3d Printing Jobs in Jordan

<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 statistics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical 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 statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in statistics 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>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 $39 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 front-end developer (associate) is responsible for building and maintaining user-facing features across web and mobile applications. The role focuses on developing responsive interfaces using React.js and React Native, collaborating with cross-functional teams, and contributing to the full application lifecycle. The developer will support UI implementation, bug fixing, performance optimization, and integration with backend services.</p> <h4>Key responsibilities:</h4> <ul> <li>Contribute to the development and maintenance of web and mobile applications.</li> <li>Develop responsive and user-friendly interfaces using React.js.</li> <li>Build and enhance mobile features using React Native (iOS & Android).</li> <li>Collaborate with UI/UX designers to translate designs into functional interfaces.</li> <li>Maintain and improve existing applications and features.</li> <li>Troubleshoot and fix bugs identified by QA or monitoring tools.</li> <li>Improve application performance, speed, and usability.</li> <li>Support integration with RESTful APIs and backend services.</li> <li>Write clean, reusable, and well-documented code.</li> <li>Participate in code reviews and apply feedback from senior team members.</li> <li>Work within Agile/Scrum teams and contribute to sprint activities.</li> <li>Collaborate with developers, designers, and product teams to deliver solutions.</li> <li>Assist in preparing technical documentation and implementation guides.</li> <li>Ensure high-quality UI standards and consistency across platforms.</li> <li>Learn and adopt best practices in frontend development.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, software engineering, or a related field.</li> <li>1-2 years of experience in front-end web development or relevant internships.</li> <li>Basic understanding of web and mobile application development lifecycle.</li> </ul> <h4>Preferred skills</h4> <ul> <li>Basic understanding of web and mobile application development lifecycle.</li> <li>Proficiency in HTML5, CSS3, and JavaScript (ES6+).</li> <li>Basic knowledge of React.js and component-based architecture.</li> <li>Familiarity with React Native for mobile app development.</li> <li>Understanding of RESTful APIs integration.</li> <li>Basic knowledge of Git version control.</li> <li>Familiarity with responsive design and cross-browser compatibility.</li> <li>Exposure to state management tools (e.g., Redux) is a plus.</li> <li>Basic knowledge of TypeScript is a plus.</li> <li>Familiarity with testing tools (e.g., Jest) is a plus.</li> <li>Understanding of Angular is considered a plus for future needs (secondary skill).</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The front-end developer (associate) is responsible for building and maintaining user-facing features across web and mobile applications. The role focuses on developing responsive interfaces using React.js and React Native, collaborating with cross-functional teams, and contributing to the full application lifecycle. The developer will support UI implementation, bug fixing, performance optimization, and integration with backend services.</p> <h4>Key responsibilities:</h4> <ul> <li>Contribute to the development and maintenance of web and mobile applications.</li> <li>Develop responsive and user-friendly interfaces using React.js.</li> <li>Build and enhance mobile features using React Native (iOS & Android).</li> <li>Collaborate with UI/UX designers to translate designs into functional interfaces.</li> <li>Maintain and improve existing applications and features.</li> <li>Troubleshoot and fix bugs identified by QA or monitoring tools.</li> <li>Improve application performance, speed, and usability.</li> <li>Support integration with RESTful APIs and backend services.</li> <li>Write clean, reusable, and well-documented code.</li> <li>Participate in code reviews and apply feedback from senior team members.</li> <li>Work within Agile/Scrum teams and contribute to sprint activities.</li> <li>Collaborate with developers, designers, and product teams to deliver solutions.</li> <li>Assist in preparing technical documentation and implementation guides.</li> <li>Ensure high-quality UI standards and consistency across platforms.</li> <li>Learn and adopt best practices in frontend development.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's degree in computer science, software engineering, or a related field.</li> <li>1-2 years of experience in front-end web development or relevant internships.</li> <li>Basic understanding of web and mobile application development lifecycle.</li> </ul> <h4>Preferred skills</h4> <ul> <li>Basic understanding of web and mobile application development lifecycle.</li> <li>Proficiency in HTML5, CSS3, and JavaScript (ES6+).</li> <li>Basic knowledge of React.js and component-based architecture.</li> <li>Familiarity with React Native for mobile app development.</li> <li>Understanding of RESTful APIs integration.</li> <li>Basic knowledge of Git version control.</li> <li>Familiarity with responsive design and cross-browser compatibility.</li> <li>Exposure to state management tools (e.g., Redux) is a plus.</li> <li>Basic knowledge of TypeScript is a plus.</li> <li>Familiarity with testing tools (e.g., Jest) is a plus.</li> <li>Understanding of Angular is considered a plus for future needs (secondary skill).</li> </ul></p><p></p>

<p><h4>Role overview</h4> <p>As an associate publishing manager at Tamatem, you will own the publishing strategy and execution for a live title or support an existing manager. This role sits at the intersection of marketing, community, and product, ensuring our games resonate with players, reach the right audiences, and achieve strong commercial performance.</p> <p>You will take responsibility for day-to-day publishing operations, go-to-market planning, and player engagement, working cross-functionally to ensure campaigns, liveops, and content align with both player needs and company goals.</p> <h4>Key responsibilities</h4> <li>Game launch & go-to-market</li> <p>Drive go-to-market strategies for assigned titles, ensuring campaigns are localized, creative, and aligned with target player groups.</p> <li>Publishing operations</li> <p>Own day-to-day publishing execution (liveops calendars, event launches, campaign tracking).</p> <p>Collaborate with external product managers or developers to ensure publishing plans complement in-game features and updates.</p> <li>Community & player insights</li> <p>Work with community managers to engage players and gather, structure, and surface player feedback.</p> <p>Translate player insights into actionable publishing strategies.</p> <li>Market & commercial awareness</li> <p>Monitor competitor launches and market trends in the MENA region.</p> <p>Benchmark features, pricing, and market trends.</p> <p>Support revenue optimization through pricing, promotions, and offer design.</p> <li>Cross-functional collaboration</li> <p>Align with user acquisition, creative, localization, and product teams to deliver cohesive campaigns.</p> <p>Act as a point of contact between internal teams and external partners where applicable.</p> <h4>Requirements</h4> <li>2–4 years of experience in game publishing, product marketing, or related roles.</li> <li>Experience executing marketing or publishing campaigns for digital products, preferably mobile games.</li> <li>Strong understanding of player behavior, market trends, and community dynamics in MENA.</li> <li>Solid project management skills: ability to coordinate across multiple stakeholders and deliver on deadlines. Someone who gets things done.</li> <li>Bilingual in Arabic and English.</li> <h4>Core competencies</h4> <li>Owns features or publishing areas within a product.</li> <li>Collaborates across teams to shape publishing strategy and create marketing plans.</li> <li>Analytical mindset; ability to track KPIs and adjust strategies based on data.</li> <li>Takes initiative in driving go-to-market execution with measurable impact.</li> <li>Builds solid understanding of game market performance and player needs.</li></p><p></p>

<p><h4>Role overview</h4> <p>As an associate publishing manager at Tamatem, you will own the publishing strategy and execution for a live title or support an existing manager. This role sits at the intersection of marketing, community, and product, ensuring our games resonate with players, reach the right audiences, and achieve strong commercial performance.</p> <p>You will take responsibility for day-to-day publishing operations, go-to-market planning, and player engagement, working cross-functionally to ensure campaigns, liveops, and content align with both player needs and company goals.</p> <h4>Key responsibilities</h4> <li>Game launch & go-to-market</li> <p>Drive go-to-market strategies for assigned titles, ensuring campaigns are localized, creative, and aligned with target player groups.</p> <li>Publishing operations</li> <p>Own day-to-day publishing execution (liveops calendars, event launches, campaign tracking).</p> <p>Collaborate with external product managers or developers to ensure publishing plans complement in-game features and updates.</p> <li>Community & player insights</li> <p>Work with community managers to engage players and gather, structure, and surface player feedback.</p> <p>Translate player insights into actionable publishing strategies.</p> <li>Market & commercial awareness</li> <p>Monitor competitor launches and market trends in the MENA region.</p> <p>Benchmark features, pricing, and market trends.</p> <p>Support revenue optimization through pricing, promotions, and offer design.</p> <li>Cross-functional collaboration</li> <p>Align with user acquisition, creative, localization, and product teams to deliver cohesive campaigns.</p> <p>Act as a point of contact between internal teams and external partners where applicable.</p> <h4>Requirements</h4> <li>2–4 years of experience in game publishing, product marketing, or related roles.</li> <li>Experience executing marketing or publishing campaigns for digital products, preferably mobile games.</li> <li>Strong understanding of player behavior, market trends, and community dynamics in MENA.</li> <li>Solid project management skills: ability to coordinate across multiple stakeholders and deliver on deadlines. Someone who gets things done.</li> <li>Bilingual in Arabic and English.</li> <h4>Core competencies</h4> <li>Owns features or publishing areas within a product.</li> <li>Collaborates across teams to shape publishing strategy and create marketing plans.</li> <li>Analytical mindset; ability to track KPIs and adjust strategies based on data.</li> <li>Takes initiative in driving go-to-market execution with measurable impact.</li> <li>Builds solid understanding of game market performance and player needs.</li></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 statistics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical 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 statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in statistics 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>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 $39 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 statistics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical 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 statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in statistics 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>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 $39 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 statistics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical 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 statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in statistics 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>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 $39 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 statistics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical 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 statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in statistics 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>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 $39 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 statistics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical 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 statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in statistics 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>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 $39 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 statistics problems that simulate real mathematical research workflows;</li> <li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);</li> <li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);</li> <li>Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;</li> <li>Base problems on real research challenges or practical applications from mathematical practice;</li> <li>Verify solutions using Python with standard mathematical 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 statistics specialists with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in statistics 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>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 $39 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>Finance Transformation Associate Manager</span></strong></p><br> <p><span>PMO-Oriented | Full Finance Domain Expertise</span></p><br> <p><strong><span>Department</span></strong></p><br> <p><strong><span>Finance Transformation</span></strong></p><br> <p><strong><span>Reports To</span></strong></p><br> <p><span>Ass. Dir Finance transfomation</span></p><br> <p><strong><span>Location</span></strong></p><br> <p><strong><span>AMMAN</span></strong></p><br> <p><strong><span>Employment</span></strong></p><br> <p><strong><span>Full-Time</span></strong></p><br> <br> <p><strong><span>Role Overview</span></strong></p><br> <br> <p>We are seeking a highly experienced Finance Transformation Associate Manager with a strong PMO orientation to lead and orchestrate complex, multi-workstream finance modernization initiatives across the enterprise. This role combines deep functional knowledge across the full spectrum of finance domains with structured program management discipline to drive measurable outcomes in process optimization, technology enablement, and operating model redesign.</p><br> <p>The ideal candidate will act as the central orchestrator between finance leadership, IT, external partners, and business stakeholders, ensuring that transformation programs are delivered on time, within budget, and in alignment with strategic objectives.</p><br> <p><strong><span>Key Responsibilities</span></strong></p><br> <br> <p><strong><span>Program &amp; Project Management (PMO)</span></strong></p><br> <ul> <li>Lead end-to-end planning, execution, and governance of finance transformation programs, including milestone tracking, dependency management, risk mitigation, and steering committee reporting</li> <li>Establish and maintain PMO frameworks, templates, dashboards, and logs to ensure transparency and accountability across all workstreams</li> <li>Manage cross-functional project teams, including internal resources, system integrators, and third-party vendors</li> <li>Drive stage-gate governance and ensure alignment with enterprise portfolio management standards</li> <li>Prepare and present executive-level status reports, business cases, and investment proposals</li> </ul> <p><strong><span>Finance Domain Leadership</span></strong></p><br> <ul> <li>Serve as the subject matter expert across all core finance functions: Procure-to-Pay (P2P), Order-to-Cash (O2C), Record-to-Report (R2R), Financial Planning &amp; Analysis (FP&amp;A), Treasury &amp; Cash Management, Tax, and Internal Controls</li> <li>Lead process assessment, gap analysis, and future-state design for finance operations, leveraging industry best practices and benchmarking data</li> <li>Define and prioritize transformation use cases across finance, mapping them to technology enablers such as ERP modernization, RPA, AI/ML, and advanced analytics</li> <li>Champion the adoption of shared services, Centers of Excellence, and global process ownership models</li> </ul> <p><strong><span>Technology &amp; Systems Enablement</span></strong></p><br> <ul> <li>Partner with IT and solution architects to evaluate, select, and implement finance technology platforms</li> <li>Oversee system integration efforts, data migration strategies, and UAT cycles for finance modules</li> <li>Drive the finance AI and automation roadmap, including intelligent document processing, predictive analytics, and agentic finance workflows</li> </ul> <p><strong><span>Change Management &amp; Stakeholder Engagement</span></strong></p><br> <ul> <li>Design and execute change management strategies to ensure adoption of new processes, tools, and ways of working across finance teams globally</li> <li>Facilitate workshops, training sessions, and communication plans tailored to diverse stakeholder groups</li> <li>Build trusted relationships with senior finance leaders, regional controllers, and business unit heads</li> </ul> <p><strong><span>Required Qualifications</span></strong></p><br> <ul> <li>Bachelor’s degree in Finance, Accounting, Business Administration, or related field; MBA or Master’s degree strongly preferred</li> <li>10+ years of progressive experience in finance transformation, finance operations, or management consulting with a Big 4 or top-tier firm</li> <li>Demonstrated expertise across multiple finance domains: P2P, O2C, R2R, FP&amp;A, Treasury, Tax, and Internal Controls</li> <li>5+ years of hands-on project/program management experience,</li> <li>Proven track record of delivering large-scale, multi-region finance transformation programs</li> <li>Strong experience with enterprise finance platforms: SAP</li> <li>Excellent command of PMO tools and methodologies: MS Project, Smartsheet, or equivalent</li> <li>Exceptional communication, presentation, and executive stakeholder management skills</li> </ul> <p><strong><span>Preferred Qualifications</span></strong></p><br> <ul> <li>Experience in the pharmaceutical, life sciences, or regulated industry sectors</li> <li>Exposure to AI/ML applications in finance (e.g., intelligent automation, NLP-based document processing, predictive forecasting)</li> <li>CPA, CMA, ACCA, or equivalent</li> <li>Multilingual capability</li> </ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Purpose Support the execution of the Bank’s innovation strategy by leading the development, implementation, and delivery of innovation initiatives that enhance digital banking services, improve customer experience, and drive operational efficiency.<br> The role is responsible for managing the innovation pipeline, coordinating cross-functional initiatives, conducting market and customer research, and fostering a culture of innovation across the Bank.<br> Key Responsibilities Leadership &amp; People Management Define the Unit’s objectives and KPIs in alignment with the Department’s strategy.<br> Lead, coach, develop, and evaluate Innovation Unit employees to ensure high performance and continuous professional development.<br> Monitor attendance, approve leave, allocate resources, and ensure the effective delivery of the Unit’s responsibilities.<br> Promote collaboration, creativity, accountability, and continuous improvement within the team.<br> Innovation Delivery Manage the end-to-end execution of innovation initiatives from ideation through implementation and post-launch evaluation.<br> Coordinate the development of innovative digital products, services, and customer journeys across the Bank’s electronic channels.<br> Support the implementation of digital transformation initiatives by identifying opportunities to simplify banking processes and improve customer experience.<br> Monitor innovation initiatives to ensure delivery within agreed scope, timelines, quality standards, and budget.<br> Market Research &amp; Innovation Development Conduct market research, competitor benchmarking, customer analysis, and technology assessments to identify innovation opportunities.<br> Monitor global trends in digital banking, fintech, artificial intelligence, open banking, automation, and emerging technologies.<br> Prepare business cases, feasibility studies, and recommendations for new innovation initiatives.<br> Evaluate customer feedback and business requirements to recommend enhancements to digital products and services.<br> Cross-Functional Collaboration Coordinate with Retail Banking, Digital Banking, IT, Operations, Risk, Compliance, Marketing, and other business units to successfully deliver innovation initiatives.<br> Facilitate workshops and working sessions to identify, evaluate, and prioritize innovation opportunities.<br> Support the implementation of customer-centric solutions that improve service quality and operational efficiency.<br> Partnership Management Coordinate with fintech companies, technology providers, and external partners during the implementation of innovation initiatives.<br> Support the evaluation of new technologies and partnership opportunities to enhance the Bank’s innovation capabilities.<br> Monitor vendor performance and ensure successful delivery of agreed innovation outcomes.<br> Innovation Governance &amp; Reporting Maintain the innovation pipeline and monitor the progress of innovation initiatives.<br> Prepare periodic management reports, dashboards, and presentations highlighting project status, KPIs, risks, achievements, and business impact.<br> Ensure innovation initiatives comply with internal policies, regulatory requirements, information security standards, and governance frameworks.<br> Identify project risks and recommend mitigation plans.<br> Innovation Culture Support employee innovation programs, ideation campaigns, and innovation awareness initiatives across the Bank.<br> Promote knowledge sharing and innovation best practices across business units.<br> Encourage continuous learning and adoption of emerging technologies.<br> Business Continuity Serve as a Primary or Alternate member of the Bank’s Business Continuity Plan (BCP) and officially established emergency response teams, carrying out assigned responsibilities to minimize business disruption during crises.<br> Qualifications Bachelor’s degree in Business Administration, Information Technology, Computer Science, Engineering, or a related field.<br> Professional certifications in Innovation Management, Digital Transformation, Agile, Product Management, Design Thinking, or Project Management are considered an advantage.<br> Experience Minimum of 8 years of relevant experience in Digital Banking, Innovation, Electronic Banking, Product Management, Digital Transformation, or related fields.<br> Experience managing cross-functional projects and delivering digital initiatives within the banking sector.<br> Skills &amp; Competencies Innovation and Design Thinking Digital Banking Knowledge Product and Service Development Project and Portfolio Coordination Business Analysis and Problem Solving Market Research and Competitive Analysis Customer Experience (CX) Awareness Stakeholder Management Vendor and Partnership Coordination Strong Communication and Presentation Skills Planning and Organizational Skills Analytical and Decision-Making Skills Knowledge of Banking Products, Services, and Regulatory Requirements Proficiency in Microsoft Office and the Bank’s operating systems Ability to work effectively under pressure and manage multiple priorities</span> </div>

<p><h4>Description</h4> <p>The Senior Microsoft Presales Engineer is responsible for driving customer engagement, solution positioning, and technical presales activities across Microsoft Infrastructure, Security, Modern Workplace, and Cloud solutions. The role acts as a trusted technical advisor to enterprise customers, supporting digital transformation initiatives through consultative solution design, technical workshops, demonstrations, and strategic customer engagements.</p> <p>Working closely with Account Managers, Architects, Product teams, and Microsoft stakeholders, the engineer plays a key role in identifying customer requirements, positioning Microsoft technologies, developing technical proposals, and supporting pipeline growth across the region. The role combines deep Microsoft technical expertise with strong customer-facing, presentation, and solution-selling capabilities.</p> <h4>Responsibilities:</h4> <h4>Customer Engagement & Solution Consulting</h4> <ul> <li>Engage with customers to understand: business challenges, security and infrastructure requirements, digital transformation objectives, and existing technology environments</li> <li>Conduct assessments of customer infrastructure, cloud, and security landscapes</li> <li>Support customers in defining technical requirements and contributing to: RFP responses, RFI documentation and technical solution requirements</li> <li>Act as a trusted advisor throughout the customer engagement lifecycle</li> </ul> <h4>Solution Positioning & Technical Presales</h4> <ul> <li>Position Microsoft solutions as best-in-class offerings by articulating: business value, competitive advantages, technical capabilities and security and operational benefits</li> <li>Demonstrate Microsoft solution advantages over competitive technologies and existing customer environments</li> <li>Support customers throughout technical evaluations and decision-making processes</li> <li>Prepare technical proposals, solution presentations, architecture recommendations and technical response documentation</li> </ul> <h4>Microsoft Security, Cloud & Infrastructure Solutions</h4> <ul> <li>Design and position solutions across: Microsoft 365 E3 & E5, Microsoft Security & Compliance solutions, Microsoft Defender Suite, Microsoft Sentinel (SIEM), Azure Active Directory (SSO, MFA, Identity Security), Microsoft Purview and Data Protection solutions, Intune and Endpoint Management, Azure Infrastructure, Backup, DR, and Migration services, Hybrid and on-premise Microsoft infrastructure solutions</li> <li>Support Azure sizing, migration, and modernization discussions with enterprise customers</li> <li>Maintain strong awareness of Microsoft cloud, infrastructure, and security best practices</li> </ul> <h4>Workshops, Demonstrations & Technical Presentations</h4> <ul> <li>Lead customer workshops, technical demonstrations, solution presentations and executive briefings</li> <li>Deliver tailored presentations addressing customer-specific business and technical challenges</li> <li>Educate customers on Microsoft cloud, infrastructure, and cybersecurity capabilities</li> <li>Support customer enablement and awareness initiatives across Microsoft technologies</li> </ul> <h4>Pipeline Development & Sales Support</h4> <ul> <li>Contribute to pipeline generation and opportunity development activities as part of the presales organization</li> <li>Support opportunity qualification, technical validation, and deal progression across strategic customer engagements</li> <li>Collaborate closely with sales and account management teams to align technical and commercial strategies</li> <li>Maintain visibility on opportunity progression and customer engagement activities</li> </ul> <h4>Cross-Functional Collaboration</h4> <ul> <li>Work closely with Account Managers, Technical Architects, Product teams, Delivery teams and Microsoft stakeholders</li> <li>Support successful transition from presales to delivery and implementation phases</li> <li>Collaborate with customer IT and security teams to ensure solution alignment and technical readiness</li> </ul> <h4>Requirements</h4> <ul> <li>8+ years of experience in Microsoft solution sales, technical presales, cloud and infrastructure consulting, enterprise ICT environments</li> <li>Strong expertise across Microsoft Cloud, Security, Productivity, Infrastructure solutions</li> <li>Strong understanding of enterprise security principles, cloud migration and modernization, identity and access management, data protection and compliance solutions</li> <li>Experience supporting enterprise and strategic customer engagements</li> <li>Familiarity with non-Microsoft security technologies such as VMware, Trend Micro EPP/EDR, Forcepoint DLP is highly desirable</li> <li>Bachelor’s degree in Computer Science, Information Technology, Engineering or a related technical field</li> <li>Microsoft cloud and security certifications are an advantage</li> </ul></p><p></p>

<p><h4>Description</h4> <p>The Senior Microsoft Presales Engineer is responsible for driving customer engagement, solution positioning, and technical presales activities across Microsoft Infrastructure, Security, Modern Workplace, and Cloud solutions. The role acts as a trusted technical advisor to enterprise customers, supporting digital transformation initiatives through consultative solution design, technical workshops, demonstrations, and strategic customer engagements.</p> <p>Working closely with Account Managers, Architects, Product teams, and Microsoft stakeholders, the engineer plays a key role in identifying customer requirements, positioning Microsoft technologies, developing technical proposals, and supporting pipeline growth across the region. The role combines deep Microsoft technical expertise with strong customer-facing, presentation, and solution-selling capabilities.</p> <h4>Responsibilities:</h4> <h4>Customer Engagement & Solution Consulting</h4> <ul> <li>Engage with customers to understand: business challenges, security and infrastructure requirements, digital transformation objectives, and existing technology environments</li> <li>Conduct assessments of customer infrastructure, cloud, and security landscapes</li> <li>Support customers in defining technical requirements and contributing to: RFP responses, RFI documentation and technical solution requirements</li> <li>Act as a trusted advisor throughout the customer engagement lifecycle</li> </ul> <h4>Solution Positioning & Technical Presales</h4> <ul> <li>Position Microsoft solutions as best-in-class offerings by articulating: business value, competitive advantages, technical capabilities and security and operational benefits</li> <li>Demonstrate Microsoft solution advantages over competitive technologies and existing customer environments</li> <li>Support customers throughout technical evaluations and decision-making processes</li> <li>Prepare technical proposals, solution presentations, architecture recommendations and technical response documentation</li> </ul> <h4>Microsoft Security, Cloud & Infrastructure Solutions</h4> <ul> <li>Design and position solutions across: Microsoft 365 E3 & E5, Microsoft Security & Compliance solutions, Microsoft Defender Suite, Microsoft Sentinel (SIEM), Azure Active Directory (SSO, MFA, Identity Security), Microsoft Purview and Data Protection solutions, Intune and Endpoint Management, Azure Infrastructure, Backup, DR, and Migration services, Hybrid and on-premise Microsoft infrastructure solutions</li> <li>Support Azure sizing, migration, and modernization discussions with enterprise customers</li> <li>Maintain strong awareness of Microsoft cloud, infrastructure, and security best practices</li> </ul> <h4>Workshops, Demonstrations & Technical Presentations</h4> <ul> <li>Lead customer workshops, technical demonstrations, solution presentations and executive briefings</li> <li>Deliver tailored presentations addressing customer-specific business and technical challenges</li> <li>Educate customers on Microsoft cloud, infrastructure, and cybersecurity capabilities</li> <li>Support customer enablement and awareness initiatives across Microsoft technologies</li> </ul> <h4>Pipeline Development & Sales Support</h4> <ul> <li>Contribute to pipeline generation and opportunity development activities as part of the presales organization</li> <li>Support opportunity qualification, technical validation, and deal progression across strategic customer engagements</li> <li>Collaborate closely with sales and account management teams to align technical and commercial strategies</li> <li>Maintain visibility on opportunity progression and customer engagement activities</li> </ul> <h4>Cross-Functional Collaboration</h4> <ul> <li>Work closely with Account Managers, Technical Architects, Product teams, Delivery teams and Microsoft stakeholders</li> <li>Support successful transition from presales to delivery and implementation phases</li> <li>Collaborate with customer IT and security teams to ensure solution alignment and technical readiness</li> </ul> <h4>Requirements</h4> <ul> <li>8+ years of experience in Microsoft solution sales, technical presales, cloud and infrastructure consulting, enterprise ICT environments</li> <li>Strong expertise across Microsoft Cloud, Security, Productivity, Infrastructure solutions</li> <li>Strong understanding of enterprise security principles, cloud migration and modernization, identity and access management, data protection and compliance solutions</li> <li>Experience supporting enterprise and strategic customer engagements</li> <li>Familiarity with non-Microsoft security technologies such as VMware, Trend Micro EPP/EDR, Forcepoint DLP is highly desirable</li> <li>Bachelor’s degree in Computer Science, Information Technology, Engineering or a related technical field</li> <li>Microsoft cloud and security certifications are an advantage</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Overview</strong><br><p><span>KEO is a creative enterprise, where innovation is a way of life. We are uniquely resourced with end-to-end services to take clients from inspiration – through conceptualization – to realization of planning, design or project delivery in the built and natural environments. For over 60 years we’ve led with vision, contributing to many of the world’s most ambitious projects, iconic places, remarkable experiences and prosperous communities.</span><br><br><span>As a highly integrated and agile AEP/PMCM firm, KEO is recognized by ENR as one of the Top 225 International Design Firms and one of the Top 20 International PM/CM Firms. We are also ranked by World Architecture as the 51st largest global architecture firm and the #1 Firm in the Middle East Region in their 2024 WA100 Survey.</span><br><span>We invite you to join us. Why?</span><br><span>When you join KEO, you’ll discover more than just a job – you’ll find a supportive environment that fosters your professional development through internal global mobility and career development and does so within a culture that supports company-wide health and well-being through on-demand counselling services and regular workplace clinics. You will be invited to celebrate community events such as sports days, fun-runs, in-house sports teams and beach clean ups. In addition to your competitive package and benefits you will have access to a suite of policies that include hybrid working arrangements, individual athletic sponsorship, study assistance sponsorship, employee referral rewards.</span></p><br> <br><strong>Responsibilities</strong><br><p><span>Our newest opportunity is for a detail-oriented Business Analyst to join our HR team in <strong>Amman, Jordan</strong>. This role will be instrumental in transforming our recruitment data into meaningful insights that drive strategic hiring decisions. The successful candidate will work across multiple data sources including iCIMS ATS, Excel-based recruitment tracking systems, and various reporting tools to measure, analyze, and optimize our talent acquisition processes.</span></p><br><p><span><strong>Technical Skills</strong></span></p><br><ul><li><span>Data engineering &amp; SQL: Advanced SQL (joins, window functions, CTEs); ETL/ELT with orchestration/scheduling; data modelling; hands-on Python/.NET; incremental loads and data quality (validation/deduplication); idempotency</span></li><li><span>Reporting/BI: Power BI/Tableau (Power Query, semantic modelling, DAX, RLS); advanced Excel (pivots, XLOOKUP, Power Query)</span></li><li><span>API integrations: REST/OAuth 2.0; Postman; JSON with pagination/filtering; handle rate limits and retries; webhooks or scheduled CSV/SFTP; secrets management</span></li></ul><p><span><strong>Data Analysis &amp; Reporting</strong></span></p><br><ul><li><span>Extract, analyze, and synthesize recruitment data from iCIMS ATS, Recruitment Report (Excel), and Start Hire Report (Excel) to produce comprehensive weekly, monthly, and quarterly reports</span></li><li><span>Develop and maintain dashboards and visualizations that provide real-time insights into recruitment performance metrics</span></li><li><span>Identify data trends, patterns, and anomalies to support data-driven decision-making across the talent acquisition function</span></li><li><span>Create ad-hoc reports and analyses in response to stakeholder requests and business needs</span></li></ul><p><span><strong>Recruitment Metrics Management</strong></span></p><br><ul><li><span><strong>Time to Fill Analysis</strong>: Calculate and report time to fill metrics with statistical rigor.</span></li><li><span><strong>Time to Respond Tracking</strong>: Monitor and report on candidate response times establishing benchmarks and identifying bottlenecks in the screening and communication process</span></li><li><span><strong>Interview to Offer Ratios</strong>: Track conversion rates at each stage of the hiring funnel to identify optimization opportunities</span></li><li><span><strong>Candidate Experience Measurement</strong>: Analyze candidate experience survey data, correlating feedback scores with process metrics to identify areas for improvement in the candidate journey</span></li></ul><p><span><strong>Employee Retention Analysis</strong></span></p><br><ul><li><span>Produce comprehensive monthly employee retention reports analyzing turnover rates, tenure patterns, and attrition trends across departments, roles, and demographics</span></li><li><span>Calculate and track key retention metrics including voluntary vs. involuntary turnover, regrettable vs. non-regrettable attrition, and early-tenure turnover.</span></li><li><span>Identify high-risk cohorts and early warning indicators of potential turnover through data pattern analysis</span></li><li><span>Correlate retention data with recruitment metrics to assess quality of hire and identify potential improvements in the selection process</span></li><li><span>Provide actionable insights to leadership on retention challenges and opportunities, including cost-of-turnover analysis for key roles</span></li></ul><p><span><strong>Process Optimization &amp; Insights</strong></span></p><br><ul><li><span>Conduct root cause analysis on recruitment challenges such as extended time to fill, low offer acceptance rates, or poor candidate experience scores</span></li><li><span>Collaborate with recruitment team members and hiring managers to understand data context and validate findings</span></li><li><span>Develop forecasting models to predict hiring timelines and resource needs based on historical data</span></li><li><span>Benchmark internal metrics against industry standards and recommend best practices</span></li></ul><p><span><strong>Data Quality &amp; System Management</strong></span></p><br><ul><li><span>Ensure data integrity across all recruitment tracking systems, implement quality control processes and regular audits</span></li><li><span>Identify gaps in current data collection methods and recommend improvements to capture more meaningful insights</span></li><li><span>Work with stakeholders to standardize data entry processes and definitions across the recruitment team</span></li><li><span>Serve as the subject matter expert on recruitment data sources and reporting capabilities</span></li></ul><p><span><strong>Stakeholder Communication</strong></span></p><br><ul><li><span>Present findings and recommendations to talent acquisition leadership and business stakeholders in clear, actionable formats</span></li><li><span>Translate complex data analyses into compelling narratives that drive strategic decisions</span></li><li><span>Partner with recruitment team members to ensure they understand and can leverage available data and reports</span></li></ul> <br><strong>Qualifications</strong><br><p><span>To be successful in this dynamic opportunity, we envision that your career journey to date will include a minimum of 3 years of work experience in business, data or HR analytics partnered with a Bachelor degree in a relevant field such as Business Analytics, Data Science or Human Resources.</span></p><br><p><span>The candidate must have strong knowledge in Microsoft Excel (pivot tables, VLOOKUP/XLOOKUP, complex formulas, data visualization) and experience with data visualization tools (Power BI, Tableau, or similar).</span></p><br><p><span>KEO’s performance is founded upon integrity, results, innovation, safety, and our people. We embrace diversity and recognise its’ contribution to client success wherever we work.</span></p><br><p><span>We are excited to hear how you can partner with our award-winning team and treat all expressions of interest confidentially.</span></p><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> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>

<p><strong>Role mandate.</strong> Improve manufacturing productivity, capacity, cost, quality, workflow, and resource utilization through disciplined industrial-engineering analysis and practical shop-floor implementation.</p><p><strong>Job Purpose</strong> The Industrial Engineer analyzes production processes, work methods, labor utilization, equipment capacity, layouts, material flow, and operational data to identify and implement measurable improvements. The role applies industrial-engineering and lean methods to reduce waste and cycle time, improve line balance and output, strengthen standard work, and support safe, reliable, and cost-effective manufacturing operations.</p><p><strong>Key Responsibilities</strong></p><p><strong>Methods Engineering and Work Measurement</strong> Conduct time studies, motion studies, work sampling, process observation, and direct labor analysis using documented and repeatable methods. Develop and maintain standard times, labor standards, standard work, work instructions, process maps, and operating-method documentation. Identify unnecessary movement, waiting, transportation, handling, rework, duplication, and other non-value-added activities and recommend practical countermeasures. Validate proposed methods through shop-floor trials and confirm that improvements are safe, achievable, documented, trained, and sustained.</p><p><strong>Capacity, Line Balancing, and Resource Planning</strong> Measure and analyze process capacity, cycle time, takt time, bottlenecks, constraints, equipment loading, throughput, and utilization. Develop line-balancing and staffing recommendations that align labor and equipment resources with production requirements and approved service levels. Support short- and medium-term capacity planning, production planning, shift-pattern reviews, overtime analysis, and manpower requirements. Prepare capacity scenarios for volume changes, new products, process changes, equipment additions, or operational improvement initiatives</p><p><strong>Layout, Material Flow, and Workplace Design</strong> Analyze plant, line, workstation, warehouse, and support-area layouts to improve flow, accessibility, space utilization, safety, and communication. Map material, people, and information movement and recommend changes that reduce travel distance, congestion, excess inventory, handling, and delay. Support workstation and workplace design using ergonomic principles, standardized tools, point-of-use storage, visual controls, and 5S practices. Assist with layout and flow requirements for new equipment, production lines, expansions, transfers, and process modifications.</p><p><strong>Productivity and Continuous Improvement</strong> Lead or support improvement activities using 5S, Kaizen, value-stream mapping, PDCA, root cause analysis, visual management, mistake-proofing, and other appropriate lean methods. Analyze losses affecting output, efficiency, yield, quality, delivery, labor productivity, equipment performance, energy, scrap, waste, and rework. Build fact-based improvement cases, define expected benefits and implementation requirements, and track results against approved baselines. Work with Production, Maintenance, Quality, Supply Chain, Warehousing, HSE, Engineering, Finance, and HR to implement and sustain cross-functional improvements.</p><p><strong>Performance Data and Reporting</strong> Collect, validate, analyze, and report production and industrial-engineering data with clear definitions, sources, assumptions, and controls. Maintain dashboards and reports covering productivity, output, efficiency, utilization, cycle time, downtime, yield, waste, rework, labor hours, and improvement benefits. Investigate abnormal trends or data inconsistencies and coordinate corrective actions with the responsible operational teams. Present findings and recommendations clearly through charts, process maps, layouts, calculations, business cases, and concise management reports.</p><p><strong>Quality, Cost, Safety, and Standardization</strong> Support quality and cost-improvement initiatives by identifying the operational causes of defects, variation, loss, excess consumption, and inefficient resource use. Ensure proposed methods and layouts respect product-quality requirements, HSE controls, ergonomics, emergency access, and approved operating procedures. Document approved processes and controls, support operator and supervisor training, and verify adherence through observation and performance review. Participate in risk assessments, audits, incident or defect investigations, and corrective-action follow-up when industrial-engineering input is required.</p><p><br></p><p><strong>What you'll bring</strong></p><p><strong>Qualifications and Experience</strong></p><p><strong>Essential Requirements</strong> Bachelor's degree in Industrial Engineering from a recognized university. Two to three years of relevant industrial-engineering, process-improvement, production, or operations-excellence experience in a manufacturing or industrial environment. Practical exposure to time and motion studies, work measurement, standard work, capacity analysis, line balancing, process mapping, layout improvement, or manpower planning. Working knowledge of lean manufacturing and structured problem-solving methods. Strong analytical and spreadsheet capability, including the ability to organize, validate, analyze, and clearly present operational data. Ability to work regularly on the shop floor, engage supervisors and operators professionally, and convert analysis into practical implementation. Professional working proficiency in Arabic and English, including the preparation of reports, presentations, process documents, and training material.</p><p><strong>Preferred Profile</strong> Experience in a structured manufacturing environment with production lines, warehouses, utilities, quality systems, and cross-functional improvement teams. Training or certification in Lean, Six Sigma, continuous improvement, quality, project management, or occupational ergonomics. Experience with ERP, MES, OEE or production-monitoring systems and data-visualization tools such as Power BI. Proficiency with process-mapping, statistical, simulation, or layout tools such as Visio, Minitab, AutoCAD, or equivalent applications. Evidence of completed projects that improved productivity, capacity, quality, delivery, cost, space utilization, safety, or labor efficiency.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Industrial Engineering from a recognized university.</li><li>Two to three years of relevant industrial-engineering, process-improvement, production, or operations-excellence experience in a manufacturing or industrial environment.</li><li>Practical exposure to time and motion studies, work measurement, standard work, capacity analysis, line balancing, process mapping, layout improvement, or manpower planning.</li><li>Working knowledge of lean manufacturing and structured problem-solving methods.</li><li>Strong analytical and spreadsheet capability, including the ability to organize, validate, analyze, and clearly present operational data.</li><li>Ability to work regularly on the shop floor, engage supervisors and operators professionally, and convert analysis into practical implementation.</li><li>Professional working proficiency in Arabic and English, including the preparation of reports, presentations, process documents, and training material.</li><li>Experience in a structured manufacturing environment with production lines, warehouses, utilities, quality systems, and cross-functional improvement teams.</li><li>Training or certification in Lean, Six Sigma, continuous improvement, quality, project management, or occupational ergonomics.</li><li>Experience with ERP, MES, OEE or production-monitoring systems and data-visualization tools such as Power BI.</li><li>Proficiency with process-mapping, statistical, simulation, or layout tools such as Visio, Minitab, AutoCAD, or equivalent applications.</li><li>Evidence of completed projects that improved productivity, capacity, quality, delivery, cost, space utilization, safety, or labor efficiency.</li></ul>

<p>Scope of work&nbsp; The Business Analyst will serve as the primary link between healthcare stakeholders, the EMR vendor, and internal technical teams to ensure the successful delivery of the Electronic Medical Records (EMR) system. The role is responsible for eliciting, analyzing, documenting, and validating business, clinical, and functional requirements; conducting business process analysis and Fit-Gap assessments; developing functional specifications and other product documentation; and ensuring that proposed solutions align with UNRWA’s operational and clinical workflows. The Business Analyst will also support solution design, review system configurations, coordinate business validation activities, including System Integration Testing (SIT) and User Acceptance Testing (UAT), and facilitate the resolution of functional issues. Throughout the project lifecycle, the incumbent will work collaboratively with stakeholders to ensure that business needs are accurately translated into high-quality, user-centered digital health solutions that support UNRWA’s strategic objectives.&nbsp; Specific Outputs/Tasks include but not limited to: Key Responsibilities 5.1 Business and Technical Requirements • Engage healthcare professionals, business users, technical teams, and other stakeholders to elicit, analyze, validate, and document business, clinical, operational, and technical requirements. • Translate business and clinical requirements into functional specifications, system requirements, user stories, use cases, process flows, and acceptance criteria. • Ensure that requirements are clear, complete, feasible, testable, prioritized, and aligned with the EMR project objectives. • Maintain requirements traceability from initial identification through development, testing, acceptance, and implementation. • Analyze current clinical and administrative workflows and recommend improvements, standardization, and process optimization. • Identify and document functional gaps, dependencies, assumptions, constraints, and non-functional requirements, including performance, security, availability, usability, and interoperability. 2.2 Agile and Product Backlog Management • Support the Product Lead/Product Owner in establishing, maintaining, and prioritizing the EMR product backlog. • Develop and refine user stories, acceptance criteria, technical tasks, and backlog items in collaboration with business users, technical teams, and the vendor. • Ensure backlog items meet agreed readiness criteria before being included in a sprint. • Facilitate or support Agile/Scrum events, including backlog refinement, sprint planning, daily coordination meetings, sprint reviews, demonstrations, and retrospectives. • Monitor sprint commitments, deliverables, dependencies, impediments, and completion against agreed acceptance criteria. • Support the Product Lead in reviewing and accepting completed backlog items and identifying items requiring rework. • Ensure that sprint outcomes, decisions, action points, and lessons learned are properly documented and followed up. 2.3 System Development Lifecycle • Apply sound knowledge of the full system development lifecycle, including discovery, requirements analysis, solution design, development, integration, testing, deployment, stabilization, and post-implementation support. • Review solution designs and technical specifications to confirm alignment with approved business requirements. • Support change-control processes by assessing the business, technical, schedule, and resource implications of proposed changes. • Coordinate requirements clarification between stakeholders and the vendor throughout the development lifecycle. • Identify delivery risks, gaps, and inconsistencies at an early stage and escalate them to project management with recommended actions. 2.4 Vendor and Deliverables Management • Serve as a key coordination point between the EMR project team and the vendor for requirements, deliverables, testing, and implementation activities. • Review vendor deliverables against contractual requirements, approved specifications, user stories, acceptance criteria, and the agreed implementation plan. • Track vendor commitments, deliverables, action items, defects, dependencies, and due dates. • Participate in vendor meetings, technical discussions, demonstrations, sprint reviews, and deliverable-acceptance activities. • Identify deviations from approved requirements, quality standards, or delivery timelines and support their resolution and escalation. • Maintain clear records of vendor decisions, clarifications, commitments, and outstanding actions. 2.5 Integration and Data Migration • Support the analysis and documentation of integration requirements between the EMR and relevant corporate, clinical, laboratory, reporting, and administrative systems. • Document interface requirements, data flows, data ownership, business rules, field mappings, validation rules, and error-handling requirements. • Collaborate with technical teams and the vendor to ensure secure, reliable, and accurate data exchange. • Support data migration planning, including data mapping, cleansing rules, validation criteria, reconciliation, and migration testing. • Participate in the validation of migrated data and integrated workflows to confirm completeness, accuracy, and usability. 2.6 Testing and Quality Assurance • Develop and maintain test strategies, test plans, test scenarios, test cases, test scripts, and expected results based on approved requirements and acceptance criteria. • Coordinate and support functional testing, integration testing, regression testing, system testing, and user acceptance testing. • Work with healthcare professionals and business users to prepare and execute user acceptance testing. • Record, classify, prioritize, and track defects through resolution, retesting, and closure. • Collaborate with quality assurance teams and the vendor to ensure that the EMR meets functional, clinical, technical, usability, and performance requirements. • Maintain traceability between requirements, test cases, defects, and acceptance decisions. • Support the preparation of test completion reports and recommendations for release readiness and production deployment. 2.7 Implementation, Training, and User Adoption • Support implementation, pilot, rollout, stabilization, and post-go-live activities. • Assess implementation readiness and identify operational, technical, training, and change-management gaps.&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's Degree in computer science, information systems, software engineering, health informatics, business information technology, or a related field.</li><li>Professional certification in business analysis, Agile/Scrum, product ownership, project management, or software testing is highly desirable.</li><li>Scrum Product Owner, Scrum Master, PMI-PBA, CBAP, PRINCE2, PMP, or equivalent certification would be an asset.</li><li>Minimum seven (6) years of relevant professional experience.</li><li>Relevant professional experience in technical business analysis, digital transformation, software implementation, or information systems projects.</li><li>Demonstrated hands-on experience across the system development lifecycle.</li><li>Strong practical experience with Agile/Scrum delivery and product backlog management.</li><li>Proven experience developing user stories, acceptance criteria, functional specifications, process flows, and test cases.</li><li>Experience facilitating backlog refinement, sprint planning, sprint reviews, demonstrations, and retrospectives.</li><li>Experience coordinating vendors and reviewing vendor deliverables against agreed requirements and acceptance criteria.</li><li>Practical experience in system testing, defect management, quality assurance, and user acceptance testing.</li><li>Experience with system integrations, APIs, data mapping, or data migration is highly desirable.</li><li>Experience in EMR, healthcare information systems, or other complex enterprise systems is strongly preferred.</li><li>Experience preparing management reports, project documentation, presentations, and governance materials.</li></ul>

<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: We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 8+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidEffort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation: Up to $150/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~30 hours each; you set your own schedule.<br></span> </div>