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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>We help the world run better</span></strong><span><br>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</span></p><br> <p><span><strong><span>What you'll build</span></strong></span></p><br> <br> <p><span><span>In this role, you design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex, business-critical problems. Embedded directly within customer environments and fast-moving delivery teams, you translate strategic and operational challenges into rigorous analytical solutions at speed. You work closely with customers to deliver scalable, enterprise-grade outcomes that drive measurable business value. You are accountable for the quality, impact, and delivery of complex analytical initiatives — acting as a subject-matter expert, managing ambiguity, and ensuring data-driven solutions are robust, reliable, and aligned with business objectives.</span></span></p><br> <br> <p><span><strong><span>In this role, you will:</span></strong></span></p><br> <br> <ul> <li> <p><span><span>Transform complex business challenges into data-driven intelligence by identifying high-value problems, framing them analytically, and engineering robust features and insights.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Design, develop, train, and implement mathematical models, algorithms, and machine learning solutions to solve complex business problems.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Apply advanced techniques across exploratory analysis, statistical modeling, experimentation, forecasting, segmentation, anomaly detection, causal analysis, and machine learning.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Integrate analytical and machine learning solutions into products, prototypes, or business processes, ensuring enterprise-grade scalability and robustness.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Define success metrics, quantify business impact, and translate analytical results into clear, actionable recommendations for decision-makers.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Lead or manage complex analytical workstreams or projects, including deliverables, milestones, risks, and escalations, as appropriate.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Communicate insights, trade-offs, and recommendations effectively to cross-functional teams and customer stakeholders, influencing decisions through evidence and expertise.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Work in an embedded, customer-facing setup, collaborating closely with customer teams to deeply understand their data, applications, and business context — co-developing impactful data and AI-driven solutions.</span></span></p><br> </li> </ul> <br> <p><span><strong><span>What you bring:</span></strong></span></p><br> <br> <ul> <li> <p><span><span>Expert-level proficiency in data science and machine learning, with strong command of Python and SQL, and the ability to design, validate, and optimize end-to-end analytical and ML solutions.</span></span></p><br> </li> </ul> <br> <br> <ul> <li> <p><span><span>Hands-on expertise with Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Deep applied knowledge of statistics and experimentation, including hypothesis testing, experimental design, causal inference, and uncertainty interpretation.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Proven experience applying a wide range of ML techniques — classification, forecasting, clustering, recommendation systems, anomaly detection — balancing accuracy, robustness, interpretability, and usability at scale.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Strong capability to translate ambiguous business questions into measurable analytical problems and connect model outputs to commercial, operational, or strategic decisions.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Experience delivering production-ready analytics and ML systems on modern data platforms, with a strong focus on data quality, governance, and reusability.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Exposure to SAP data landscapes including SAP S/4HANA, SAP BW/4HANA, SAP HANA Cloud, and familiarity with SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Advanced communication and collaboration skills, with the ability to influence senior stakeholders through clear data narratives and executive-ready insights.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>You proactively leverage AI in everyday workflows, ensuring high-quality outputs through thoughtful context design and system integration.</span></span></p><br> </li> </ul> <br> <p><span><strong><span>Where you belong:</span></strong></span></p><br> <br> <p><span>You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. We bring together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate and lead in their markets. We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy — not just produce analysis. This is a place for people who enjoy building something meaningful. You will thrive here if you are intellectually curious, customer-centric, and energized by the opportunity to drive real-world outcomes in a fast-evolving AI landscape.</span></p><br> <br> <br> <p><strong><span>Bring out your best</span></strong><span><br>SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.&nbsp;&nbsp;<br></span><strong><span>We win with inclusion</span></strong><span><br>SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>For SAP employees: Only permanent roles are eligible for the </span><span>SAP Employee Referral Program<span>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,&nbsp; gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br></span></span><span>Successful candidates might be required to undergo a background verification with an external vendor.</span></p><br> <p><strong><span>AI Usage in the Recruitment Process</span></strong></p><br> <p><span>For information on the responsible use of AI in our recruitment process, please refer to our </span><span>Guidelines for Ethical Usage of AI in the Recruiting Process</span><span>. </span></p><br> <p><span><span>Please note that any violation of these guidelines may result in disqualification from the hiring process.</span><span><br>Requisition ID: 457244 &nbsp;| Work Area: Software-Design and Development &nbsp;| Expected Travel: 0 - 10% &nbsp;| Career Status: Professional &nbsp;| Employment Type: Regular Full Time &nbsp;&nbsp;| Additional Locations: &nbsp;#LI-Hybrid<br></span></span></p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Card Fraud Model Development &amp; Optimization Design, develop, and optimize card fraud detection models for issuing and acquiring portfolios. Implement advanced statistical, machine learning, and AI techniques to improve fraud detection accuracy and precision and minimizing false positives. Model Hosting &amp; Deployment Deploy models using SAS SFD and integrate with production systems. Ensure seamless hosting and scalability of models across multiple environments. MLOps &amp; Automation Establish and maintain MLOps pipelines for continuous integration, deployment, and monitoring of fraud models. Automate model retraining and performance tracking processes. Evaluation &amp; Testing Conduct rigorous model validation, stress testing, and performance benchmarking. Collaborate with fraud operations teams to ensure models meet business and regulatory requirements. Collaboration &amp; Stakeholder Management Partner with fraud risk, data engineers, IT and business teams to deliver end-to-end solutions. Communicate insights and recommendations to senior management and business stakeholders.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field. Technical Skills Strong proficiency in SAS (including SAS SFD), Python, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit- learn). Hands-on experience with MLOps tools and practices (e.g., MLflow,Kubeflow, CI/CD pipelines). Deep understanding of card fraud detection techniques and transaction data. Experience 7+ years in data science roles, with at least 3 years in card fraud modeling. Proven track record of deploying models in production environments. Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. <strong>Preferred Qualifications</strong> Experience in banking or payments industry. Familiarity with cloud platforms (AWS, Azure, GCP) for model hosting and deployment. Knowledge of regulatory compliance in fraud risk management.</p><p></p></section>

External Job Description<br><br>MAJOR DUTIES AND RESPONSIBILITIES<br><br> Provide annual supply forecasting requirements for the Annual Service Plan (ASP). Provide analysis of due—ins from OEMS, vendors, balance on hand and store level repairable for assigned equipment systems. Coordinate with the Technical Supply Department and Technical Planning Department to provide advice on required platform stock levels and assessment reports of balance on hand. Review inventory data and advise the Technical Supply Department of optimal line item stock levels for the main stores. Facilitate the establishment of safety and reserve levels for line items critical to ensure operational readiness for all required equipment systems. Coordinate with Technical Planning Department on the status of spares and maintenance trends for the assigned platforms. Facilitate maintenance of the spares master data record in the computer system and coordinate all aspects of demand analysis in support of the units for the assigned platforms. Advise the Technical Supply Department on the status of spares and maintenance trends for the assigned platforms whenever required. Facilitate the requisition of authorised supplies by the Technical Supply Department for equipment system support. Apply continuous improvement and LEAN management principles. Ensure all issued tools, test equipment and high value property is maintained in a serviceable condition routinely inventoried and safeguarded. Support other members of the material section in fulfilling their roles. Maintain the confidentiality and security of all company documents. Perform other duties as required by the Material Manager.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Description</b>Overview<p>The Technical Director – Data Centres is the senior technical authority for Multidisciplinary engineering services associated with Data Centre projects across the Middle East region.</p><br><p>The role is responsible for ensuring technical excellence, design quality, governance compliance, innovation, digital delivery and successful project execution across all stages of the project lifecycle. The position provides leadership to project teams, supports strategic client engagement, leads technical input into major pursuits and serves as a trusted advisor to clients and internal stakeholders.</p><br><p>In addition to project delivery responsibilities, the role is accountable for supporting the development and expansion of AtkinsRéalis' Data Centre market sector in partnership with the Market Director. This includes sector strategy development, client engagement, market intelligence, thought leadership, capability building and work-winning support.</p><br><p>The Technical Director is expected to be recognised both internally and externally as a subject matter expert in mission-critical facilities and to contribute to the growth and reputation of AtkinsRéalis as a leading Data Centre engineering consultant.</p><br>Your role<p><b>Technical Leadership &amp; Engineering Excellence</b></p><br><ul><li>Act as the highest level of technical authority for on Data Centre projects.</li><li>Provide strategic technical direction for hyperscale, colocation, enterprise and edge Data Centre developments.</li><li>Review and approve major engineering strategies, design philosophies and technical solutions.</li><li>Lead resolution of complex technical challenges, constructability issues and multidisciplinary coordination matters.</li><li>Ensure designs achieve optimum levels of resilience, reliability, maintainability, energy efficiency and operational flexibility.</li><li>Support projects through design reviews, assurance gates and independent technical audits.</li><li>Promote best practice engineering methodologies and continuous improvement across project teams.</li><li>Champion technical excellence and innovation throughout the project lifecycle.</li></ul><p><b>Design Governance &amp; Quality Assurance</b></p><br><ul><li>Ensure compliance with AtkinsRéalis quality management processes, technical governance frameworks and OCRA requirements.</li><li>Lead peer reviews, technical audits and independent design verifications.</li><li>Maintain alignment with applicable international standards, local authority regulations and client requirements.</li><li>Monitor technical risks and develop mitigation strategies.</li><li>Ensure lessons learned are captured and incorporated into future project delivery.</li><li>Act as technical signatory for major deliverables where delegated authority permits.</li></ul><p><b>Data Centre Subject Matter Expertise</b></p><br><ul><li>Provide specialist expertise in mission-critical building systems including:</li><li>Civil, Architectural and Structural envelope.</li><li>Power generation and distribution systems.</li><li>UPS systems and battery technologies.</li><li>Cooling and thermal management systems.</li><li>Water conservation and sustainability solutions.</li><li>Fire protection and life safety systems.</li><li>Building Management Systems (BMS).</li><li>Data Centre Infrastructure Management (DCIM).</li><li>Security and critical communications systems.</li><li>Maintain awareness of emerging technologies and industry trends affecting Data Centre design and operation.</li><li>Promote adoption of innovative solutions that improve performance, resilience and sustainability.</li></ul><p><b>Market Sector Development</b></p><br><ul><li>Working jointly with the Market Director:</li><li>Support development and implementation of the regional Data Centre market strategy.</li><li>Identify emerging opportunities and growth areas within the mission-critical sector.</li><li>Build and maintain relationships with hyperscale operators, colocation providers, investors, developers and technology partners.</li><li>Participate in executive client engagement programmes.</li><li>Represent AtkinsRéalis at industry forums, conferences and sector events.</li><li>Develop sector-specific marketing material, thought leadership publications and technical papers.</li><li>Contribute to annual business planning, forecasting and pipeline development.</li><li>Support strategic account planning and key client relationship management.</li><li>Help position AtkinsRéalis as a preferred engineering advisor within the Data Centre market.</li></ul><p><b>Work Winning &amp; Client Development</b></p><br><ul><li>Lead technical input for strategic pursuits and major bids.</li><li>Develop compelling technical methodologies and delivery strategies.</li><li>Participate in bid/no bid assessments and opportunity reviews.</li><li>Support fee development, risk assessments and resource planning activities.</li><li>Prepare and deliver client presentations and interview submissions.</li><li>Provide technical leadership during proposal development activities.</li><li>Support contract negotiations and technical clarifications where required.</li></ul><p><b>Project Delivery Leadership</b></p><br><ul><li>Provide technical oversight across multiple commissions simultaneously.</li><li>Support Project Directors and Project Managers in delivering successful outcomes.</li><li>Ensure projects are delivered safely, profitably and in accordance with client requirements.</li><li>Review project performance, technical risks and resource requirements.</li><li>Assist in resolving project issues that may impact programme, quality or commercial performance.</li><li>Support strategic decisions on complex or high-risk projects.</li></ul><p><b>Digital Engineering &amp; Innovation</b></p><br><ul><li>Drive adoption of digital engineering methodologies within the Data Centre sector.</li><li>Promote BIM, Digital Twin and data-centric delivery approaches.</li><li>Support implementation of automation, AI-enabled workflows and advanced analytical tools.</li><li>Champion innovation initiatives that improve project delivery efficiency and design quality.</li><li>Collaborate with digital delivery leaders to establish industry-leading technical practices.</li></ul><p><b>Sustainability &amp; Future Ready Design</b></p><br><ul><li>Champion sustainable and resilient Data Centre design principles.</li><li>Support implementation of decarbonisation strategies and Net Zero objectives.</li><li>Promote efficient energy and water utilisation solutions.</li><li>Encourage adoption of circular economy principles where appropriate.</li><li>Guide project teams in achieving client sustainability targets and recognised sustainability certifications.</li></ul><p><b>People Leadership &amp; Capability Development</b></p><br><ul><li>Mentor and develop senior engineering staff and future leaders.</li><li>Support succession planning.</li><li>Assist in recruitment, retention and workforce planning activities.</li><li>Foster a culture of collaboration, inclusion, accountability and continuous learning.</li><li>Contribute to talent reviews and career development discussions.</li><li>Promote knowledge sharing across the regional and global Data Centre communities.</li></ul>About you<p><b>Key Accountabilities</b></p><br><ul><li>The role holder shall be accountable for:</li><li>Technical quality of Data Centre engineering outputs.</li><li>Technical governance compliance and risk management.</li><li>Successful delivery of major and complex Data Centre projects.</li><li>Growth of AtkinsRéalis' technical reputation within the market.</li><li>Development of Data Centre sector capability and market presence.</li><li>Contribution to sector revenue growth and work winning.</li><li>Technical development and mentoring of engineering teams.</li><li>Adoption of innovation and digital delivery initiatives.</li></ul><p><b>Education</b></p><br><ul><li>Bachelor's Degree in Mechanical Engineering, Electrical Engineering, Building Services Engineering or related discipline.</li><li>Master's Degree desirable.</li></ul><p><b>Professional Qualifications</b></p><br><ul><li>Chartered Engineer status (CEng, PE or equivalent recognised institution).</li><li>Membership of a relevant professional institution such as CIBSE, IET, IEEE, ASHRAE or equivalent.</li></ul><p><b>Experience</b></p><br><ul><li>Typically 20+ years post-graduate experience.</li><li>Significant experience delivering mission-critical or Data Centre projects.</li><li>Proven record of leadership within a major international consultancy.</li><li>Demonstrated capability managing complex multidisciplinary engineering teams.</li><li>Strong client-facing and stakeholder management experience.</li><li>Evidence of successful work-winning and business development activities.</li></ul><p><b>Technical Knowledge</b></p><br><ul><li>Demonstrable knowledge of:</li><li>Uptime Institute principles.</li><li>TIA-942.</li><li>ASHRAE Data Centre guidance.</li><li>NFPA standards.</li><li>IEC and IEEE standards.</li><li>High-voltage and low-voltage electrical systems.</li><li>Critical cooling technologies.</li><li>Resilience and redundancy strategies.</li><li>Sustainability and energy optimisation approaches.</li></ul><p><b>Leadership Competencies</b></p><br><ul><li>Strategic thinking.</li><li>Commercial awareness.</li><li>Client focus.</li><li>Technical authority and influence.</li><li>Decision making under uncertainty.</li><li>Collaboration and stakeholder management.</li><li>Coaching and talent development.</li><li>Innovation and change leadership.</li></ul><p><b>Success Measures</b></p><br><ul><li>Delivery of technically compliant and high-quality project outcomes.</li><li>Positive client feedback and repeat business.</li><li>Growth in Data Centre market share and pipeline.</li><li>Achievement of work-winning targets.</li><li>Strong safety and quality performance.</li><li>Development and retention of high-performing technical teams.</li><li>Increased adoption of digital and innovative delivery practices.</li><li>Recognition of AtkinsRéalis as a leading Data Centre engineering consultant in the region.</li></ul><span>Rewards &amp; benefits</span><p><span>Explore the rewards and benefits that help you thrive – at every stage of your life and your career.</span></p><br><p><span>This includes:</span></p><br><ul><li>Tax-free salary.</li><li>Life insurance coverage.</li><li>Medical insurance.</li><li>Annual leave balance.</li><li>Company gratuity scheme.</li><li>Discretionary bonus program.</li><li>Annual flight contribution.</li><li>Transportation &amp; housing allowances.</li><li>Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.</li></ul><p><span>Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.</span></p><br><span>About AtkinsRéalis</span><p><span>We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. </span></p><br><p><span>Find out more.</span></p><br><b>Worker Type</b>Employee<b>Job Type</b>Regular<p><span><i>At </i></span> <i><span>AtkinsRéalis</span></i><span><i>, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. &nbsp;</i></span></p><br> </div>

Key responsibilities •Own field-level mapping specifications from SAP and non-SAP billing/AP systems to PINT-AE UBL for outbound invoices, and from PINT-AE to reconciliation keys and ERP posting data for inbound invoices — including transformation rules, code-list mappings, VAT category codes, credit-note reasons and conditional logic per entity and document type.• Maintain the PINT-AE validation rule pack (Schematron and code lists) and the sample-document library; track MoF/FTA and Peppol Authority releases and run impact assessments.• Advise on Tax Data Document (TDD) handling, message-level responses (MLR), invoice types and scenarios (credit notes, self-billing, provisional and final invoices, price adjustments, multi-currency, cross-border).• Facilitate mapping workshops and sign-offs with the client’s tax, AR/AP and IT stakeholders; align with the accredited service provider’s approved mapping artefacts where they exist.• Define regulatory test scenarios and support SIT/UAT and hypercare on compliance questions; advise on archiving, retention and audit requirements under UAE tax procedures law and VAT regulations.<br>Required experience and skills• 7+ years in tax technology, e Invoicing or ERP finance, with 2+ years hands-on with Peppol BIS/PINT mappings (UBL 2.1, EN 16931); UAE PINT-AE and FTA e Invoicing programme knowledge strongly preferred (KSA ZATCA Fatoora or EU Peppol experience also relevant).• Strong UAE VAT knowledge: tax-invoice requirements, VAT categories and exemptions, credit notes and tax-authority reporting. • Experience with SAP SD/FI billing and AP data structures; comfortable reading and writing XML/UBL, Schematron and JSON. • Track record producing mapping specifications, validation rules and test scenarios for tax authorities or service providers.

Location<br><br>New York City<br><br>Address<br><br>New York City, NY<br><br>Employment Type<br><br>Full time<br><br>Location Type<br><br>On-site<br><br>Department<br><br>General Intuition & Medal<br><br>Compensation<br><br>$140K – $240K Offers Equity<br><br>The compensation may vary further depending on individualized factors for candidates, such as job-related knowledge, skills, experience, and other objective business considerations.<br><br>Overview Application<br><br>About The Company<br><br>General Intuition is the frontier lab for acting in space and time. We build large action models and world models that can perceive, predict, and act across virtual and physical environments. General Intuition builds on the strength of Medal, the world's largest and fastest-growing platform for gaming clips, where millions of gamers capture, share, and discover new games every year. We recently raised $320M at a $2.3B valuation led by Khosla Ventures with participation from General Catalyst, Eric Schmidt, and Jeff Bezos, to discover the next generation of real-world intelligence.<br><br>The Role<br><br>You'll be part of a lean, high-ownership data team at Medal, working directly with business and product leadership. You'll own how we learn about our users end-to-end: the company-wide testing roadmap, our analytics instrumentation, the data pipeline, and KPI reporting, plus the deep dives and thought-leadership publications that come out of it. You'll set your own roadmap, evangelize the data so everyone understands it better, and have real influence on what we build next.<br><br>Key Responsibilities<br><br>Design and analyze experiments end-to-end: help affirm the team’s hypothesis and design experiment sample size, guardrail metrics, control configuration, and the resulting readout. You will configure test structure to yield the right information and manage a complex multi-test pipeline. You know how to run causal analysis when a clean A/B test isn’t possible. You understand that multiple things will run at the same time. You help build the strategy behind our analytics instrumentation and facilitate the collection and reporting of the company’s key performance indicators. When tracking is wrong or missing, you work with our front-end engineers to build appropriate telemetry and data scaffolding. You will hunt for opportunities in data that can inform strategy. You will communicate and evangelize against the data and help everyone have a better understanding. Your recommendations include a confidence interval and effect size. You will participate in team planning and roadmapping by contributing your insights and expertise. You inform the quant behind pricing, including willingness to pay, conjoint, price elasticity, and offer testing in upsells and bundles. You are the data backbone for industry and brand thought leadership (Medal trends and how they line up with macro trends), both co-published with partners and self-published. Across the board, you will touch analytics and statistical analysis in a cross-functional capacity to help inform both business decisions (advertising incrementality, subscription pricing, and conversion) and product decisions.<br><br>Attitude / Culture<br><br>3 to 5 years of experience managing and researching product analytics or a master’s degree in statistics or a related field. Applied statistics depth: regression, experimental design (e.g., feature A/B tests), and causal inference. Bayesian methods are a plus. You are comfortable coordinating with engineers on release cycles in a CI/CD environment. You use AI tools to enhance your productivity and raise the bar on your analysis. Experience with event-level data at a consumer scale and data warehouse tooling such as Big Query, Snowflake, or Airflow. Fluent in product analytics platforms like Amplitude or business intelligence tools like Tableau or tools similar to these. Strong SQL, Python, or R for analysis code. Great communication and storytelling skills. Strong ability to manage your own roadmap. Bonus: An ability to conduct qualitative UX research.<br><br>Attitude / Culture<br><br>You have a need for speed and are comfortable with a fast-paced culture and a team that leans towards action. As a custodian of analysis, you can communicate risks and tradeoffs in measurement vs. shipping velocity. You also know what the data cannot answer. You are the kind of person who checks whether your AI analysis is correct. You are the kind of person who asks why until why is exhausted. You are hungry to learn and test yourself. You help level an organization up. When you see something on the ground, you pick it up.<br><br>Compensation Range: $140K - $240K<br><br>Key Responsibilities<br><br>Design and analyze experiments end-to-end: help affirm the team’s hypothesis and design experiment sample size, guardrail metrics, control configuration, and the resulting readout. You will configure test structure to yield the right information and manage a complex multi-test pipeline. You know how to run causal analysis when a clean A/B test isn’t possible. You understand that multiple things will run at the same time. You help build the strategy behind our analytics instrumentation and facilitate the collection and reporting of the company’s key performance indicators. When tracking is wrong or missing, you work with our front-end engineers to build appropriate telemetry and data scaffolding. You will hunt for opportunities in data that can inform strategy. You will communicate and evangelize against the data and help everyone have a better understanding. Your recommendations include a confidence interval and effect size. You will participate in team planning and roadmapping by contributing your insights and expertise. You inform the quant behind pricing, including willingness to pay, conjoint, price elasticity, and offer testing in upsells and bundles. You are the data backbone for industry and brand thought leadership (Medal trends and how they line up with macro trends), both co-published with partners and self-published. Across the board, you will touch analytics and statistical analysis in a cross-functional capacity to help inform both business decisions (advertising incrementality, subscription pricing, and conversion) and product decisions.<br><br>Attitude / Culture<br><br>3 to 5 years of experience managing and researching product analytics or a master’s degree in statistics or a related field. Applied statistics depth: regression, experimental design (e.g., feature A/B tests), and causal inference. Bayesian methods are a plus. You are comfortable coordinating with engineers on release cycles in a CI/CD environment. You use AI tools to enhance your productivity and raise the bar on your analysis. Experience with event-level data at a consumer scale and data warehouse tooling such as Big Query, Snowflake, or Airflow. Fluent in product analytics platforms like Amplitude or business intelligence tools like Tableau or tools similar to these. Strong SQL, Python, or R for analysis code. Great communication and storytelling skills. Strong ability to manage your own roadmap. Bonus: An ability to conduct qualitative UX research.<br><br>Attitude / Culture<br><br>You have a need for speed and are comfortable with a fast-paced culture and a team that leans towards action. As a custodian of analysis, you can communicate risks and tradeoffs in measurement vs. shipping velocity. You also know what the data cannot answer. You are the kind of person who checks whether your AI analysis is correct. You are the kind of person who asks why until why is exhausted. You are hungry to learn and test yourself. You help level an organization up. When you see something on the ground, you pick it up.<br><br>Compensation Range: $140K - $240K<br><br>Key Responsibilities<br><br>Design and analyze experiments end-to-end: help affirm the team’s hypothesis and design experiment sample size, guardrail metrics, control configuration, and the resulting readout. You will configure test structure to yield the right information and manage a complex multi-test pipeline. You know how to run causal analysis when a clean A/B test isn’t possible. You understand that multiple things will run at the same time. You help build the strategy behind our analytics instrumentation and facilitate the collection and reporting of the company’s key performance indicators. When tracking is wrong or missing, you work with our front-end engineers to build appropriate telemetry and data scaffolding. You will hunt for opportunities in data that can inform strategy. You will communicate and evangelize against the data and help everyone have a better understanding. Your recommendations include a confidence interval and effect size. You will participate in team planning and roadmapping by contributing your insights and expertise. You inform the quant behind pricing, including willingness to pay, conjoint, price elasticity, and offer testing in upsells and bundles. You are the data backbone for industry and brand thought leadership (Medal trends and how they line up with macro trends), both co-published with partners and self-published. Across the board, you will touch analytics and statistical analysis in a cross-functional capacity to help inform both business decisions (advertising incrementality, subscription pricing, and conversion) and product decisions.<br><br>Attitude / Culture<br><br>3 to 5 years of experience managing and researching product analytics or a master’s degree in statistics or a related field. Applied statistics depth: regression, experimental design (e.g., feature A/B tests), and causal inference. Bayesian methods are a plus. You are comfortable coordinating with engineers on release cycles in a CI/CD environment. You use AI tools to enhance your productivity and raise the bar on your analysis. Experience with event-level data at a consumer scale and data warehouse tooling such as Big Query, Snowflake, or Airflow. Fluent in product analytics platforms like Amplitude or business intelligence tools like Tableau or tools similar to these. Strong SQL, Python, or R for analysis code. Great communication and storytelling skills. Strong ability to manage your own roadmap. Bonus: An ability to conduct qualitative UX research.<br><br>Attitude / Culture<br><br>You have a need for speed and are comfortable with a fast-paced culture and a team that leans towards action. As a custodian of analysis, you can communicate risks and tradeoffs in measurement vs. shipping velocity. You also know what the data cannot answer. You are the kind of person who checks whether your AI analysis is correct. You are the kind of person who asks why until why is exhausted. You are hungry to learn and test yourself. You help level an organization up. When you see something on the ground, you pick it up.<br><br>Compensation Range: $140K - $240K

About Revolut<br><br>People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 80+ million customers get more from their money every day.<br><br>As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.<br><br>About The Role<br><br>Our Data Science team solves complex problems with smart, practical solutions. Data Analysts and Scientists ‌work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.<br><br>We’re looking for a talented Data Analyst to dig into our complex databases, look for root causes of a problem, design your own solutions, and write your own code to implement them. We aim for you to never stop learning, picking up new skills and delivering value along the way.<br><br>Up to shape what's next in finance? Let's get in touch.<br><br>What You’ll Be Doing<br><br>Understanding our business and its processes through our data Applying this understanding and knowledge of data to help product and service teams Designing key metrics to measure different aspects of the business Creating and maintaining new aggregated views and tables to simplify data querying Maintaining and creating new dashboards to track metrics and visualise insights Promoting data literacy across the company, organising and holding workshops<br><br>What You'll Need<br><br>Previous experience in an analytical role, creating impactful solutions A background/education in a quantitative discipline5+ years of experience with SQLGreat skills with Python or other programming languages Evidence of solid mathematical and statistics knowledge<br><br>Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.<br><br>Important notice for candidates:<br><br>Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<br><br> Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.<br><br>We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.<br><br>By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Join Our Team at Eaton: Empowering Tomorrow, Today!</span></p><br><br><p><span>Eaton has been a key player in the Middle East for 40 years. In July 2024, we announced the construction of a new sustainable&nbsp;<strong>campus in Dubai</strong>, which will bring together our commercial, manufacturing, and support functions, providing room for future growth.&nbsp;</span></p><br><br><p><span><strong>About Us:</strong></span></p><br><br><p><span>Eaton is a power management company where we provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technology and services. Eaton has approximately 96,000 employees and sells products to customers in more than 175 countries.</span></p><br><br><p>Eaton's Global Data Center Segment is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future. </p><br><br><p>Within this segment, Eaton has an opening for a Specialist Engineer for Quality Assurance &amp; Testing. This position is a globally scoped, senior level individual contributor responsible for defining, executing, and continuously improving quality assurance and testing mechanisms across post order execution. This role ensures that products, solutions, services, and delivery outcomes meet defined quality standards before customer impact, shifting quality from reactive inspection to proactive assurance.</p><br><br><p>Operating within the Post Order CoE, this role works in close partnership with the Quality Specialist – Process and the Quality Manager for Global Data Center Segment, ensuring that defined processes are not only well designed, but also verified, tested, and adhered to in real execution environments across regions.</p><br><br>What you’ll do: <br><p><br>Quality Assurance &amp; Testing Frameworks</p><br><br><ul><li>Translate product design requirements into manufacturable solutions, ensuring Design for Manufacturing (DFM) alignment with R&amp;D teams.</li><li>Develop and standardize industrialization methodologies, processes and best practices, contributing to manufacturing engineering knowledge and capability</li><li>Design and maintain global quality assurance and testing strategies for post order execution across products, solutions, and services within the Global Data Center Segment using innovative engineering solutions to address complex challenges.</li><li>Define test plans, validation criteria, and acceptance standards aligned to global quality policies, customer requirements, and risk profiles.</li><li>Ensure quality controls are embedded at critical execution milestones, not solely at final delivery using operational technical engineering excellence frameworks.</li></ul><p><br>Execution Validation &amp; Risk Prevention<br>• Execute and govern assurance activities including audits, validation reviews, readiness assessments, and controlled testing of post order deliverables.<br>• Identify execution risks, systemic defects, and non conformances early; drive root cause analysis and corrective/preventive actions in partnership with operations, engineering, and services teams.<br>• Support escalation and containment for quality issues impacting strategic or multi region data center programs.<br>Global Standardization &amp; Consistency<br>• Enable consistent application of quality assurance and testing practices across regions, balancing global standards with local regulatory and customer specific requirements.<br>• Support global deployment of new offers, tools, or execution models by validating readiness and quality robustness prior to scale up.<br>Collaboration &amp; Integration<br>• Partner closely with the Quality Analyst – Process to ensure process design and assurance mechanisms are tightly integrated and mutually reinforcing.<br>• Collaborate with Engineering, Project Management, Services, Supply Chain, and Commercial teams to align quality expectations and execution realities.<br>• Act as a quality subject matter expert for post order execution in global forums and improvement initiatives.<br>Continuous Improvement &amp; Insights<br>• Analyze quality performance data, testing results, and execution outcomes to identify trends, systemic gaps, and improvement opportunities.<br>• Contribute to continuous improvement initiatives within the Post Order CoE, strengthening Eaton’s execution maturity and customer confidence.</p><br><br>Qualifications: <br><p>• Bachelor’s degree in engineering, Quality, Operations, or a related technical discipline from an accredited institution.<br>• Minimum of (8) years of progressive experience in quality assurance, testing, execution governance, or operational excellence within complex, global environments.<br>• Minimum of (12) years of progressive experience in quality assurance, testing, execution governance, or operational excellence within complex, global environments.<br>• Demonstrated experience supporting large, engineered solutions, capital projects, or services delivery, ideally within data centers, critical power, infrastructure, or adjacent industries.<br>• Formal quality or continuous improvement certifications (e.g., Lean, Six Sigma, ISO‑related frameworks).<br>• Experience driving standard work and continuous improvement across regions (process discipline + pragmatism).<br>• Experience working in or leading teams based in the Middle East or other global hubs.</p><br><br>Skills: <br><p>• Strong knowledge of quality assurance methodologies, testing frameworks, and risk based quality controls.&nbsp;<br>• Familiarity with quality standards and methodologies (e.g., ISO, APQP, stage gate reviews, audit practices).&nbsp;<br>• Ability to translate quality principles into practical, execution ready controls.&nbsp;<br>• Data driven mindset with experience using metrics, dashboards, and insights to influence decisions.&nbsp;<br>• Strong communication, influence, and stakeholder management skills across cultures and seniority levels.<br>• Demonstrated experience working in a global, matrixed organization and influencing cross-functional stakeholders.&nbsp;<br>• Proven experience operating at a global or enterprise level, supporting multi‑region delivery models.<br>• Ability to translate quality principles into practical, execution ready controls.&nbsp;<br>• Data driven mindset with experience using metrics, dashboards, and insights to influence decisions.&nbsp;<br>• Strong communication, influence, and stakeholder management skills across cultures and seniority levels.</p><br><br><p><span>Living and Working in Dubai</span></p><br><br><p><span>Dubai is a vibrant, cosmopolitan city known for its modern architecture, luxurious lifestyle, and rich cultural heritage. Living and working in Dubai offers an exceptional quality of life with world-class amenities, a safe environment, and a thriving expatriate community. Experience a dynamic blend of work and leisure in one of the world’s most exciting cities.</span></p><br><br><br><p><span>Ready to make a difference? Join Eaton’s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!</span></p><br><br><br><p><span>We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.</span></p><br><br><p><span>#LI-NY1</span></p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>We help the world run better</span></strong><span><br>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</span></p><br> <p><strong><span><span><span>What&nbsp;</span><span>you’ll</span><span>&nbsp;build</span></span></span></strong></p><br> <br> <p><span><span>In this role, you will design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex business problems. Embedded within customer engagements and fast-paced delivery teams, you will translate business challenges into scalable analytical and AI solutions that deliver measurable outcomes. Working closely with customers, engineers, and product teams, you will build production-ready machine learning and Generative AI solutions while continuously improving model quality, performance, and business impact.</span></span></p><br> <br> <p><strong><span><span>In this role, you will:</span></span></strong></p><br> <br> <ul> <li> <p><span><span><span>Transform business challenges into data-driven solutions by&nbsp;</span><span>identifying</span><span>&nbsp;analytical opportunities, exploring data, engineering features, and developing predictive models.</span></span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span><span>Design, develop, train, evaluate, and&nbsp;</span><span>optimize</span><span>&nbsp;machine learning models and statistical solutions for enterprise business scenarios.</span></span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Apply techniques across exploratory data analysis, forecasting, classification, clustering, recommendation systems, anomaly detection, experimentation, causal analysis, and predictive analytics.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Develop Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, and Agentic AI frameworks.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span><span>Integrate analytical and AI solutions into enterprise applications and business processes, ensuring scalability, robustness, and&nbsp;</span><span>production</span><span>&nbsp;readiness.</span></span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span><span>Define&nbsp;</span><span>evaluation</span><span>&nbsp;metrics,&nbsp;</span><span>validate</span><span>&nbsp;model performance, monitor deployed models, and continuously improve solution accuracy and reliability.</span></span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Work closely with customer teams to understand business processes, data landscapes, and operational challenges to co-create impactful AI solutions.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Collaborate with AI Engineers, Data Engineers, Product Managers, and UX teams to deliver end-to-end AI products.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Communicate analytical findings, technical trade-offs, and solution recommendations clearly to engineering teams and customer stakeholders.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span><span>Stay current with the latest advancements in Data Science, Machine Learning, Generative AI, and Agentic AI, applying emerging techniques where&nbsp;</span><span>appropriate</span><span>.</span></span></span></p><br> </li> </ul> <br> <p><strong><span><span>What you bring</span></span></strong></p><br> <br> <ul> <li> <p><span><span><span>Strong hands-on&nbsp;</span><span>expertise</span><span>&nbsp;in Data Science, Machine Learning, and Applied AI with excellent&nbsp;</span><span>proficiency</span><span>&nbsp;in Python and SQL.</span></span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span><span>Experience with machine learning frameworks such as Scikit-learn, TensorFlow,&nbsp;</span><span>PyTorch</span><span>,&nbsp;</span><span>XGBoost</span><span>, or similar technologies.</span></span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Strong understanding of statistics, probability, hypothesis testing, experimental design, model evaluation, and feature engineering.</span></span></p><br> </li> </ul> <br> <br> <ul> <li> <p><span><span>Experience developing predictive models, recommendation systems, forecasting models, anomaly detection, and classification algorithms.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span><span>Hands-on experience with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI orchestration frameworks such as&nbsp;</span><span>LangGraph</span><span>,&nbsp;</span><span>LangChain</span><span>,&nbsp;</span><span>CrewAI</span><span>, or&nbsp;</span><span>AutoGen</span><span>.</span></span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span><span>Experience deploying machine learning and AI solutions using cloud-native platforms and modern&nbsp;</span><span>MLOps</span><span>&nbsp;practices.</span></span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Familiarity with SAP data landscapes including SAP S/4HANA, SAP HANA Cloud, SAP BW/4HANA, SAP Business Technology Platform (BTP), AI Core, AI Launchpad, and SAP AI services is an advantage.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span>Ability to translate ambiguous business requirements into practical analytical solutions while balancing model accuracy, interpretability, scalability, and business value.</span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span><span>Strong communication</span><span>, collaboration, and problem-solving skills with the ability to work effectively in customer-facing environments.</span></span></span></p><br> </li> </ul> <br> <ul> <li> <p><span><span><span>You proactively&nbsp;</span><span>leverage</span><span>&nbsp;AI in your everyday workflows, ensuring high-quality outcomes through thoughtful context design, experimentation, and system integration.</span></span></span></p><br> </li> </ul> <br> <p><strong><span><span>Where you belong</span></span></strong></p><br> <br> <p><span><span>You will be part of a growing AI and industry expert team dedicated to serving customers across the Americas, Europe, and Asia. We bring together deep AI&nbsp;</span><span>expertise</span><span>, strong industry knowledge, and regional understanding to help customers innovate and&nbsp;</span><span>lead in</span><span>&nbsp;their markets.&nbsp;</span><span>You’ll</span><span>&nbsp;collaborate with cross-functional teams to solve challenging business problems, build enterprise-grade AI solutions, and deliver measurable customer value. This is a place for curious builders who enjoy learning, experimenting, and applying AI to real-world business challenges.</span></span></p><br> <br> <br> <p><strong><span>Bring out your best</span></strong><span><br>SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.&nbsp;&nbsp;<br></span><strong><span>We win with inclusion</span></strong><span><br>SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.<br>SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.<br>For SAP employees: Only permanent roles are eligible for the </span><span>SAP Employee Referral Program<span>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.<br>Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,&nbsp; gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.<br></span></span><span>Successful candidates might be required to undergo a background verification with an external vendor.</span></p><br> <p><strong><span>AI Usage in the Recruitment Process</span></strong></p><br> <p><span>For information on the responsible use of AI in our recruitment process, please refer to our </span><span>Guidelines for Ethical Usage of AI in the Recruiting Process</span><span>. </span></p><br> <p><span><span>Please note that any violation of these guidelines may result in disqualification from the hiring process.</span><span><br>Requisition ID: 457241 &nbsp;| Work Area: Software-Design and Development &nbsp;| Expected Travel: 0 - 10% &nbsp;| Career Status: Professional &nbsp;| Employment Type: Regular Full Time &nbsp;&nbsp;| Additional Locations: &nbsp;#LI-Hybrid<br></span></span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​</p><br><p>We are looking for a Senior Tech Lead with exceptional depth in AI, data systems, and product innovation.</p><br><p>This is not a traditional software engineering management role. We are seeking a world-class thinker and builder who is passionate about challenging legacy incumbents, leading deep technical exploration, and shipping real products that change the game.<br></p><br><p>You will lead forward-looking R&amp;D efforts, explore and prototype breakthrough ideas, and set the technical direction as this company scales across the MENA region. Working directly with the founders, you’ll have a primary voice in shaping not only <i>what </i>we build, but <i>how </i>we think.</p><br><p><br><b>Discover the Role</b></p><br><ul><li><p>Lead Technical Innovation: Identify whitespace opportunities, challenge legacy solutions, and architect future-ready systems for credit intelligence.</p><br></li><li><p>Prototype &amp; Build: Translate abstract concepts into high-impact prototypes and production-grade systems using AI and real-time data infrastructure.</p><br></li><li><p>Set Technical Direction: Own the architectural roadmap and strategic vision for R&amp;D initiatives with autonomy and clarity.</p><br></li><li><p>Push the Edge: Evaluate and apply emerging techniques in foundation models, causal inference, streaming analytics, and real-time ML.</p><br></li><li><p>Collaborate Across Disciplines: Partner with product, design, data science, and executive leadership to align technical innovation with strategic goals.</p><br></li><li><p>Mentor &amp; Elevate: Raise the bar for engineering and research excellence while building and scaling a high-performing team around you.</p><br></li></ul><p><br><b>Discover the Responsibilities </b></p><br><ul><li><p>You’ve led complex, high-impact engineering or AI projects at companies known for technical excellence (Big Tech, top-tier AI labs, or venture-backed startups).</p><br></li><li><p>You possess a strong grasp of the math, the models, and their practical application to real-world systems.</p><br></li><li><p>You are an active individual contributor who codes daily, prototypes rapidly, and understands systems at scale.</p><br></li><li><p>You combine vision with execution—you don’t just rebuild what’s been done, you imagine what’s possible.</p><br></li><li><p>You’ve worked across the full stack—from data infrastructure and backend systems to deploying ML models in production.</p><br></li><li><p>You thrive in ambiguous environments and operate with a bias toward bold action and continuous iteration.</p><br></li></ul><p><br><b>Discover the Requirements</b></p><br><ul><li><p>8+ years of engineering experience, with a strong track record of leading innovation in AI or data-intensive products.</p><br></li><li><p>Hands-on expertise with Python, distributed data systems (e.g., Spark, Kafka, Snowflake, Databricks), and ML frameworks (e.g., PyTorch, TensorFlow).</p><br></li><li><p>Proven experience architecting, deploying, and scaling production-grade systems.</p><br></li><li><p>Demonstrated ability to think creatively, challenge conventions, and lead R&amp;D from 0 to 1.</p><br></li><li><p>Deep understanding of the current AI research landscape and how to translate cutting-edge research into working software.</p><br></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview Of The Role:</b></p><p>The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics.</p><p><br></p><p><b>What You Will Do:</b></p><ul><li>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</li><li>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</li><li>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</li><li>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</li><li>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</li><li>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</li><li>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</li><li>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Skills To Be Successful:</b></p><ul><li>Advanced machine learning model development and optimization skills.</li><li>Expertise in Generative AI techniques for demand forecasting.</li><li>Proficiency in MLOps practices and model deployment pipelines.</li><li>Strong communication and collaboration abilities with cross-functional teams.</li></ul><p><br></p><p><b>What Qualifies You For The Role:</b></p><ul><li>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</li><li>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</li><li>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</li><li>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</li></ul><p>&nbsp;</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>Overview of the Role</b></p><p><br></p><p>Own the full lifecycle of data network and ICT solutions delivered under our AMC contracts — from implementation and configuration to advanced diagnostics, incident resolution, and change management. You'll be hands-on with Cisco and Aruba switches and wireless controllers, manage SLAs, train customers, and coordinate break/fix escalations under pressure. This role is for engineers who want ownership of real infrastructure, not just tickets.</p><p><br></p><p><b>What You Will Do</b></p><p>&nbsp;</p><ul><li>Implement Data Network and ICT solutions in coordination with customers, principals, service providers, and business partners, ensuring delivery meets design parameters.</li><li>Monitor and maintain enterprise-level network hardware and applications at customer premises.</li><li>Perform advanced diagnostics and monitoring of data network infrastructure solutions.</li><li>Configure and install routers, Aruba and Cisco wireless controllers, switches, firewalls, and load balancers.</li><li>Carry out network maintenance and system upgrades, including service packs, patches, hotfixes, and security configurations.</li><li>Manage incidents (break/fix) end-to-end, from diagnosing root causes to coordinating the repair or replacement of failed equipment.</li><li>Deliver preventive maintenance health checks and respond to service requests within SLA requirements.</li><li>Execute change management activities and ensure projects are completed on time, within scope, cost, and quality requirements.</li><li>Provide system usage training to customers.</li><li>Prioritize workload to maximize productivity and minimize customer downtime.</li></ul><p><br></p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>Required Skills to Be Successful</b></p><p>&nbsp;</p><ul><li>Hands-on experience installing, configuring, and supporting switches, wireless controllers, routers, proxy servers, WAN accelerators, DNS, and DHCP</li><li>Full solutions lifecycle experience: requirements gathering, design, testing, documentation, configuration, and maintenance</li><li>Strong incident and problem management with sharp analytical skills</li><li>Deep knowledge of networking protocols: IGMP, IPSEC, VRRP, HSRP, STP, OSPF, 802.11, QoS</li><li>Solid grasp of the OSI/TCP-IP model</li><li>Proven hands-on network engineering experience with a track record of on-site customer support</li></ul><p>&nbsp;</p><p><br></p><p><b>What Equips You for the Role</b></p><p>&nbsp;</p><ul><li>Bachelor's degree in Electronics, Telecom, IT, Computer Science, or a related field</li><li>Valid CCNP certification in Routing &amp; Switching&nbsp;</li><li>Minimum 5 years' experience in Data Network, routing/switching, infrastructure, Wi-Fi, and security/firewall solutions.</li><li>Relevant experience in Cisco &amp; Aruba networks (switching &amp; wireless)</li><li>Experience with network monitoring, diagnostic, and analytics tools</li></ul><p><br></p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Join Our Team at Eaton: Empowering Tomorrow, Today! <br>&nbsp;<br>Dubai serves as a strategic hub for Eaton’s Middle East operations, bringing together commercial, engineering, manufacturing, and support teams within a globally connected business environment. Building on more than 40 years in the region, Eaton recently announced the development of a new sustainable campus in Dubai, reinforcing our long‑term investment in growth, collaboration, and capability building.<br>&nbsp;<br><strong>Eaton's Global Data Center Segment </strong>is focused on helping data centers realize real business benefits today while optimizing their operations for the future. With the rise of big data, edge computing and cloud, data centers are under pressure to be more high-performing, sustainable and cost-effective than ever, without compromising resilience or security. At the same time, new opportunities and revenue streams require faster speed-to-market. With our digital intelligence, world-class cyber-secure products and services, reliable, compatible solutions and engineering expertise, we help data centers realize real business benefits today while optimizing their operations for the future.<br><br><p>The <strong>Senior Advanced Systems Engineer</strong> is a strategic engineering role within Eaton’s Global Data Centre organisation, responsible for evaluating emerging technologies, developing future infrastructure and supporting the evolution of next-generation mission critical systems.&nbsp;</p><br><br><p>Working alongside Global Solutions Architects, Engineering and Product Management, the role applies engineering expertise, technology foresight to assess future trends, validate new concepts and influence Eaton’s long-term technical direction.&nbsp;</p><br><br><p>The role is primarily focused on future capability development rather than&nbsp;design&nbsp;delivery, while&nbsp;maintaining&nbsp;a strong engineering foundation through technical&nbsp;evaluation, validation&nbsp;and&nbsp;engineering studies.&nbsp;</p><br><br><br>What you’ll do: <br><br><p><strong>Future Technologies &amp; Innovation&nbsp;</strong></p><br><br><ul><li>Evaluate emerging technologies and future data centre architectures.&nbsp;</li><li>Research technology trends across AI infrastructure, power systems, cooling, digital infrastructure and grid integration.&nbsp;</li><li>Assess the technical readiness and engineering feasibility of future technologies.&nbsp;</li><li>Support proof-of-concept activities and innovation programmes.&nbsp;</li></ul><p><strong>Engineering &amp; Technical Validation&nbsp;</strong></p><br><br><ul><li>Apply engineering principles to validate future system concepts.&nbsp;</li><li>Develop engineering studies, technical assessments and technology evaluations.&nbsp;</li><li>Ensure future concepts remain technically robust, practical and deployable.&nbsp;</li><li>Support the transition of validated concepts into future engineering standards and methodologies.&nbsp;</li></ul><p><strong>Industry &amp; Technical Leadership&nbsp;</strong></p><br><br><ul><li>Support Global Solutions Architects through technical design, research and strategic analysis.&nbsp;</li><li>Engage with technology partners, consultants, standards bodies and industry forums.&nbsp;</li><li>Produce technical papers, white papers and future technology recommendations.&nbsp;</li><li>Share technical insight across Engineering, Product Management and Technology teams.&nbsp;</li></ul><br>Qualifications: <br><ul><li>Bachelor’s Degree in Electrical Engineering or related discipline; Master’s preferred.&nbsp;</li><li>Chartered Engineer (preferred).&nbsp;</li><li>Minimum 10 years’ experience in mission critical infrastructure, power systems or data centre engineering.</li></ul><br>Skills: <br><ul><li>Strong engineering compentency in electrical infrastructure, power distribution and integrated systems.&nbsp;</li><li>Demonstrated ability to evaluate emerging technologies using sound engineering judgement.&nbsp;</li><li>Excellent analytical, communication and technical writing skills.&nbsp;</li><li>Proven curiosity, innovation mindset and commitment to continuous learning.</li><li>Experience with Nvidia or AMD is highly appreciated</li><li>Proficiency in English</li></ul><p><span>#LI-SA2</span></p><br><br>What we offer: <br><ul><li>Competitive compensation and benefits, aligned with your experience and impact.</li><li>Opportunity to work on challenging, high‑impact projects within a dynamic and collaborative team environment.</li><li>Your aspirations matter – Eaton actively supports internal mobility and promotes from within whenever possible.</li><li>Your growth matters – We invest in long‑term development through continuous learning, upskilling, and global programs via Eaton University.</li><li>Your contributions matter – Reliability, safety, efficiency, and sustainability are at the heart of what we do, driving meaningful impact on people’s lives and the environment.</li><li>Your wellbeing matters – Health, safety, and wellness are a priority. At Eaton, wellbeing goes beyond programs, empowering employees with the tools and environment to thrive.</li></ul><br><p><span><strong>Living and Working in Dubai</strong></span></p><br><br><p><span>Dubai is an internationally connected city that offers strong professional opportunities within a truly global environment. Living and working in Dubai means being part of a diverse, forward‑looking business community, supported by modern infrastructure, excellent connectivity, and a well‑established expatriate ecosystem.</span></p><br><br><p>At Eaton, employees based in Dubai are part of a stable, well‑governed organization that brings together global teams, clear ways of working, and the flexibility needed to support both performance and long‑term career development.</p><br><br><p><span><em><br><strong>Ready to make a difference? Join Eaton’s Dubai Team and be part of a company shaping the future of sustainable manufacturing and power management!</strong></em></span></p><br><br><br><p><span>We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.</span></p><br><br><br> </div>

<ul><li><p>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</p></li><li><p>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</p></li><li><p>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</p></li><li><p>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</p></li><li><p>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</p></li><li><p>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</p></li><li><p>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</p></li><li><p>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Advanced machine learning model development and optimization skills.</p></li><li><p>Expertise in Generative AI techniques for demand forecasting.</p></li><li><p>Proficiency in MLOps practices and model deployment pipelines.</p></li><li><p>Strong communication and collaboration abilities with cross-functional teams.</p></li></ul><p><br><strong>What Qualifies You For The Role:</strong></p><ul><li><p>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</p></li><li><p>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</p></li><li><p>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</p></li><li><p>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>Work with Us. Change the World.</strong></p><br><p>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.</p><br><p>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.</p><br><p>We're one global team driven by our common purpose to deliver a better world. Join us.</p><br><br>Job Description<br><p>AECOM is seeking a highly motivated and skilled Data Scientist to support our Quantity Surveying and Cost Management teams in the Dubai, UAE office. The candidate will play a pivotal role in leveraging digital tools and technologies to enhance project efficiency, accuracy, and data-driven decision-making. This role is ideal for someone with a passion for digital innovation in the construction sector and wants to be a part of the success of the creation and implementation of planned and future digital initiatives.</p><br><p>This role is a part of our 24-months Advance graduate program. Your journey from graduate to future leader will be supported through structured learning programs and one-on-one mentoring with industry experts, equipping you with the tools to make a lasting impact on our organization and the nation.</p><br><p><strong>As part of AECOM’s commitment to Emiratisation and in accordance with UAE labour law, only UAE Nationals with a family book will be considered for this role.</strong></p><br><p><strong>This role is fully&nbsp;NAFIS eligible. AECOM manages all registrations and contributions to the&nbsp;GPSSA (General Pension and Social Security Authority).</strong></p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Digital Support for quantity surveying and cost management teams: Collaborate with quantity surveyors to ensure seamless integration of digital workflows into traditional practices .Enhance and support cost planning, cost control, and value engineering processes using digital platforms. Maintain and update databases, ensuring accurate and up-to-date information for project teams. Generate information rich reports and dashboards using data visualization tools.</li><li>Data Management &amp; Analysis: Collect, organize, and analyze project data to provide actionable insights for cost management. Develop and maintain digital templates, workflows, and automation scripts to improve efficiency. Ensure data integrity and compliance with company standards and protocols.</li><li>Technology Implementation: Provide training and technical support to team members on digital tools and processes. Stay updated on emerging technologies and recommend innovative solutions to enhance project delivery. Support cross-functional teams in adopting digital practices and fostering a culture of innovation.</li></ul><br>Qualifications<br><p>A degree or diploma in a relevant field such as Quantity Surveying, Digital Engineering, Software Engineering, Computer Science, Data Analytics or a related field with a <strong>minimum GPA of 2.8</strong></p><br><p><strong>Specific Skills Required:</strong></p><br><ul><li><p>An understanding of common construction industry digital tools like BIM authoring and management software (e.g., Revit, Navisworks, ACC, Solibri, Aconex), CostX, or similar platforms.</p><br></li><li><p>Advanced skills in Python, SQL, data visualization tools (e.g., Power BI), and other relevant software.</p><br></li><li><p>Excellent analytical and problem-solving skills.</p><br></li><li><p>Strong communication and teamwork abilities.</p><br></li><li><p>Experience with programming and developing automation tools with Dynamo, Python, VBA or similar scripting languages.</p><br></li><li><p>The ideal candidate would have experience working in teams to deliver complex projects with multiple stakeholders.</p><br></li><li><p>Effective communicate, including speaking to groups and providing training sessions from time to time would be required.</p><br></li><li><p>Well established organization and time management skills.</p><br></li><li><p>Confident to engage and positively challenge with other team members across disciplines and of different seniorities.</p><br></li><li><p>Be inclusive and supportive and contribute to a positive and productive team environment.</p><br></li></ul><br>Additional Information<br><p><em>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. <strong>To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.</strong></em></p><br><p><strong>About AECOM</strong>&nbsp;</p><br><p>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,&nbsp;well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.&nbsp;</p><br><p>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.&nbsp;</p><br><p><strong>What makes AECOM a great place to work</strong>&nbsp;</p><br><p>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.&nbsp;</p><br><p>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.&nbsp;</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Amazon Web Services is hiring a Product Design Engineer for the Electrical Products and Services engineering team. This electrical product focused team is a part of a global engineering team, responsible for the design and continuous innovation for products used within our rapidly expanding data center foot print.<br>The Electrical Product Engineering team at Amazon works to design and develop resilient, cost-effective electrical distribution products and systems. As engineers at Amazon, we are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to Sr. Management and work hard to drive continuous advancements and improvements with our designs. As an engineer at Amazon, you have the ability to drive change and define/design the systems our customers rely on.<br>We are seeking a Product Design Engineer with an Electrical Engineering background with hands-on experience in new product design and development of electrical power distribution equipment such as Low Voltage Switchgear, Power Distribution Cabinets or LV panel boards. If you can design electrical power distribution product/s and equipment, help to test and successfully test the products per latest codes and standards using third party test laboratories then you will be a good fit. You will directly lead product design and development and be a part of the process from concept to implementation. You must be capable of defining equipment specifications and evaluating the merit of design changes. You will be relied on as a subject matter expert in the product design field<br>About AIS <br>AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.<br>You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. <br>Key job responsibilities<br>- Supports the Data Center Design Engineering, Principal Engineering, and Hardware Engineering teams to design and develop innovative concepts into new products needed for power distribution for data center.<br>- Lead new product design, development and work with internal teams to understand design requirements and solicit customer input.<br>- Collaborate with other disciplines such as mechanical and structural engineering, reliability, QA/QC and compliance to create well thought out products.<br>- Creation of designs which meet or exceed our quality requirements while delivering a return on investment.<br>- Work with global suppliers and manufacturers to specify appropriate electrical equipment, devices and bill of materials.<br>- Ensure compliance with federal, state and municipal requirements and building codes across different countries.<br>- Prepare, Review and approval of product design and drawings including electrical bill of materials, configuration, layouts, assembly, construction and electrical wiring drawings.<br>- Define project scope and provide technical support for information requests prior to, and during manufacturing phases.<br>- Work with field engineering and commissioning teams to properly set up test processes and validate installation, operation, and performance of electrical products.<br>- Ability to work on concurrent projects in multiple geographical regions.<br>- Support of Operations including failure mode and root cause analysis, maintenance and troubleshooting support, and operating procedure review.<br>- Be a leader within the group as well as within internal and external teams that support the data center.<br>- Having fun while offering creative, out of the box solutions.<br>A day in the life<br>As a Senior Product Design Engineer, you'll focus on developing electrical power distribution products and systems that support our expanding data center operations. Your day might include reviewing design specifications with internal stakeholders to understand evolving requirements, collaborating with mechanical and structural engineers to refine product concepts, or coordinating with third-party testing laboratories to validate that designs meet the latest codes and standards. You'll also work with global suppliers to evaluate equipment options, prepare detailed electrical drawings and bills of materials, and support field teams during installation and commissioning. Throughout your work, you'll balance multiple concurrent projects across different geographical regions while serving as a technical resource for colleagues and external partners.<br>About the team<br>We are a global electrical engineering team dedicated to designing and continuously innovating the electrical distribution products and systems that form the backbone of Amazon's data center infrastructure. Our team works collaboratively across disciplines—including mechanical engineering, reliability, quality assurance, and compliance—to create products that meet rigorous quality standards while delivering strong returns on investment. We partner with engineering service providers, manufacturers, vendors, inspectors, and testing laboratories to bring concepts to life. Our vision is to advance electrical distribution technology through thoughtful design, continuous improvement, and creative problem-solving. You'll join a group that values technical expertise, cross-functional collaboration, and the ability to communicate complex engineering decisions to senior leadership. We're excited to welcome someone who can contribute to our mission of achieving world-class uptime for our customers while helping us scale our operations efficiently.<br>About AWS<br>Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>Diverse Experiences<br>AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.<br>Inclusive Team Culture<br>Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>Mentorship &amp; Career Growth<br>We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>Work/Life Balance<br>We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.<br>- Bachelor's degree in Engineering or a related field<br>- Knowledge of critical data center mechanical and electrical equipment<br>- Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities<br>- Experience researching new designs, technologies, and construction methods of data center equipment and facilities<br>- Professional Engineering or Architectural License<br>- Knowledge of building codes and regulations for your region<br>- Experience carrying design concepts through exploration, development, and into deployment or mass production<br>- Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents<br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> United Arab Emirates </div> </div>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a ELD Specialist based in United Arab Emirates.<br><br>This is a fully remote opportunity for an ELD Specialist to support safe, compliant, and efficient transportation operations. You’ll serve as a key technical resource for drivers, dispatchers, and fleet teams, helping resolve ELD issues quickly and effectively. The role combines hands-on troubleshooting with regulatory knowledge across Electronic Logging Devices (ELDs) and Hours of Service (HOS). You’ll monitor ELD data, identify compliance exceptions, and support reporting requirements. You’ll also contribute to training, process improvements, and stronger fleet-wide compliance practices. This is a fast-paced, international environment where adaptability, communication, and operational ownership are highly valued.<br><br>Accountabilities<br><br>Provide first-line technical support for ELD hardware, software, connectivity, and related technology issues, guiding users through troubleshooting and resolution. Support drivers, dispatchers, and fleet managers with ELD-related questions and ensure issues are handled promptly, professionally, and accurately. Monitor ELD data for compliance, identify exceptions, and prepare reports required for safety audits and FMCSA requirements. Train drivers, dispatchers, and internal teams on ELD usage, Hours of Service requirements, electronic log maintenance, and compliance best practices. Communicate with ELD vendors and internal technology teams to document, escalate, and resolve recurring technical issues. Maintain current knowledge of federal and state ELD regulations and help ensure operational practices remain compliant with changing requirements. Contribute to continuous improvements in ELD processes, compliance monitoring, reporting, and support workflows. Promote safety, reliability, and regulatory compliance across transportation operations while adapting to new technologies and regulatory changes.<br><br>Requirements<br><br>At least 1 year of hands-on experience working with ELD systems or related technology within trucking, logistics, transportation, or a similar environment. Strong understanding of FMCSA ELD regulations and Hours of Service rules. Demonstrated troubleshooting ability, with the confidence to diagnose ELD issues and guide drivers or other end users through practical solutions. Excellent written and verbal communication skills, with a professional and customer-focused approach. Strong organizational and prioritization skills, with the ability to manage multiple support requests in a fast-paced environment. Familiarity with major ELD vendors, telematics platforms, and ELD-related technologies is preferred. Experience preparing ELD compliance, safety, or incident reports is an advantage. Previous experience training adult learners or supporting driver training programs is a plus. Bi- or multilingual communication skills are highly valued. Comfortable working independently in a fully remote environment while collaborating effectively with geographically distributed teams. Resourceful, adaptable, detail-oriented, and committed to finding practical solutions while maintaining high compliance standards.<br><br>Benefits<br><br>Competitive salary package. Paid time off (PTO). Fully remote work environment. Supportive, collaborative, and internationally diverse team. Ongoing training in ELD technology, compliance, and transportation operations. Opportunities for professional growth and career advancement. Opportunity to make a measurable impact on fleet safety, efficiency, and regulatory compliance.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description – AI Strategy & Governance We are seeking a high-performing Personnel to join our AI Strategy & Governance practice. This role will lead client engagements focused on assessing AI maturity, defining target-state capabilities, and designing scalable AI operating models. The ideal candidate combines strategic thinking, strong stakeholder management, and a deep understanding of AI governance, risk, and enterprise transformation.<br>Key Responsibilities Client Engagement & Delivery Lead end-to-end delivery of AI strategy and governance engagements across industries Conduct AI maturity assessments across dimensions such as data, technology, talent, governance, and processes Define target-state AI maturity models aligned with business strategy and value realization Design and implement enterprise AI operating models (centralized, federated, hybrid) Develop AI roadmaps, including prioritized use cases, capability build-out plans, and investment strategies AI Governance & Risk Establish AI governance frameworks, including policies, standards, and controls Advise clients on responsible AI, model risk management, and regulatory compliance Define processes for AI lifecycle management (development, deployment, monitoring, retraining) Support implementation of AI risk and control frameworks aligned with global standards Stakeholder Management Engage with senior client stakeholders (C-suite, business leaders, IT, risk, compliance) Facilitate workshops to align on AI vision, strategy, and operating model design Translate complex AI concepts into business-relevant insights and recommendations Practice Development Contribute to development of AI strategy & governance offerings, methodologies, and thought leadership Support business development activities, including proposals, client pitches, and solution shaping Mentor and coach junior team members Key Skills Strong understanding of AI maturity models, operating models, and governance frameworks Knowledge of responsible AI principles (fairness, explainability, transparency, accountability) Experience with AI risk management, model governance, and regulatory considerations Ability to bridge business strategy and technical implementation Strong project management and team leadership experience Excellent communication and executive presentation skills Ability to manage multiple stakeholders and complex engagements Proven ability to work in fast-paced, ambiguous environments Qualification Native Arabic speaker; fluent in reading, writing & speaking both Arabic & English Bachelor’s degree in Business, Technology, Data Science, Engineering, or related field MBA or advanced degree preferred.6–10 years of experience in consulting, with a focus on AI/analytics strategy, digital transformation, or technology advisory Proven experience delivering AI strategy, operating model, or governance engagements Familiarity with AI/ML concepts, data ecosystems, and enterprise architecture Experience working in a Big 4 or top-tier consulting firm Exposure to global AI regulations and standards (e.g., EU AI Act, model risk guidelines) Certifications in AI, data, or risk management (e.g., PMP, CISM, or equivalent)