وظائف مطور قواعد بيانات

<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>

<ul><li><p>Lead the design, installation, and commissioning of high-efficiency cooling systems tailored for power-intensive AI data centers.</p></li><li><p>Spearhead the integration of scalable liquid cooling and direct-to-chip cooling solutions for high-density computing environments.</p></li><li><p>Design and deploy zero-water-consumption cooling systems to align with modern sustainability and environmental goals.</p></li><li><p>Apply <strong>Balanced Delta T</strong> optimization strategies to maximize thermal efficiency and minimize energy consumption.</p></li><li><p>Develop comprehensive preventative maintenance protocols and lead complex troubleshooting efforts for operational data centers.</p></li><li><p>Act as the primary technical authority on all cooling-related matters. Guide, mentor, and train our internal teams, building in-house capabilities from the ground up.</p></li><li><p>Collaborate with clients to assess their power and cooling requirements, translating their needs into robust, scalable engineering solutions.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Substantial, proven hands-on experience in the design, installation, and maintenance of enterprise or hyperscale data center cooling systems.</p></li><li><p>Deep practical knowledge of scalable liquid/chip cooling technologies.</p></li><li><p>Proven track record with zero-water-consumption cooling architectures.</p></li><li><p>Strong understanding and practical application of Balanced Delta T optimization.</p></li><li><p>Demonstrated ability to mentor teams, lead projects independently, and provide strategic engineering guidance.</p></li><li><p>Bachelor’s or Master’s degree in Mechanical Engineering, Thermodynamics, or a closely related field.</p></li><li><p>Exceptional analytical skills with the ability to troubleshoot complex thermal dynamics in high-density IT environments.</p></li></ul>

<p>Data Entry </p><p><strong>Desired Candidate Profile</strong></p><p>1) Candidate should have own visa</p><p>2) Ready to work for 2 months extendable contract </p><p>3) Should have Data Entry Experience </p><p>4) Office Location will be in Karama Dubai</p><p>5) Salary is AED 2,000 per month</p><p>6) working days - Monday to Friday</p><p>7) Students with own visa having finance and accounting background can also apply</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><br> <strong>JOB SUMMARY / INTRODUCTION</strong></p><br><p>The role supports the VP &amp; Head of GM MO Trade Support by managing day-to-day Dealer Assist and Data Readiness activities across Global Markets products, ensuring Front Office Sales and Trading desks receive timely, accurate and consistent operational support. The role coordinates client ready-to-trade activities, product activation readiness, counterparty setup, account and portfolio readiness, static/reference data dependencies, SSI enrichment requirements and new product operational readiness from a Trade Support perspective. The role manages T0 Dealer Assist requests, trade booking support queries, allocation support, enrichment follow-up, affirmation/confirmation monitoring support and settlement-readiness dependencies, ensuring timely escalation and hand-off to relevant owner functions. The role works closely with Front Office, GM MO Trade Support, Operations, KYC, Credit, Compliance, GM Documentation, Reference Data, Technology, Product Control, Market Risk and regional teams to remove blockers, improve service quality and support scalable trade execution support.The role does not own independent Control &amp; Governance responsibilities such as trading permissions controls, booking template controls, off-market monitoring, counterparty exposure monitoring, reconciliations, collateral management, regulatory reporting, RCSA/KRI ownership or control effectiveness testing.</p><br><p> <strong> KEY RESPONSIBILITIES</strong></p><br><ul><li>Dealer Assist Operating Discipline</li><li>Execute and coordinate daily Dealer Assist activities in line with approved service standards, request channels, escalation protocols and handover routines.</li><li>Manage Front Office request intake, triage, prioritisation, allocation and follow-up across assigned products, desks or regional coverage points.</li><li>Support trade booking queries, client account allocations, portfolio allocations, sales-support requests and trade-flow coordination required by Sales and Trading desks.</li><li>Maintain request logs, workload trackers, escalation records and service commentary to support transparent service management.<br>Identify recurring Dealer Assist issues, process gaps and capacity constraints, and escalate improvement opportunities to the VP &amp; Head of GM MO Trade Support.</li><li>Client Activation and Ready-to-Trade Coordination</li><li>Coordinate client onboarding and ready-to-trade activities with KYC, Credit, Compliance, GM Documentation, Reference Data, Operations and Front Office teams.</li><li>Track client, counterparty, product, account, portfolio, SSI, static data and reference-data dependencies required for trading enablement.<br>Support product activation and counterparty activation by coordinating required data, documentation, system setup and stakeholder actions.<br>Escalate onboarding blockers, incomplete setup items, documentation gaps and system-readiness issues impacting Front Office execution.<br>Maintain readiness trackers and provide timely updates on open actions, owners, deadlines and risks to trade readiness.</li><li>Data Readiness and Static / Reference Data Coordination</li><li>Support static data, reference data, market data and SSI readiness activities required for accurate trade booking, enrichment, validation and downstream processing.</li><li>Coordinate with Reference Data, Technology, Operations, Market Risk and relevant owner functions to resolve data-quality or setup issues impacting trade support.</li><li>Perform completeness checks on operational data dependencies and ensure items are appropriately routed, tracked and escalated.<br>Support new product operational readiness by coordinating data, system and workflow dependencies from a Trade Support perspective.<br>Identify recurring data-readiness issues and support root-cause analysis, remediation actions and process standardisation.<br>T0 Trade Support and Enrichment Support</li><li>Support T0 trade support activities including non-economic booking support, enrichment follow-up, allocation support and trade-flow coordination.<br>Coordinate with T0 Validation teams to ensure required trade-support information is complete and available for validation, affirmation, confirmation and settlement-readiness processes.</li><li>Support Front Office queries relating to booking support, account/portfolio mapping, SSI enrichment, missing data and trade-support dependencies.<br>Escalate aged, urgent or high-impact trade support items to the VP &amp; Head of GM MO Trade Support and relevant owner functions.<br>Ensure unresolved control, reconciliation, collateral, regulatory or risk-monitoring matters are handed off to GM MO Control &amp; Governance or other owner functions as appropriate.</li><li>Affirmation, Confirmation and Settlement-Readiness Support</li><li>Monitor assigned affirmation and confirmation support items, coordinating follow-up with relevant teams where trade-support information is required.<br>Support settlement-readiness by ensuring account setup, allocation, SSI, enrichment and required non-economic data dependencies are complete or escalated.</li><li>Coordinate with Operations, Trade Support, Product Control, Front Office and regional teams to resolve trade-support dependencies that may impact timely downstream processing.</li><li>Track open support items, commentary, owner actions and escalation status to support daily service discipline.<br>Contribute to reduction of recurring trade-support issues by identifying upstream data, booking or workflow causes.<br>Stakeholder Management and Service Delivery</li><li>Act as a day-to-day Trade Support contact for Front Office Sales and Trading desks on Dealer Assist and data-readiness matters.<br>Coordinate across KYC, Credit, Compliance, GM Documentation, Reference Data, Technology, Operations, Product Control and regional teams to remove trade-support blockers.</li><li>Maintain clear communication on service status, pending actions, escalation requirements and expected next steps.<br>Support effective hand-offs between Dealer Assist, T0 Validation, Operations and GM MO Control &amp; Governance functions.<br>Promote a service-oriented culture focused on responsiveness, accuracy, ownership, clear escalation and Front Office enablement.<br>Reporting, MI and Service Inputs</li><li>Prepare inputs for Trade Support service reporting, operational dashboards, request volumes, SLA adherence, backlog ageing and recurring issue themes.</li><li>Provide accurate commentary on client readiness, data-readiness blockers, Dealer Assist activity and trade-support escalation items.</li><li>Maintain request and readiness trackers to support management visibility and service performance analysis.</li><li>Contribute to KPI and service-quality inputs required by the VP &amp; Head of GM MO Trade Support.</li><li>Support standardised MI and dashboard enhancements for Trade Support and Data Readiness activities.</li><li>Process Improvement, Automation and UAT</li><li>Identify opportunities to simplify request management, reduce manual hand-offs, improve data-readiness tracking and enhance service visibility.</li><li>Participate in UAT, workflow design, dashboard development and automation initiatives impacting Dealer Assist and Data Readiness processes.</li><li>Support standardisation of templates, request categories, escalation formats, handover processes and operating procedures.</li><li>Contribute to continuous improvement initiatives that enhance STP, service quality, capacity and operational scalability.</li><li>Support knowledge transfer and cross-training across Dealer Assist, Data Readiness and T0 Validation teams.</li><li>People, Capability and Coverage Support</li><li>Coach Specialists were assigned and support day-to-day task allocation, workload balancing and service discipline within the Dealer Assist &amp; Data Readiness team.</li><li>Support cross-product capability building across FX/MM, Derivatives, Commodities, Capital Markets and other applicable products.<br>Assist in documenting procedures, process maps, checklists and training materials for Trade Support activities.</li><li>Promote accountability, ownership, timely escalation and consistent service standards across the team.</li><li><p>Support succession planning, coverage resilience and cross-training initiatives led by the VP &amp; Head of GM MO Trade Support.</p><br><p><strong>Key Working Relationships</strong></p><br></li><li>Internal stakeholders include the VP &amp; Head of GM MO Trade Support, Head of Global Markets Middle Office, GM MO Control &amp; Governance, Front Office</li><li>Sales and Trading desks, Global Markets Operations, Product Control, Market Risk, Finance, Compliance, Legal, Technology, Credit, KYC, GM Documentation, Reference Data and regional Middle Office teams.</li><li><p>External stakeholders may include clients, counterparties, custodians, brokers, clearing channels or market infrastructure providers where Dealer Assist or Data Readiness coordination is required to support client readiness, trade readiness, affirmation, confirmation or settlement-readiness activities.</p><br><p><strong>REQUIREMENTS / QUALIFICATIONS</strong></p><br></li><li>Bachelor’s degree in finance, Banking, Economics, Business Administration, Accounting or a related discipline; professional qualification preferred.</li><li>7+ years of experience in Global Markets Operations, Middle Office, Trade Support, Dealer Assist, Client Onboarding, Reference Data, Front Office support or related operational support functions.</li><li>Strong understanding of Global Markets products including FX, Money Markets, Rates, Derivatives, Commodities, Capital Markets and structured products.</li><li>Good knowledge of trade lifecycle processes including client readiness, product activation, counterparty setup, trade booking support, enrichment, validation, affirmation, confirmation and settlement-readiness support.</li><li>Experience coordinating with Front Office, KYC, Credit, Compliance, GM Documentation, Reference Data, Technology, Operations, Product Control and regional teams.</li><li>Practical knowledge of systems and platforms such as Murex, Bloomberg, MarkitWire / matching platforms, reference-data tools, workflow trackers and dashboard tools.</li><li>Strong stakeholder management, prioritisation, communication, escalation, documentation and service-delivery skills.</li><li><p>Experience supporting process standardization, automation, UAT, operating-model change or service improvement.</p><br><p><strong>Preferred / Beneficial</strong></p><br></li><li>Professional qualification preferred.</li><li>Skills</li><li>Global Markets Trade Support</li><li>Dealer Assist operating model</li><li>Client activation and ready-to-trade processes</li><li>Product and counterparty activation</li><li>Static, SSI and reference data coordination</li><li>Market data readiness coordination</li><li>Trade booking support and allocations</li><li>Account and portfolio mapping support</li><li>Trade enrichment support</li><li>Same-Day Validation support inputs</li><li>Affirmation and confirmation monitoring support</li><li>Settlement-readiness dependencies</li><li>FX/MM, Rates, Derivatives and Commodities lifecycle</li><li>Murex, MarkitWire and Bloomberg knowledge</li><li>Queue management and SLA tracking</li><li>Handover discipline and request management</li><li>Process improvement and STP mindset</li><li>UAT, workflow automation and dashboard requirements</li><li>Cross-functional stakeholder management</li><li>Service performance reporting</li><li>Service excellence</li><li>Front Office partnership</li><li>Execution discipline</li><li>Attention to detail</li><li>Clear communication</li><li>Stakeholder management</li><li>Accountability and ownership</li><li>Prioritizations under pressure</li><li>Issue-resolution focus</li><li>Collaboration across function</li><li>Ability to manage multiple requests</li><li>Coaching and knowledge sharing</li><li>Ability to work across products, regions and teams.</li><li>All source links have been removed as requested.</li></ul><br> <b>About Us:</b><br> First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br> <b>Life at FAB:</b><br> Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to "Grow Stronger." We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br> <b>Career Development:</b><br> FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br> <b>Our Values:</b><br> At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br> Join our team and be part of a journey to shape the future of banking.<br> </div>

<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"> <p><span><span><strong>Location:</strong> Al Ain, UAE<br><strong>Industry:</strong> University Healthcare Services (24-Hour Medical Clinic)<br><strong>Working Hours:</strong> 60 hours per week (Rotational Day &amp; Night Shifts)</span></span></p><br><span><strong><span>Job Summary</span></strong></span><p><span><span>Via Medica International Healthcare is seeking a highly skilled <strong>Medical Coder cum Insurance Coordinator</strong> to join our healthcare team in Al Ain. The successful candidate will be responsible for accurate medical coding, insurance claims processing, billing coordination, and regulatory compliance to ensure timely reimbursement and adherence to UAE healthcare standards. The role will be based on-site at the university clinic and will report to the Via Medica International Healthcare office as required.</span></span></p><br><span><strong><span>Key Responsibilities</span></strong></span><ul><li><span><span>Assign accurate medical codes using <strong>ICD-10-AM</strong>, <strong>Current Procedural Terminology (CPT)</strong>, and other applicable healthcare coding standards.</span></span></li><li><span><span>Prepare, submit, monitor, and follow up on insurance claims through <strong>eClaimLink</strong>, <strong>Daman</strong>, <strong>Thiqa</strong>, and other approved Abu Dhabi insurance providers.</span></span></li><li><span><span>Coordinate with insurance companies regarding claim approvals, rejections, resubmissions, and reimbursement status.</span></span></li><li><span><span>Maintain accurate, confidential medical billing records and Electronic Health Records (EHR).</span></span></li><li><span><span>Liaise with physicians, nurses, reception staff, and other clinic personnel to ensure complete and accurate clinical documentation.</span></span></li><li><span><span>Review documentation to ensure coding accuracy and compliance with insurance requirements.</span></span></li><li><span><span>Assist in applying for insurance network participation when required.</span></span></li><li><span><span>Generate periodic medical coding, billing, insurance, and operational reports for clinic leadership and the Corporate HSE, HR, and Finance Departments.</span></span></li><li><span><span>Ensure compliance with <strong>Department of Health – Abu Dhabi (DOH)</strong>, <strong>UAE Ministry of Health (MOH)</strong>, <strong>NRC/IAEA</strong> requirements (where applicable), and internal corporate policies and healthcare protocols.</span></span></li><li><span><span>Support internal quality audits and external regulatory inspections by maintaining accurate documentation and records.</span></span></li><li><span><span>Identify coding and billing discrepancies and recommend corrective actions to improve claim acceptance and revenue cycle efficiency.</span></span></li><li><span><span>Maintain the highest standards of professionalism, confidentiality, and ethical conduct at all times.</span></span></li></ul><strong><span><span>Qualifications</span></span></strong><ul><li><span><span>Bachelor's Degree or Diploma in Health Information Management, Medical Coding, Nursing, Pharmacy, or another relevant healthcare discipline.</span></span></li><li><span><span>Minimum <strong>3–5 years of experience</strong> as a Medical Coder within a hospital, healthcare facility, or occupational health clinic.</span></span></li><li><span><span>Valid <strong>AAPC</strong> certification (e.g., CPC) is mandatory.</span></span></li><li><span><span>Certified in <strong>ICD-10-AM</strong> medical coding.</span></span></li><li><span><span>Current <strong>Basic Life Support (BLS)</strong> certification.</span></span></li><li><span><span>Infection Control certification is required.</span></span></li><li><span><span>Strong knowledge of UAE health insurance regulations and claims processes.</span></span></li><li><span><span>Hands-on experience with <strong>eClaimLink</strong>, <strong>Daman</strong>, <strong>Thiqa</strong>, and other Abu Dhabi insurance platforms.</span></span></li><li><span><span>Experience using Electronic Health Record (EHR/EMR) systems.</span></span></li><li><span><span>Proficient in Microsoft Office applications, particularly Excel and Outlook.</span></span></li><li><span><span>Excellent analytical, organizational, and communication skills.</span></span></li><li><span><span>Ability to work independently while collaborating effectively with multidisciplinary healthcare teams.</span></span></li></ul><strong><span><span>What We Offer</span></span></strong><ul><li><span><span>Salary is based on experience and qualifications.</span></span></li><li><span>Ticket Allowance</span></li><li><span>Paid Annual Leave</span></li><li><span>Comprehensive Health Insurance coverage</span></li><li><span><span>Opportunity to work in a reputable university healthcare environment providing 24-hour medical services.</span></span></li><li><span><span>Professional, collaborative, and supportive work environment.</span></span></li><li><span><span>Career growth and continuous learning opportunities.</span></span></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>AWS Infrastructure Services 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>We are looking for experienced Senior Data Center Engineers/Technicians to join our Infrastructure Operations team as technical leads within Data Center Operations (DCO). As a Senior Data Center Engineer/Technician, you will serve as a subject matter expert (SME) and escalation point for complex infrastructure issues including hardware, fiber, networking, and related systems. You will mentor junior technicians, drive process improvements, and take ownership of operational excellence across your site or shift. You will independently resolve the most complex infrastructure issues and lead cross-functional troubleshooting efforts to minimize customer impact.<br>Key job responsibilities<br>Safety<br>- Champion and enforce the highest safety standards; drive a world-class safety culture across the team.<br>- Lead safety initiatives, projects, and audits to foster continuous improvement in safety performance.<br>- Adhere to all DC safety protocols during red zone (RZ) and floor operations; coach others on compliance.<br>- Conduct safety inspections, identify hazards, and implement corrective actions to maintain site compliance standards.<br>- Mentor team members on safe work practices and serve as a safety role model.<br>Data Center Operations (DCO)<br>- Diagnose and resolve complex hardware, network, and infrastructure problems with minimal supervision.<br>- Serve as the primary escalation point for issues.<br>- Troubleshoot events within internal Service Level Agreements (SLAs) and drive resolution of high-severity incidents.<br>- Perform advanced root cause analysis (RCA) of equipment failures and document findings to prevent recurrence.<br>- Manual handling and lifting of equipment up to 18 kg may be required (weight limits in accordance with regulations).<br>- Ability to work at heights as required by operational tasks.<br>- Perform and oversee a full range of DCO procedures including break-and-fix repairs, host-level decommissions (HLD), server rack decommissions (SRD), media removal, media destruction, and first responder duties.<br>- Develop, review, and improve Standard Operating Procedures (SOPs) and runbooks to enhance operational efficiency.<br>- Train and mentor junior technicians on troubleshooting methodologies, tools, and best practices.<br>Scope &amp; Decision-Making<br>- Operate across multiple process paths within the DCO team, applying deep technical knowledge to independently determine the correct course of action — including non-standard situations requiring judgment and deviation from established procedures.<br>- Make real-time operational decisions that balance speed, safety, and quality.<br>- Work is reviewed periodically by supervision; expected to operate with significant autonomy on day-to-day tasks.<br>Communication &amp; Collaboration<br>- Communicate clearly and effectively via tickets, SIMs, task tracking entries, write-ups, and post-incident reviews.<br>- Lead team meetings, present operational updates to leadership, and represent DCO in cross-functional discussions.<br>- Collaborate with partner teams (DCEO, Security, Logistics, Engineering) to resolve complex issues and drive improvements.<br>Impact &amp; Process Improvement<br>- Deliver work that directly impacts site-level and cluster-level metrics including ticket resolution, decom throughput, SLA adherence, and safety compliance.<br>- Identify, propose, and implement process improvements that drive operational excellence within DCO workflows.<br>- Own and track improvement initiatives from ideation through execution and measurement.<br>Technical Leadership &amp; Mentorship<br>- Serve as a technical mentor and on-the-job trainer for junior technicians and new hires.<br>- Lead shift operations in the absence of a manager or site lead; act as the point of contact for escalations.<br>- Support onboarding and certification of new team members through structured training and knowledge transfer.<br>Shift &amp; On-Call<br>- Must be able to support shift-based schedules including nights, weekends, and on-call rotations as required by operational needs.<br>About the team<br>Diverse Experiences<br>AWS values diverse experiences. Even if you do not meet all of the preferred 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>Why 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>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 (diversity) 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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.<br>- High School or equivalent diploma<br>- Experience in computer networking<br>- Speak, write, and read fluently in English, and have the ability to take direction in English<br>- Experience with computer hardware troubleshooting and repair, including server, storage, and networking equipment<br>- Bachelor's degree in IT, computer science or equivalent<br>- Experience in a data center or other critical environment<br>- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure, or experience troubleshooting and documenting findings<br>- Proficiency in Linux operating systems and command-line troubleshooting<br>- Experience with network protocols and fiber optic infrastructure<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>

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

<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>

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.

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We need native Arabic-United Arab Emirates (Gulf) speakers for a speech recording project. Your recordings help train AI speech recognition systems.<br> The work is straightforward. Read and record 500 short Arabic sentences using the Appen Mobile app. One session takes 1–2 hours.<br> You're paid when you finish, provided at least 90% of your recordings pass our quality review.<br> Requirements:<br><br> - Native Arabic (Gulf) speaker in United Arab Emirates<br><br> - Age 18 or older<br><br> - Smartphone compatible with the Appen Mobile app<br><br> - Ability to follow recording guidelines<br> Demographic quotas apply. Task slots depend on region capacity. We'll contact you if slots open later.<br> If selected, you'll get an email from CrowdGen to set up your account and begin the project.<br> #crowdgen<br><br><br> </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>

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)

<ul><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Manage Data Center projects from construction through testing, commissioning, and handover.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Plan and monitor project schedule,manpower, resources, and progress.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Coordinate with clients,consultants, contractors, subcontractors, vendors, and operations teams.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Manage MEP installation and ensure works are completed as per approved drawings and specifications.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Monitor project quality, safety, cost, and schedule.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Identify project risks and coordinate timely solutions.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Lead project, technical, and coordination meetings.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Manage testing, commissioning, and <strong>Integrated Systems Testing (IST)</strong>.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Coordinate with OEMs and commissioning teams.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support Uptime / Tier certification activities.</p></li><li><p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Coordinate MEP works with civil, structural, and architectural activities.</p></li></ul><p><br><br></p><p><strong>Technical Knowledge Requirement:</strong></p><p><br></p><p><strong>Electrical Systems</strong></p><ul><li><p>MV/LV systems and switchgear</p></li><li><p>UPS and battery systems</p></li><li><p>ATS/STS / PDU, RPP and busway/busbar</p></li><li><p>Generators</p></li><li><p>Earthing and lightning protection</p></li><li><p>BMS / EPMS</p></li><li><p>Critical power systems and <strong>N+1 / 2N redundancy</strong></p></li></ul><p><br></p><p><strong>Mechanical Systems</strong></p><ul><li><p>Chillers and chilled-water systems</p></li><li><p>CRAH / CRAC and In-Row cooling</p></li><li><p>Pumps and cooling towers</p></li><li><p>AHU and ventilation systems</p></li><li><p>Fire-fighting and fire suppression</p></li><li><p>BMS and mechanical controls</p></li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor's degree in mechanical or electrical engineering.</p></li><li><p><strong>PMP or equivalent project management certification is mandatory.</strong></p></li><li><p>7–10 years of overall MEP project experience.</p></li><li><p>Minimum 3 years of Data Center / Mission Critical experience.</p></li><li><p>Knowledge of Tier III / Tier IV Data Centers</p></li><li><p>Experience managing MEP contractors, subcontractors, and vendors.</p></li><li><p>Experience in testing, commisioning, IST, and project handover.</p></li><li><p>Good knowledge of <strong>MS Project / Primavera P6</strong>.</p></li><li><p>Good communication and stakeholder management skills.</p></li><li><p>Ability to manage fast-track projects and tight deadlines.</p></li><li><p>Knowledge of Uptime, NFPA, ASHRAE and IEC standards is an advantage.</p></li><li><p><strong>UAE Driving License is mandatory.</strong></p></li><li><p><strong>Immediate availability is preferred</strong></p></li></ul><br>

<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"> <p><strong><span>Data Centre Operations Manager (UAE National) (52811)<br></span></strong></p><br><br><p><strong><span>Some careers grow faster than others.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br></span></strong></p><br><br><p><strong><span>If you’re looking for further opportunities to develop your career, take the next step in fulfilling your potential right here at HSBC.<br></span></strong></p><br><br><p><span>Provide end-to-end leadership for the Middle East DCO control environment and operational governance, acting as the single senior owner for regional control oversight. The role has the mandate to challenge, gatekeep and drive delivery across multiple sites and stakeholders, ensuring the control framework is consistently designed, implemented, evidenced and continuously improved to enhance operational resilience and risk management across Middle East DCO.<br></span></p><br><br><p><span>The role delivers outcomes by setting clear directions, prioritizing key activities and coordinating effective execution through existing teams and governance forums.<br></span></p><br><br><p><strong><span>&nbsp;Duties &amp; Responsibilities:<br></span></strong></p><br><br><ul><li><span>Own end-to-end SIMQ obligations for UAE equipment rooms/data centers, including attestations, site visits, onboarding/decommissioning governance and closure of remediation actions; prioritize, escalate and gate closures to avoid overdue items.</span></li><li><span>Gatekeep and challenge RES changes affecting critical environments, ensuring risk assessments, documentation, approvals and mitigations are complete; decide whether changes proceed, require rework or must be escalated.</span></li><li><span>Deliver secure standards-compliant branch equipment rooms through refurbishments, relocations and incident recovery (e.g., fire/flood), coordinating stakeholders and vendors and making time-critical decisions while maintaining controls.</span></li><li><span>Maintain compliant governance of the legacy backup tape estate (retention, inventory, secure destruction), meeting data retention requirements and two-key controls (SERV1/DSEC7).</span></li><li><span>Partner with Protective Security (PS), Corporate Security (CS) and relevant control owners on access/security changes, providing challenge and input to protect critical environments.</span></li><li><span>Manage colocation and vendor relationships (e.g., JLL, colo providers, media destruction, cabling, maintenance) with clear expectations and “respectful authority”, ensuring delivery, compliance and remediation closure.</span></li><li><span>Support urgent operational requirements, including out-of-hours access and recovery co-ordination, balancing service continuity with control adherence.</span></li><li><span>Provide regular, clear reporting to stakeholders (RES/PS/vendors/regional management) on risks, actions, ageing items and key decisions.</span></li><li><span>Lead cross-functional delivery without additional headcount, aligning teams and suppliers to outcomes across UAE and, where in scope, Oman/Egypt.</span></li><li><span>Set and uphold control standards under time pressure, particularly during branch work and incident recovery, ensuring safety and security aren’t compromised for speed.</span></li><li><span>Coach and influence stakeholders on governance expectations (change control, access discipline, SIMQ evidence), challenging constructively and escalating when needed.</span></li><li><span>Promote inclusive, collaborative ways of working across diverse teams and locations, ensuring decisions are transparent, documented and informed by all relevant voices.</span></li><li><span>Act as the single accountable senior owner for SIMQ outcomes and critical environment operational governance for UAE sites, with regional support for access governance across UAE/Oman/Egypt as required.</span></li><li><span>Operate in a multi-site, high-risk, 24/7 environment where physical security, access control, inventory integrity and change discipline directly impact operational resilience and customer service.</span></li><li><span>Deliver through strong governance cadence (e.g., weekly RES change forums), cross-functional alignment and third-party performance management within defined policy and control guardrails, making day-to-day risk-based decisions and escalating material risks promptly.<br></span></li></ul><p><span>&nbsp;<strong>Experience &amp; Qualifications:<br></strong></span></p><br><br><ul><li><span>A graduation degree is essential for obtaining a UAE visa and work permit. If your university certificate is from outside the UAE, up-to-date attestations and equivalency are also mandatory (Recognition of Higher Education Qualifications Issued Outside The UAE)</span></li><li><span>Proven experience in critical environment operations and controls (data centers and/or equipment rooms), including physical security, site standards, asset/inventory governance and operational assurance within a regulated environment.</span></li><li><span>Strong control management capability, including leading attestations/control testing, maintaining high-quality evidence, driving remediation to closure and sustaining audit readiness across multiple sites and stakeholders.</span></li><li><span>Solid access management governance experience, including approval workflows, periodic recertification, least-privilege principles and effective handling of exceptions/risks for high-sensitivity locations.</span></li><li><span>Hands-on change governance and assurance for facilities/real estate works impacting live critical environments, including risk assessments, method statement reviews, gating decisions, dependency management and stakeholder governance.</span></li><li><span>Experience managing third parties in an operational context (e.g., colocation providers, facilities management, cabling/maintenance, secure media destruction), with clear performance oversight and control compliance.</span></li><li><span>Financial/commercial governance skills to support operations, including end-to-end PO/TPS management, invoice reconciliation and spend tracking to avoid service disruption.</span></li><li><span>Knowledge of secure media and records retention practices, including compliant retention, inventory integrity, chain of custody and secure destruction controls (including dual-control/two-key principles).</span></li><li><span>Strong stakeholder management and influencing skills, with evidence of delivering outcomes through matrixed teams (RES, Protective/Corporate Security, technology operations and vendors) without direct line authority.</span></li><li><span>Able to perform effectively under pressure, including out-of-hours support when needed, making sound risk-based decisions during incidents (e.g., fire/flood) and time-critical recovery while maintaining control standards.</span></li><li><span>Qualifications: a professional IT qualification is preferred; equivalent hands-on experience in critical environment, governance and control of leadership is acceptable.<br></span></li></ul><p><span>For further details and application information please visit our careers site, searching for reference number <strong>52811.</strong></span></p><br><br><p><span>We support our staff to adopt flexible and alternative ways of working where possible, including working from home and different hours subject to approvals.<br></span></p><br><br><p><span>HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working, and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.<br></span></p><br><br><p><span>Issued by The Hong Kong and Shanghai Banking Corporation Limited</span></p><br><br><br><br><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>

Location<br><br>London, England<br><br>Employment Type<br><br>Full time<br><br>Location Type<br><br>Hybrid<br><br>Department<br><br>ANALYTICS & DATA SCIENCE<br><br>Compensation<br><br>£95K – £115K Offers Equity<br><br>Outlined above is a reasonable estimate of H&H’s compensation range for this role for UK-based candidates. If you're based outside of the UK, your recruiter will be able to provide you with an estimated salary range for your location.<br><br>The actual amount will take into account a range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and location. H&H also offers a comprehensive Total Rewards package that may include an equity grant.<br><br>Consult with your Recruiter during any potential screening to determine a more targeted range based on location and job-related factors.<br><br>Overview Application<br><br>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.<br><br>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<br><br>About The Role:<br><br>As a Staff Data Scientist at Hims & Hers, you are a technical leader and a "force multiplier" for our data organization. You do not just solve the most difficult problems; you identify which problems are worth solving to move the needle for our customers. You will serve as a technical anchor, simplifying ambiguous problems into executable paths for the team.<br><br>In this role, you will bridge the gap between business strategy and production-ready machine learning. Whether you are building frameworks for growth, optimizing our supply chain, or refining marketing attribution, you will ensure our data products are technically sound, scalable, and built to deliver measurable business results.<br><br>You Will:<br><br>Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.<br><br>Experience & Skills:<br><br>8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, Num Py, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/Light GBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise<br><br> Preferred Qualifications:<br><br>0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following):Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.<br>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.<br><br>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.<br><br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.<br><br>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.<br><br>Compensation Range: £95K - £115K<br><br>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.<br><br>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<br><br>You Will:<br><br>Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.<br><br>Experience & Skills:<br><br>8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, Num Py, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/Light GBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise<br><br> Preferred Qualifications:<br><br>0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following):Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.<br>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.<br><br>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.<br><br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.<br><br>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.<br><br>Compensation Range: £95K - £115K<br><br>Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.<br><br>Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<br><br>You Will:<br><br>Architect the 0-to-1 Foundation: Lead the design and implementation of automated ML systems. You know how to balance "doing it right" with "doing it fast," making pragmatic architectural choices (build vs. buy, simple vs. complex) while rolling up your sleeves to write production code and establish our core ML infrastructure. Translate Business Needs: Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results Drive Execution and Reliability: Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure Connect Technical & Business Goals: Partner across Engineering, Product, and Business to ensure our technical strategy is solving the right business problems and moving our core metrics Define Technical Standards: Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates with the work of our Data and Analytics Engineering partners Own the Results: Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems Mentorship & Coaching: Actively mentor Senior and Mid-level Data Scientists, elevating the technical bar and fostering a culture of continuous learning across the data organization.<br><br>Experience & Skills:<br><br>8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact Technical Mastery: High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, Num Py, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/Light GBM) Systemic Problem Solving: Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value Leadership & Influence: Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise<br><br> Preferred Qualifications:<br><br>0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following):Customer Behavior & Propensity Modeling: Building predictive models for churn, propensity-to-buy, lead scoring, or lifetime value (LTV) to directly drive targeted marketing and product interventions. Applied Forecasting: Time-series forecasting, anomaly detection, or handling non-stationary data for demand or revenue planning. Optimization: Building engines for marketing spend, inventory management, or resource allocation. Causal Inference: Designing robust experiments (e.g., quasi-experiments, difference-in-differences) to measure true business impact beyond standard A/B testing.<br>We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match.<br><br>Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.<br><br>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.<br><br>Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.<br><br>To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.<br><br>Compensation Range: £95K - £115K

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>A Planning Engineer is responsible for developing, monitoring, and controlling project schedules to ensure the successful execution and timely completion of construction, infrastructure, industrial, EPC, and data center projects. The role involves preparing detailed project plans and baseline schedules using Primavera P6, Microsoft Project, or other planning software while establishing Work Breakdown Structures (WBS), project milestones, activity sequences, and critical paths. The Planning Engineer coordinates closely with project managers, engineering teams, procurement departments, construction teams, subcontractors, consultants, and clients to ensure that all project activities are logically planned and aligned with contractual and operational requirements. The position requires continuous monitoring of project progress against approved schedules, identifying delays, productivity issues, resource constraints, and potential risks that may affect project delivery. The Planning Engineer is responsible for preparing and updating project schedules, conducting critical path analysis, forecasting project completion dates, and recommending corrective actions or recovery plans to mitigate delays and improve overall project performance.</p><br><p>In addition to schedule management, the Planning Engineer plays a key role in project controls by analyzing manpower deployment, equipment utilization, material availability, and productivity trends. The role includes preparing weekly and monthly progress reports, S-curves, resource histograms, earned value analysis, KPI reports, and management dashboards to provide stakeholders with accurate project status information. The Planning Engineer also supports risk management and claims activities by maintaining records of delays, variations, disruptions, and scope changes, assisting in Extension of Time (EOT) claims and contractual correspondence. Strong analytical, communication, and problem-solving skills are essential, as the role requires regular interaction with multidisciplinary teams and senior management. Candidates should possess a Bachelor's Degree in Civil Engineering or a related discipline, along with proficiency in Primavera P6, Microsoft Project, and advanced Microsoft Excel. A Planning Engineer contributes significantly to project success by ensuring effective planning, proactive monitoring, efficient resource utilization, and timely decision-making, ultimately helping projects achieve their objectives within schedule, budget, quality, and safety requirements</p><br><br> </div>