantage.</li>
</ul>
<p> <strong> </strong> </p>
<p> <strong>Skills</strong> </p>
<ul>
<li>Has a strong grasp of recruitment data and analytics, with hands-on experience using dashboards or reporting tools to track performance and inform decisions.</li>
<li>Has designed and implemented recruitment tools or frameworks from scratch such as interview guides, assessment criteria, capability programs, or process improvements, and has seen them through to adoption.</li>
<li>Can manage a complex workstream independently, coordinate across multiple stakeholders, and keep things moving without being chased.</li>
<li>Communicates clearly and confidently in Arabic and English, in writing and in person, and can translate complex ideas into plain language for different audiences.</li>
<li>Familiar with LinkedIn, Glassdoor, or Indeed from an employer or admin perspective, with an understanding of how these platforms shape candidate perception.</li>
<li>Power BI or equivalent analytics tool experience is a plus.</li>
<li>Curious and analytical, always asking why processes work the way they do and using data to find better answers. </li>
<li>Takes full ownership of their work and follows through without needing to be reminded or redirected.</li>
<li>Comfortable operating in an environment that is still taking shape, and able to bring structure and clarity to ambiguous situations.</li>
<li>Builds trust across levels and geographies.</li>
</ul>
<p> </p>
<p> <strong>Learn more about Hikma in Jordan </strong> <strong>hikma-jordan-factsheet-aug-2025-en.pdf</strong> </p>
<p> <strong> </strong> </p>
<p> <strong> </strong> </p>
<p> <strong> </strong> </p>
<p> <strong> </strong> </p>
<p> <strong> </strong> </p></div></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $39 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span><span><span>About the Job</span></span></span><p><span><span><span><span><span><span>Hiring Events is a live production product that receives a high volume of support requests from clients, often related to malfunctioning or misconfigured features. The team plays a critical role in diagnosing, triaging, and resolving these issues—particularly with in-progress hiring events that are not functioning as expected. This involves debugging issues across systems, collaborating closely with the Client Support and GTM teams, and maintaining high client satisfaction, measured in part by user ratings.</span></span></span></span></span></span></p><br><span><span>What You'll Do</span></span><ul><li><p><span><span>Analyze and resolve production issues, especially related to ongoing hiring events.</span></span></p><br></li><li><p><span><span>Work closely with client-facing teams to address and triage support tickets.</span></span></p><br></li><li><p><span><span>Ensure timely resolution of issues to meet established SLAs.</span></span></p><br></li><li><p><span><span>Monitor production systems; respond swiftly to alerts or degradation in performance ("going red").</span></span></p><br></li><li><p><span><span>Support architecture changes and system integrations that may impact hiring events.</span></span></p><br></li><li><p><span><span>Maintain and update event logic in response to changes in dependencies and systems.</span></span></p><br></li></ul><br><br><span>Requirements<span></span><br><br></span><p><span><span><span><span><b><span><span>Must Have > 7+ yrs</span></span></b><br></span></span></span></span></p><br><ul><li><p><b><span><span>1st Priority:</span></span></b><span><span>Java/Springboot (Event Management Backend, Lobby Backend) – Primary</span></span><br></p><br></li><li><p><b><span><span>2nd Priority:</span></span></b><span><span>Django/Python (Event Management Backend, Lobby Backend) – Secondary</span></span><br></p><br></li><li><p><span><span>React (Event Management Frontend, Lobby Frontend, IRL Frontend, Jobseeker Frontend)</span></span><br></p><br></li><li><p><span><span>Kafka (Event Management Backend)</span></span><br></p><br></li><li><p><span><span>GraphQL (Event Management Backend, Lobby Backend)</span></span><br></p><br></li><li><p><span><span>SQL or MongoDB (Event Management Backend, Lobby Backend)</span></span><br></p><br></li><li><p><span><span>Build and deployment experience</span></span><br></p><br></li><li><p><span><span>Senior-level engineer capable of ramping up quickly and assuming ownership over multiple projects</span></span><br></p><br></li><li><p><span><span>High level of ownership and autonomy</span></span><br></p><br></li><li><p><span><span>Experience with at least one of the following: Dagster, Data Lakes, or Amazon Athena</span></span><br></p><br></li></ul><p><span><span><span><span><b><span><span>Nice to Have</span></span></b><br></span></span></span></span></p><br><ul><li><p><span><span>Product Manager experience working with GTM teams and engineers to help with prioritization</span></span><br></p><br></li><li><p><span><span>Experience with AI-assisted development tools: Claude, Cursor, Windsurf</span></span><br></p><br></li></ul><p><span><span><span><span><b><span><span>Soft Skills Required</span></span></b><br></span></span></span></span></p><br><ul><li><p><span><span>Work independently and autonomously</span></span><br></p><br></li><li><p><span><span>Take initiative rather than waiting for instructions; own merging and deploying code without "hand holding"</span></span><br></p><br></li><li><p><span><span>Leadership and shepherding – ability to lead, shepherd, and onboard other engineers</span></span><br></p><br></li><li><p><span><span>Clear and concise communication</span></span><br></p><br></li><li><p><span><span>Handle ambiguity</span></span><br></p><br></li><li><p><span><span>Prioritization and strategic thinking</span></span><br></p><br></li><li><p><span><span>Use data to troubleshoot production issues</span></span><br></p><br></li></ul><p><span><span><span><span><b><span><span>Note:</span></span></b><span><span>Technical leadership experience, ability to manage ambiguity, and experience overseeing or coordinating work of others are required. Senior engineer experience alone is not sufficient for the Tech Lead role.</span></span><br></span></span></span></span></p><br><span></span><br><br><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves While each project involves unique tasks, contributors may: Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers.<br> What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects.<br> Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation.<br> MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.<br>g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $39 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>
<p>POSITION SUMMARY Answer patients' questions and determine how to assist them. Record patient symptoms, medical information, and changes in condition. Make referrals if necessary. Measure and record patients' vital signs. Recommend and implement patient care plans and interventions based on assessment of patient conditions. Administer medications or start intravenous fluids and note times and amounts. Provide basic patient care and treatments, such as taking temperatures/blood pressures, cleaning/dressing wounds, massaging muscles, or delivering hot/cold applications. Administer emergency treatment for injuries/illnesses; arrange medical care if necessary. Inform employer/employees of health problems to minimize or eliminate potential illness risks. Record, store, and maintain guests' assessment and counseling information. Maintain up-to-date knowledge of professional area, seek additional information when presented with unfamiliar situations; participate in ongoing professional development. Follow all company policies and procedures; report accidents, injuries, and unsafe work conditions to manager; use proper equipment; wear appropriate personal protective clothing. Maintain confidentiality of proprietary information; protect company assets. Anticipate and address guests service needs. Discuss work topics discreetly and quietly; speak with others using clear and professional language. Ensure employee compliance with company standards/policies and external regulations. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Comply with quality assurance expectations and standards. Grasp, turn, and manipulate objects of varying size and weight, requiring fine motor skills and hand-eye coordination. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.</p><p><strong>Desired Candidate Profile</strong></p><p>Education: Bachelor's degree from accredited university or college. Related Work Experience: At least 3 years of related work experience. Supervisory Experience: No supervisory experience. REQUIRED QUALIFICATIONS License or Certification: Professional licensure as Registered Nurse in state of practice.</p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in electrical engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in electrical engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>The data platform technology architect leads the architecture, design, and evolution of the government's core data platforms — ensuring scalable, secure, and interoperable solutions. You will enable seamless data exchange and integration across government entities and oversee data ingestion, storage, APIs, master data management, and advanced analytics capabilities, all in alignment with government-wide strategy and policy.</p>
<ul>
<li><strong>Define and own the end-to-end architecture for core data platforms</strong> — ensuring scalability, performance, and security.</li>
<li><strong>Advise on technology selection, solution architecture, and platform harmonization</strong> for optimal, future-proof, cost-effective deployments aligned to government-wide data strategy.</li>
<li><strong>Lead architecture and oversight of a complex ecosystem of data platforms</strong> — ensuring interoperability, consistency, and alignment across multiple vendors and technologies.</li>
<li><strong>Design and govern the data sharing platform</strong>, enabling secure, standardized data flows across entities.</li>
<li><strong>Oversee implementation and evolution of platform components</strong> for sharing, provisioning, and performance measurement.</li>
<li><strong>Guide design and implementation of entity-level data solutions:</strong> ingestion, storage (lakes/warehouses), catalogues, master data management, integration layers, and analytics.</li>
<li><strong>Ensure interoperability across entities</strong> through standardized data exchange, APIs, and integration patterns.</li>
<li><strong>Oversee platform lifecycle management</strong> — setup, operations, upgrades, migrations, and decommissioning of legacy platforms.</li>
<li><strong>Engage stakeholders</strong> to align the platform roadmap with strategic priorities and evolving data use cases.</li>
<li><strong>Collaborate with engineering teams and vendors</strong> to ensure high-quality platform delivery and deployment.</li>
<li><strong>Drive platform adoption and value realization</strong> through enablement and use case activation.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor's or master's in computer science, data engineering, or related field.</li>
<li>20+ years in technology architecture — including designing and deploying large-scale data platforms in multinational or multi-entity environments (preferably with exposure in Europe or North America).</li>
<li>Proven hands-on experience architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems across entities.</li>
<li>Strong expertise across modern data platforms and technologies — e.g., Azure, Databricks, Snowflake, Informatica, Microsoft Purview, Palantir Foundry, or similar.</li>
<li>Demonstrated ability to assess, select, and harmonize technologies across diverse vendors.</li>
<li>Government or large-scale enterprise ecosystem experience strongly preferred.</li>
<li>Excellent English communication; Arabic a plus.</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>The data platform technology architect leads the architecture, design, and evolution of the government's core data platforms — ensuring scalable, secure, and interoperable solutions. You will enable seamless data exchange and integration across government entities and oversee data ingestion, storage, APIs, master data management, and advanced analytics capabilities, all in alignment with government-wide strategy and policy.</p>
<ul>
<li><strong>Define and own the end-to-end architecture for core data platforms</strong> — ensuring scalability, performance, and security.</li>
<li><strong>Advise on technology selection, solution architecture, and platform harmonization</strong> for optimal, future-proof, cost-effective deployments aligned to government-wide data strategy.</li>
<li><strong>Lead architecture and oversight of a complex ecosystem of data platforms</strong> — ensuring interoperability, consistency, and alignment across multiple vendors and technologies.</li>
<li><strong>Design and govern the data sharing platform</strong>, enabling secure, standardized data flows across entities.</li>
<li><strong>Oversee implementation and evolution of platform components</strong> for sharing, provisioning, and performance measurement.</li>
<li><strong>Guide design and implementation of entity-level data solutions:</strong> ingestion, storage (lakes/warehouses), catalogues, master data management, integration layers, and analytics.</li>
<li><strong>Ensure interoperability across entities</strong> through standardized data exchange, APIs, and integration patterns.</li>
<li><strong>Oversee platform lifecycle management</strong> — setup, operations, upgrades, migrations, and decommissioning of legacy platforms.</li>
<li><strong>Engage stakeholders</strong> to align the platform roadmap with strategic priorities and evolving data use cases.</li>
<li><strong>Collaborate with engineering teams and vendors</strong> to ensure high-quality platform delivery and deployment.</li>
<li><strong>Drive platform adoption and value realization</strong> through enablement and use case activation.</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor's or master's in computer science, data engineering, or related field.</li>
<li>20+ years in technology architecture — including designing and deploying large-scale data platforms in multinational or multi-entity environments (preferably with exposure in Europe or North America).</li>
<li>Proven hands-on experience architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems across entities.</li>
<li>Strong expertise across modern data platforms and technologies — e.g., Azure, Databricks, Snowflake, Informatica, Microsoft Purview, Palantir Foundry, or similar.</li>
<li>Demonstrated ability to assess, select, and harmonize technologies across diverse vendors.</li>
<li>Government or large-scale enterprise ecosystem experience strongly preferred.</li>
<li>Excellent English communication; Arabic a plus.</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in electrical engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in electrical engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Electrical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply – Pass qualification(s) – Join a project – Complete tasks – Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Electrical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply – Pass qualification(s) – Join a project – Complete tasks – Get paid</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>
<p><h4>Description</h4>
<p>Please submit your CV in English and indicate your level of English proficiency.</p>
<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p>
<h4>What this opportunity involves</h4>
<p>While each project involves unique tasks, contributors may:</p>
<ul>
<li>Design original computational engineering problems that simulate real engineering workflows;</li>
<li>Create problems requiring Python programming to solve engineering calculations and simulations;</li>
<li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li>
<li>Develop problems involving system design, optimization, and analysis;</li>
<li>Base problems on real research challenges or practical applications from engineering practice;</li>
<li>Verify solutions using Python with standard engineering libraries;</li>
<li>Document problem statements clearly and provide verified correct answers.</li>
</ul>
<h4>What we look for</h4>
<p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p>
<ul>
<li>Degree in Mechanical Engineering or related fields;</li>
<li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li>
<li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li>
<li>Understanding of practical engineering constraints and approximations;</li>
<li>Strong written English (C1+);</li>
<li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li>
</ul>
<h4>How it works</h4>
<p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p>
<h4>Project time expectations</h4>
<p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p>
<h4>Compensation</h4>
<p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p>
<p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>