Python Developer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br>About the opportunity<br><p><strong>About the Role</strong><br> We are hiring a hands-on IT Engineering Manager to own the Enterprise Applications domain — the devices, collaboration tools, and identity/access that talabat employees rely on every day — and to lead the small engineering team behind it, coordinating across our markets.</p><br><br><p>This is a working manager role: roughly 70–80% technical execution and standard-setting, and 20–30% people and delivery leadership. You will operate with a high degree of autonomy, staying close to the work while building the automation, documentation, and standards that let the function scale consistently across markets. It is a build role — you set the technical bar by doing, then make that excellence repeatable so it outlives any one person.</p><br><br><p>Your domain sits alongside other IT engineering domains, and your success depends as much on clean collaboration across those boundaries as on the depth of your own work. You will define and defend clear ownership of your systems while partnering openly with adjacent teams who depend on them. You will cultivate strong vendor relationships and drive strategic partnerships that enhance application functionality and support — a single quote is a starting point, not a decision.</p><br><br><p>Scope boundary: This role owns corporate and employee-facing IT (the digital workplace), including identity and endpoint end-to-end, which adjacent IT teams consume. It does not own product, ordering, or operational (rider/vendor-facing) systems, which sit with separate engineering functions. Where core platforms are provided centrally by Delivery Hero, this role owns the local instances and acts as talabat's engineering interface to those central teams.</p><br><br><p><strong>What You'll Own</strong></p><br><br><p>Endpoint &amp; Device Management</p><br><br><p>Own endpoint fleet strategy across macOS and Windows — MDM (Jamf, Intune, Jump Cloud), security baselines, patching, encryption, inventory, and the full device lifecycle from procurement and provisioning through to offboarding and asset recovery. Maintain endpoint posture in partnership with Security.</p><br><br><p>SaaS Administration</p><br><br><p>Own day-to-day administration of the core SaaS stack — Google Workspace, Slack, Atlassian, and similar — including configuration, license management, integrations, cost optimization, and strategic licensing negotiations with vendors. Evaluate and onboard new business tools, retire redundant ones, and operate the local instances of centrally provided platforms. Drive Power User Community deployment and management across entities where applicable.</p><br><br><p>Identity &amp; Access</p><br><br><p>Administer SSO, MFA, and identity providers (Okta, Entra, Google or similar), operating local instances and interfacing with the central identity platform. Own the Joiner-Mover-Leaver lifecycle — provisioning, deprovisioning, role-based access, least-privilege, and periodic access reviews — automated wherever possible.</p><br><br><p>Automation &amp; AI (a core expectation, not a future investment)</p><br><br><p>Engineer away repetitive work: if a task is done the same way more than twice, automate it. Scripting (Python, Bash, PowerShell) and AI tooling are current expectations of this role. Use automation and AI to create team capacity without growing headcount, and lead the team's adoption of these tools.</p><br><br><p>Incident Response &amp; Reliability</p><br><br><p>Own incident response and the on-call rotation for your domain. Act as escalation point during peak and out-of-hours periods, run proactive incident communication, and drive root-cause resolution rather than recurring workarounds. Participate in cross-domain incident coordination where issues span into adjacent IT teams. Build reliability and security in by design — every system has a clear answer to "what happens when this fails?"</p><br><br><p>Service, Compliance &amp; Standards</p><br><br><p>Define and track IT service standards, SLAs, and operational metrics, and run ticketing/ITSM workflows that reduce friction for employees. Ensure a consistent support model across locations and time zones, adhering to agreed service levels. Champion change management practices to ensure seamless application delivery and effective transitions. Contribute to compliance and audit readiness (e.g. SOC 2 / ISO 27001 IT controls, access reviews, evidence) in partnership with Security and central teams. Standardize before scaling — build solutions that work across all markets on a shared foundation, allowing local flavor without fragmenting the stack.</p><br><br><p>Leadership, People &amp; Vendors</p><br><br><p>Lead, coach, and raise the technical bar of a small IT engineering team, with a mandate to grow both its capability and its headcount. Set the standard hands-on, develop your engineers, and manage performance fairly and decisively — investing genuinely in growth, and making the hard call when the bar cannot be met. Provide mentorship to team members, promote knowledge sharing and professional growth. Create and maintain runbooks, training materials, and self-service resources so knowledge is never trapped in one person's head. Manage vendors, procurement, and renewals — actively challenge cost and drive strategic partnerships rather than transactional relationships.</p><br><br><br>What you need to be successful<br><p><strong>What You'll Bring</strong></p><br><br><ul><li><p>5–7+ years in IT operations, IT engineering, or corporate IT, with hands-on depth across endpoint, SaaS, and identity — including organisations with 5,000+ users.</p><br><br></li><li><p>Hands-on expertise with MDM (Jamf / Intune / jumpcloud), identity providers (Okta / Entra), and SaaS administration (Google Workspace, Slack, Atlassian).</p><br><br></li><li><p>Demonstrated scripting and automation ability, and daily use of AI tooling in real work — with concrete examples of what you have built or adopted.</p><br><br></li><li><p>Proven expertise in business process analysis, requirements gathering, solution design, and vendor management — including cost-effective licensing negotiation.</p><br><br></li><li><p>A track record of leading or mentoring a small team and raising its operating standard. People-leadership appetite is required; formal management experience is welcome.</p><br><br></li><li><p>Strong project management skills, with a track record of delivering complex projects on time and within budget across multiple concurrent workstreams.</p><br><br></li><li><p>Proven ability to operate autonomously with limited managerial oversight — self-directed on priorities, delivery, and standard-setting.</p><br><br></li><li><p>A track record of defining and defending clear domain ownership while collaborating openly with adjacent teams.</p><br><br></li><li><p>A strong customer-focus mindset toward employees — you treat how IT feels to use as the measure of success, speak in plain language, and never say no to the person without offering an alternative.</p><br><br></li><li><p>Exceptional communication and interpersonal skills, with the ability to build strong relationships and influence without authority across teams and senior stakeholders.</p><br><br></li><li><p>A documentation-first working style and comfort operating where a central platform team owns core systems and you own the local layer and the interface.</p><br><br></li><li><p>Deep understanding of enterprise application security best practices.</p><br><br></li></ul><br>Who we are<br><p><strong>A little bit about talabat</strong><br> <br> talabat is the leading online food and groceries ordering platform in MENA, operating in 9 countries<br> across the region. Founded in 2004 by a small group of entrepreneurs in Kuwait, talabat’s success<br> expanded to the rest of the GCC region, Egypt &amp; Jordan, making it the largest and most popular food<br> ordering app. With over 2,000+ employees and millions of users, we deliver hundreds of thousands<br> of orders every day.We are part of the Delivery Hero network building the next generation of online delivery platforms across the globe. Our network is truly international with engineering teams in 13 countries and<br> operations in 40+ countries.</p><br><br> <br><br> </div>

Location: North America Remote/SF-Hybrid<br><br> Full-Time<br><br>About Andromeda<br><br>Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers.<br><br>We began with a single managed cluster — but it filled almost instantly. Since then, we’ve been quietly building the systems, network, and orchestration layer that makes the world’s AI infrastructure more accessible.<br><br>Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our platform routes training and inference jobs across global supply, unlocking flexibility and efficiency in one of the fastest-growing markets on earth.<br><br>Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.<br><br>The Role<br><br>This is not a generalist SRE role, and it is not a support role. You will embed directly with the teams running large-scale training and inference on our clusters. You are responsible for onboarding them, tuning their jobs, and debugging their failures alongside them, while owning the infrastructure and automation that makes those clusters reliable in the first place.<br><br>Forward deployed means you spend real time inside customer environments: reading their training code, sitting in their Slack channels, watching their runs, and shipping fixes that land in our platform. When a multi-hundred-GPU run stalls, you are the person who figures out whether it's the fabric, the driver, the scheduler, or their dataloader, then you make sure it can't happen the same way twice.<br><br>We're looking for engineers who have personally run GPU clusters in production, understand the failure modes of distributed training, and can reason about performance from network fabric → kernel → framework. Equally important: you can explain what you found to someone else's engineering team without condescension, and turn that conversation into a product improvement.<br><br>What You’ll Do<br><br>Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path.<br><br>What We’re Looking For<br><br>Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems.<br><br>Strong Candidates May Have<br><br>Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler.<br><br>What Success Looks Like<br><br>By the end of your first year:<br><br>You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped.<br><br>Why You’ll Love It Here<br><br>High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.<br><br>Forward Deployed Engineer - SRE<br><br>Location: North America Remote/SF-Hybrid<br><br> Full-Time<br><br>What You’ll Do<br><br>Serve as the primary technical point of contact for teams running large-scale training and inference workloads. Own onboarding end to end; environment setup, orchestration choice (Slurm, Kubernetes, or direct SSH), storage layout, first successful run at scale. You will continue to stay engaged as their workloads grow. Work inside customer environments to diagnose real failures: NCCL timeouts, stragglers, checkpoint I/O stalls, degraded links, OOM patterns, container and driver mismatches. Read their code when you need to. Reproduce, isolate, fix, and write it down. Profile and improve distributed training performance on live workloads. Improving MFU, cutting idle GPU time, and reducing time-to-first-successful-run for new deployments. Own reliability outcomes for the accounts you're deployed on. Ensure the health and performance of high-speed interconnects (Infini Band, RoCE, NVLink) that underpin distributed training. Diagnose and resolve fabric-level issues that degrade collective operations. Build deep visibility into GPU utilization, memory pressure, interconnect throughput, job performance, and hardware health. Turn every repeated deployment problem into automation: cluster provisioning, GPU health checks and burn-in, preflight validation, self-healing, firmware/driver lifecycle management, and reusable reference configurations for common training and serving stacks. Lead incident response for complex, multi-layer failures spanning hardware, networking, orchestration, and ML frameworks. Own the customer-facing communication during the incident and the blameless postmortem and systemic fix after it. You will see our rough edges before anyone else does. Bring that signal back to influence the roadmap, file the hard bugs, and build the missing pieces yourself when that's the fastest path.<br><br>What We’re Looking For<br><br>Hands-on experience operating GPU clusters in production (NVIDIA A100/H100/H200/B200 or equivalent). You understand GPU memory hierarchies, ECC behavior, thermal throttling, and hardware failure modes from direct experience. Production experience with Infini Band, RoCE, or NVLink fabrics in the context of distributed training. You can diagnose why an all-reduce is slow, identify a degraded link in a fat-tree topology, and reason about congestion control at scale. Working knowledge of how large training and inference jobs actually run. You don't need to design models, but you need to understand what's happening at the systems level when a large run stalls. Expert-level Linux experience: kernel tuning, driver management (NVIDIA drivers, CUDA toolkit), cgroup/namespace internals, container runtimes, and performance profiling at the syscall and hardware level. Strong experience running Kubernetes in production with GPU workloads. Experience with device plugins, topology-aware scheduling, multi-cluster, custom operators. Experience with Slurm or other HPC schedulers is equally valued. Strong engineering skills in Python, Go, or Bash. You build production-grade tools and services, not just scripts. Infrastructure-as-Code proficiency (Terraform, Helm, Ansible, or equivalent). Hands-on experience building monitoring and alerting for GPU-specific telemetry (DCGM, nvidia-smi, fabric manager metrics) integrated into actionable dashboards. You can go deep on architecture with a customer's infra team and clearly articulate tradeoffs to their leadership. You're comfortable being the only one in the room who knows the answer, and equally comfortable saying you don't yet. Proven track record leading incident response for complex distributed systems.<br><br>Strong Candidates May Have<br><br>Experience with high-performance parallel file systems (VAST, WEKA, Lustre, GPFS) and the checkpoint I/O and data-loading bottlenecks that come with large training runs. Time spent embedded with external engineering teams, i.e solutions architecture, professional services, deployed SRE, or technical account ownership at an infrastructure company. Experience operating production inference. Hands on experience with autoscaling, batching, KV cache behavior, cold starts, and multi-tenant GPU sharing. Contributions to relevant OSS projects, or benchmarks, postmortems, and deep-dives you've published. Experience working across heterogeneous providers and regions rather than a single hyperscaler.<br><br>By The End Of Your First Year:<br><br>You know each of your accounts' actual technical goals including what they're training, what their scaling roadmap looks like over the next two quarters, what their real constraints are (budget, deadline, headcount, data), and you've written that down somewhere the rest of us can read it. You are the person your accounts' engineers message first, before they file a ticket, because you've earned it. Their reliability and throughput numbers are visibly better than at onboarding, and you can point to the specific changes that did it. Recurring problems you found in the field exist as automation, preflight checks, or documentation, not as tribal knowledge in your head. You've advocated internally for at least one roadmap change on behalf of a strategic customer, and it shipped.<br><br>Why You’ll Love It Here<br><br>High-growth environment: Get in early at a company at the center of the AI infrastructure boom Ownership: First FDE for the solutions engineering team, you’ll get to build this function from the ground up Competitive compensation: + meaningful equity Comprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO<br><br>Andromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><u><b>Job Description:</b></u></p><br><p><span>DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.&nbsp;</span></p><br><p>The <b>Pre-Sales Senior AI Solutions Engineer </b>plays a pivotal role in helping enterprise customers see, feel, and believe in the value of agentic AI and ML platforms. Sitting at the intersection of business strategy, AI application design, and polished execution, your primary mission is to rapidly build enterprise-grade MVP agentic AI applications. You will partner with prospective customers and sales teams to map loosely defined problems into compelling, production‑inspired prototypes. These MVPs serve as credible, extensible foundations that showcase technical depth and accelerate time-to-value, acting as the bridge between immediate problem-solving and long-term platform adoption.</p><br><p><b>Key Responsibilities</b><br>Business-to-Technical Translation &amp; Problem Understanding</p><br><ul><li><p>Partner with Sales Teams: Understand customer missions, strategic priorities, and constraints through short discovery sessions.</p><br></li><li><p>Map Capabilities: Translate business needs into platform capabilities, tailoring messaging for different personas (CIO, CTO, Chief Data Officer, program leads, technical practitioners).</p><br></li><li><p>Identify Value: Pinpoint high-leverage automation and decision points where agentic AI can create immediate, visible value, translating ambiguous problems into clear user journeys and agent responsibilities.</p><br></li></ul><p>Agentic AI Solution Design &amp; Prototyping</p><br><ul><li><p>Rapid MVP Build: Design and implement end-to-end agentic AI MVPs, including multi-agent orchestration, tool use, memory, Model Context Protocol (MCP) servers, and agent observability.</p><br></li><li><p>Deployment Readiness: Define key technical requirements, recommend deployment models meeting specific security mandates, and advise on data readiness to ensure quick time-to-value for new and expansion opportunities.</p><br></li><li><p>Frontend &amp; UX: Build intuitive, enterprise‑grade UIs using React and modern design systems (e.g., shadcn/ui) to communicate agent behavior transparently.</p><br></li><li><p>Architectural Soundness: Select and integrate appropriate LLMs, frameworks, and agent architecture to balance speed, cost, and explainability while establishing scalable platform foundations.</p><br></li></ul><p>Demo Execution &amp; Sales Collaboration</p><br><ul><li><p>Outcome-Oriented Demos: Deliver engaging live demos that tell a clear story: problem → agentic solution → business impact. Help shape and refine use cases based on account maturity and strategic alignment.</p><br></li><li><p>Trusted Advisor: Act as a technical pillar across the sales team, supporting Account Executives, Strategic Account Directors, and BDRs with knowledge and assets that advance AI adoption.</p><br></li><li><p>Iterative Refinement: Iterate rapidly based on customer feedback during pilots, workshops, or proofs of value (POVs).</p><br></li></ul><p>Cross-Functional Feedback &amp; Compliance Alignment</p><br><ul><li><p>Security &amp; Governance: Support conversations around AI governance, data security, model transparency, and responsible AI practices in alignment with regulations.</p><br></li><li><p>Internal Feedback Loop: Provide structured feedback on customer needs, procurement hurdles, and architectural gaps to Product, Marketing, and Enablement teams to keep offerings relevant.</p><br></li><li><p>Reusable Assets: Contribute reusable patterns, templates, and internal best practices to accelerate future MVP delivery and platform selling.</p><br></li></ul><p><b>Knowledge, Skills, and Abilities</b><br>Pre-Sales &amp; Platform Selling Experience</p><br><ul><li><p>Demonstrated success supporting sales pursuits (new logos and account expansion) with deep technical expertise and solution design.</p><br></li><li><p>Strong ability to translate agentic AI and ML platform capabilities into compelling value propositions.</p><br></li><li><p>Prior experience turning rapid MVPs into production applications or long‑term enterprise platforms.</p><br></li></ul><p>Core Technical Skills</p><br><ul><li><p>Hands-on experience building agentic AI applications using modern LLM frameworks, orchestration patterns, and backend engineering (Python, TypeScript, APIs).</p><br></li><li><p>Experience designing MCP servers, external system integrations, and utilizing AI evaluation/tracing tools.</p><br></li><li><p>Proficiency with React and modern frontend tooling to create clean, trustworthy user interfaces.</p><br></li></ul><p>Problem Solving &amp; Communication</p><br><ul><li><p>Excellent communication and demo skills; proven ability to present complex AI concepts in a clear, grounded, and value-driven manner to both mission leaders and technical stakeholders.</p><br></li><li><p>Exceptional ability to move from ambiguity to clarity quickly.</p><br></li><li><p>Bias toward action and iteration; comfortable working in a fast-paced environment with evolving product offerings and shipping imperfect but compelling MVPs fast.</p><br></li></ul><p><b>Education &amp; Experience</b></p><br><ul><li><p>6-8+ years of experience in sales engineering, applied AI, hands-on technical consulting, customer-facing software engineering, or technical product roles.</p><br></li><li><p>Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). An advanced degree in AI/ML is a plus.</p><br></li><li><p>Prior experience applying AI or complex software solutions within the Oil &amp; Gas industry is a strong plus.</p><br></li><li><p>Ability to travel up to 25% on average to customer meetings, workshops, industry conferences, and events.</p><br></li></ul><p><span>The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</span></p><br><p><u><b>DataRobot Operating Principles:</b></u></p><br><ul><li>Wow Our Customers</li><li>Set High Standards</li><li>Be Better Than Yesterday</li><li>Be Rigorous</li><li>Assume Positive Intent</li><li>Have the Tough Conversations</li><li>Be Better Together</li><li>Debate, Decide, Commit</li><li>Deliver Results</li><li>Overcommunicate</li></ul><p><br><span>Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. <b>At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.</b> We’d love to have a conversation with you and see if you might be a great fit.&nbsp; </span></p><br><p><span>DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.</span></p><br><br><p><b>Use of Artificial Intelligence in Our Hiring Process</b></p><br><br><p>DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.<br></p><br><p><span>All applicant data submitted is handled in accordance with our </span>Applicant Privacy Policy<span>.</span></p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>With over 14,000 professionals globally, GHD is a leading multidisciplinary professional services company delivering engineering, design, and advisory solutions across water, energy, resources, environment, property &amp; buildings, and transportation sectors.</p><br><p><strong>Energy Overview</strong></p><br><p>Energy systems across the Middle East are evolving rapidly. Strong demand growth, major infrastructure investment, increasing renewable energy deployment and the growing need for storage, flexibility and digital solutions are creating new and complex requirements for how energy is planned, delivered and managed.</p><br><p>In response to this transforming landscape, GHD is bringing together regional insight and global technical expertise to help utilities, governments, developers and major energy users address these challenges. Our work spans electricity networks, renewable energy, utility-scale battery energy storage systems (BESS), energy strategy and advisory, technical due diligence, regulatory support, grid integration, demand-side flexibility, and the energy needs of critical sectors such as data centres and water infrastructure, supporting clients throughout the lifecycle of their energy assets and systems.</p><br><p>To strengthen GHD’s response and support the continued growth of our Middle East Energy team, we are looking for highly motivated professionals who bring sound technical judgement to help us deliver reliable, resilient, and lower-carbon solutions that create lasting benefits for our communities.</p><br><p><strong>Position Overview</strong></p><br><p>As a Senior Energy Consultant, you will lead and contribute to GHD’s energy sector work across the Middle East, applying your experience across electricity networks, renewable energy, energy storage, system integration, energy strategy and technical advisory.</p><br><p>You will independently deliver and coordinate technical work, integrate multidisciplinary inputs and translate complex engineering matters into clear findings and practical recommendations. Assignments may span feasibility and options studies, network and substation design and delivery, technical and techno-economic assessments, due diligence, Owner’s Engineer services, procurement support and construction-stage services.</p><br><p>The role combines technical delivery with project coordination, client engagement, proposal development and the mentoring of junior professionals.</p><br><p><strong>Key Responsibilities</strong></p><br><ul><li>Contribute to multidisciplinary energy projects across electricity networks,</li><li>&nbsp;Contribute to the business plan for Energy growth strategy in the Middle East with local leadership.</li><li>Lead and contribute to business development activities and leading proposals to provide technical support to win and deliver projects.</li><li>Lead and contribute to multidisciplinary technical workstreams across electricity networks, renewable energy, energy storage, system integration, energy strategy and related infrastructure.</li><li>Deliver feasibility and options studies, engineering assessments and technical advisory assignments from initial scoping through to final recommendations.</li><li>Assess project requirements, technical configurations, technology options, operational constraints and interfaces with existing infrastructure.</li><li>Undertake, review or coordinate relevant technical analyses, including power-system, grid-integration, energy-modelling and techno-economic studies.</li><li>Support the planning, design and delivery of electricity network and substation projects, including option selection, design coordination, technical specifications, equipment interfaces, procurement and construction-stage input.</li><li>Review designs, calculations, specifications, equipment data and technical documentation for alignment with project requirements, applicable standards and good industry practice.</li><li>Deliver technical due diligence and Owner’s Engineer assignments by evaluating technical, delivery and operational risks and developing proportionate recommendations.</li><li>Coordinate multidisciplinary inputs and engage confidently with clients, utilities, developers, contractors and other project stakeholders.</li><li>Manage assigned scopes in accordance with agreed programme, budget, quality, governance and health and safety requirements, including serving in a project manager role for projects.</li><li>Prepare and review clear technical deliverables and support proposals, client development and other business development activities.</li><li>Mentor junior professionals through technical review, coaching and knowledge sharing.&nbsp;</li><li>Maintain external relationships with industry peers, OEMs, Contractors, and Clients.</li><li>Contribute to the consistent application and continuous improvement of technical tools, methods and delivery standards.</li></ul><p><strong>Experience &amp; Qualifications</strong></p><br><ul><li>Bachelor’s degree in Electrical, Energy or Power Engineering, or a related discipline. A relevant postgraduate qualification would be advantageous.</li><li>Minimum of eight (8) years of relevant experience in consulting, utilities, project development, engineering, EPC, Owner’s Engineer or technical advisory environments.</li><li>Demonstrated technical depth in one or more areas such as electricity networks and substations, renewable energy, energy storage, grid connection, system integration, energy modelling, energy strategy, due diligence or project delivery, together with the ability to coordinate interfaces across disciplines.</li><li>Ability to interpret complex technical information, identify material issues and develop clear, evidence-based recommendations.</li><li>Good understanding of relevant international standards and engineering practices. Experience with Middle East utilities, regulatory frameworks or project-delivery environments would be highly regarded.</li><li>Experience using, reviewing or directing work undertaken with relevant engineering, modelling or data-analysis tools, such as DIgSILENT PowerFactory, ETAP, PSS®E, PSCAD, PLEXOS, Python or similar platforms, as relevant to the candidate’s technical specialism.</li><li>Strong written, presentation and client-facing communication skills, with the ability to explain complex matters clearly and contribute to proposals and business development.</li><li>Good interpersonal skills; e.g., relate well to colleagues, clients and business contacts, and can influence them to achieve positive results</li><li>Strong record of delivering technical excellence</li><li>Proven experience coordinating multidisciplinary teams, managing concurrent assignments and exercising sound technical, commercial and professional judgement.</li><li>Chartered Engineer status, or progress towards an equivalent recognised professional accreditation, would be advantageous.</li><li>Fluency in written and spoken English is required. Occasional regional or international travel may be required.</li></ul><p><strong>Why Join Us?</strong></p><br><ul><li>The opportunity to lead significant energy and infrastructure projects across the Middle East, working directly with utilities, governments, developers, investors and major energy users.&nbsp;</li><li>Access to GHD’s regional and global specialists across networks, renewables, energy storage, advisory and project delivery.&nbsp;</li><li>A platform to strengthen your technical leadership, project management and client relationship capabilities.&nbsp;</li><li>The opportunity to shape GHD’s regional Energy capability</li><li>Structured professional development, mentoring and opportunities to work towards professional accreditation.</li><li>An inclusive environment that values collaboration, technical quality and continuous learning.</li><li>Join a team that values knowledge-sharing, mentorship, and professional excellence.</li><li><strong>Be part of a workplace that combines collaboration, flexibility, and connection. Join us in the office three days per week to contribute, connect and excel in our vibrant environment.</strong></li></ul><br> </div>

Location: Abu Dhabi, United Arab Emirates<br><br>In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.<br><br>Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi’s airport.<br><br>OUR OPPORTUNITY<br><br>Every day, hundreds of thousands of airplanes take off and land around the world, and millions of passengers hope to arrive at their destination quickly, safely, and without delay.<br><br>As a global leader in Air Traffic Management, Thales AMS's software and hardware systems are deployed in 170 countries.<br><br>Top Sky - Flow Manager relies on Thales’ ATC, Safety and Security unique expertise in Air Traffic Management to help Air Navigation Service Providers monitor and regulate air traffic flows by managing the allocation of departure slots, arrival times, and en-route delays to prevent congestion and maintain safe and efficient operations within the airspace system.<br><br>Thales and our partner are joining efforts to establish a new development center in the UAE. This collaboration aims to accelerate the development of advanced ATFM features within the Top Sky - Flow Manager suite and to deploy this new generation of ATFM services in this rapidly growing air traffic region<br><br>JOB OBJECTIV<br><br>This role will directly report to the onshore Software Engineering Manager for the assigned project within the UAE.<br><br>The Software Engineer must proactively work within an agile team on a service-oriented architecture.<br><br>He must have practical understanding, be force of proposal,be open to change, continuously improving his technical skills and like to work in an agile environment.<br><br>You will contribute to the solution definition and development, in close collaboration with Product Owner and the Teach Lead of the team in UAE by:<br><br>Contributing of the transformation of some business needs to Technical Req and give inputs for planning together with the team members,Participate to the design and development of services, components by collaborating with other software solutions engineer to share knowledge and improve overall product/solution<br><br><br>Roles & Responsibilities<br><br>The Software Engineer must have the following competencies:<br><br>Implement Rich web interface development (Java Script, HTML-5, CSS3, Vue JS, Angular ) Implement Software components developments (Java, Maven, Vert. X, , Spring Boot, REST) Take part in Continuous Integration Responsibility (Jenkins, Maven, Artifactory, Git, Jira, Sonar) Have ownership of his code, participate in the deployment and accompany it to production (practice in Ansible, Bash, SSH, Linux, Docker) Be an Active part of the Agile team Ensure the Code best practices and rules, TDD, time commitments. Participate on technical decisions and be able to defend and justify his own and the team choices Be the go to person for technical challenges Write high quality documents (e.g. technical documents, Low Level Design, ICD, High Level Designs, How-To documents, Software Requirement Specifications etc.) Adhere to project schedule, strategies, policies and constraints<br><br><br>Work Experience Requirements<br><br>The candidate must have rich hands-on experience in JAVA development and Java Script frameworks (one of Angular, React JS or Vue JS).<br><br>Master’s or Bachelor degree from an Engineering school and3+ years experience in development with high fluency in Java and Web user interface development.2+ years of Experience with Docker and Kubernetes technologies2+ Experience of Web protocols and technologies, RESTful Web services A pre-requisite is a strong knowledge of different architectural paradigms, including SOA and micro service, cloud native architectures, Dev Ops, SDLC and OOP Design best practices. Demonstrable experience in using tools related to Agile Software development and Dev OPS: GIT, Ansible, Docker, JIRA, Jenkins, Artifactory and similar. Must have technical writing experience (in English) and ability to produce high quality documents. Must be fluent in English Knowledge and experience of Linux System is mandatory Knowledge and experience of Databases and SQL is mandatory Candidates with additional knowledge in Python, C, C++ will be considered seriously.<br><br><br>Qualification, Certification & Educational Requirements<br><br>A bachelor’s or master’s in science degree standard or equivalent experience in a Software development environment Must have high fluency in spoken and written English (Candidates also fluent in French or/and Arabic will be preferred). Certifications in JAVA, Linux, Dev Ops toolset and Agile are preferred<br><br><br>Preferred Skills / Experience<br><br>A working experience with Air Trafic Conctrol or in Avionic constraints environment would be beneficial.<br><br>Hse Responsibilities<br><br>Take care of your own safety and the safety of others as far as it is practicable<br><br>To use safety equipment (including PPE) as required and intended<br><br>At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and Retrieval-Augmented Generation (RAG) .<br> The successful candidate will be responsible for building intelligent AI agents and workflows capable of reasoning, planning, task execution, and orchestration while ensuring all solutions are deployed in an on-premises environment using local AI models and tools.<br> Key Responsibilities Gather, analyze, and translate business requirements into scalable AI and Agentic AI solutions.<br> Design, develop, test, deploy, and maintain AI-powered applications and autonomous AI agents.<br> Build Agentic AI workflows capable of reasoning, planning, task execution, and orchestration.<br> Develop and integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures.<br> Integrate AI solutions with enterprise applications, APIs, databases, cloud services, and on-premises systems.<br> Optimize AI models, prompts, workflows, and application performance.<br> Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.<br> Prepare technical documentation, deployment guides, operational manuals, and knowledge transfer materials.<br> Provide technical support, troubleshooting, performance tuning, and continuous improvements.<br> Design and implement AI solutions using on-premises infrastructure, local models, and enterprise-approved AI tools .<br> Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.<br> 5+ years of software development experience, including 2+ years working with AI/Generative AI technologies.<br> Strong experience with Python and AI application development.<br> Hands-on experience with Large Language Models (LLMs) and prompt engineering.<br> Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.<br> Experience building Agentic AI or multi-agent systems.<br> Experience integrating AI applications with REST APIs , databases, and enterprise applications.<br> Familiarity with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen , or similar.<br> Experience working with vector databases such as Milvus, ChromaDB, FAISS, Pinecone , or equivalent.<br> Knowledge of model deployment using Ollama, vLLM, Hugging Face Transformers, NVIDIA NIM , or similar on-premises inference platforms.<br> Experience deploying and managing AI solutions in on-premises environments .<br> Understanding of AI security, governance, privacy, and Responsible AI principles.<br> Experience with Docker, Kubernetes, Git, and CI/CD pipelines is preferred.<br> Strong analytical, problem-solving, communication, and documentation skills.<br> Preferred Skills Experience with open-source LLMs such as Llama, Mistral, Qwen, Gemma, or DeepSeek .<br> Experience with GPU infrastructure and AI model optimization.<br> Knowledge of MLOps practices and AI monitoring.<br> Experience integrating AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, or other enterprise systems.<br> Experience working in highly secure or regulated enterprise environments.<br> This JD is aligned with your requirement that all AI use cases must run on-premises using local models and on-premises tools , making it suitable for enterprise or government projects.<br></span> </div>

Job Description<br><br>We're not hiring a security engineer to keep up with threats. We're hiring someone to make threats irrelevant before they become incidents.<br><br>We're looking for a Red Team Lead/Operator who thinks like an adversary, not an auditor. Someone who continuously emulates real-world attackers, challenges assumptions, and exposes the gaps that automated defenses miss. You'll lead offensive security operations across our infrastructure, applications, cloud, and people - turning every engagement into detections, automation, and resilience. The goal isn't to prove we can be breached. It's to make the platform smarter with every attack.<br><br>Why This Matters<br><br>Deriv's mission is Trading for Anyone, Anywhere, Anytime. Millions of traders across the globe, around the clock, across regulatory environments. At this scale, a misconfigured WAF rule or undetected lateral movement isn't a technical inconvenience - it's a trader's funds at risk and a regulator on the phone.<br><br>Our Security Operations team isn't defending a perimeter. We're protecting a living, distributed system that processes transactions 24/7. When the threat surface never sleeps, your detection and response capabilities can't either - which is exactly why we're embedding AI and automation at every layer of the security stack.<br><br>The Challenge<br><br>$600B moves through this platform every month. That kind of scale attracts real adversaries: state-sponsored crews, financially motivated groups, insiders. Not hypothetical threat models, actual ones, actively working against us.<br><br>That's the environment. Not a lab. Not a CTF. A live financial platform under real pressure, defended by a security org that runs its own incident response instead of reading about breaches in the news.<br><br>We need someone who can operate like the people already trying to get in. Full kill chain, no shortcuts, no "we found SQLi and called it a day" energy.<br><br>If your idea of a challenging week is a scoped web app pentest with a checklist, this isn't for you. If you want to run against cloud, identity, source code, and now AI agents with tool access and memory, keep reading.<br><br>Why Deriv<br><br>We already run our own incident response and purple-team our findings straight into detections, not a compliance exercise, an active discipline with real fallout when it's wrong. Our security org is starting to red-team AI agents with tool access and memory, work most companies haven't figured out how to even scope yet. You'll get hands-on production experience that would take far longer to accumulate at a single-product company.<br><br>We share what we learn. Deriv is where we write about what we're building, what breaks, and what we figure out the hard way.<br><br>What You’ll Do<br><br>Plan and execute full-kill-chain red team engagements: initial access, privilege escalation, lateral movement, persistence, and objective completion, mapped to MITRE ATT&CKDesign and run social engineering and physical/insider threat simulations, informed by real-world TTPsAttack cloud environments, Kubernetes, and CI/CD pipelines, identifying misconfigurations and privilege escalation paths before real attackers do Conduct source code analysis and application-layer exploitation against trading, payments, and internal platforms Red-team our AI agent stack: prompt injection, tool-calling abuse, agent-to-agent trust boundaries, and credential exposure in agentic workflows Build and maintain custom tooling, C2 infrastructure, and payloads that evade modern detection stacks Write engagement reports and executive summaries that lead to actual remediation, not shelf-ware Partner with SOC and Threat Hunting to run purple-team exercises, closing detection gaps you exploited Mentor L1/L2 operators and contribute to the offensive security capability roadmap <br><br>Who You Are<br><br>6+ years doing actual offensive security. Full-scope red team, not a string of scoped pentests OSCP required. OSCE, OSEP, OSED, CRTO or equivalent adversary simulation cert gets you a real look Real depth in at least three of: internal AD/network exploitation, cloud attack paths (AWS/GCP), web/API exploitation, custom C2 development, social engineering/physical, mobile You can write your own tooling and implants in Python, Go, or Rust. Not just running Cobalt Strike out of the box You've operated against modern EDR-instrumented environments and know what it actually takes to not get caught You understand blast radius in a regulated fintech and know how to break things without breaking the business You can write a report that gets fixed, not filed<br><br>The Honest Reality<br><br>You'll sit inside a Security & AI Engineering org that treats offensive security as a real discipline, not a line item for the compliance audit.<br><br>You'll work across Dubai and Malaysia with a team that runs actual incident response, not tabletop exercises with fake scenarios.<br><br>You'll have a direct line from finding a hole to it getting closed, and room to build the tooling and run the engagements that shape how we red-team the AI agents everyone else is still figuring out how to even think about.<br><br>Job Details<br><br>Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: https://www.deriv.com/careers Job Function: Information Technology (IT) Company Industry/<br><br>Sector: Other<br><br>What We Offer<br><br>About The Company<br><br>Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.<br><br>Report<br><br>Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.

Responsibilities<br><br>About the Team<br><br>We are upgrading the traditional procurement system into an AI-native procurement platform, with a strong focus on building Procurement Agents. As part of Byte Dance's Corporate Information department, we design and operate corporate service systems that support the company's global business growth and improve the day-to-day work efficiency and experience of employees worldwide.<br><br>Procurement is a complex, high-value domain full of long workflows, rich business rules, and real decision-making. It is one of the most promising places to apply cutting-edge AI Agent technologies to real, large-scale problems. We are reimagining how employees and business partners interact with procurement through intelligent agents, and building the underlying System AI Harness that lets agents plan, act, and deliver reliably.<br><br>As an intern, you will work alongside experienced engineers at the frontier of AI Agent engineering, get hands-on with real problems from day one, and receive mentorship to grow quickly. It is a great opportunity to explore emerging AI technologies, learn how a complex business domain works end to end, and make a real contribution during your internship.<br><br>We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.<br><br>Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.<br><br>Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.<br><br>Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.<br><br>Online Assessment<br><br>Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.<br><br>Responsibilities<br><br> Support the construction and cutting-edge exploration of Procurement Agents and the System AI Harness, contributing to feature design, implementation, and validation under the guidance of your mentor. Develop and maintain services, business logic, and data flows that power AI-native procurement, with attention to code quality and reliability. Explore AI Agent capabilities — such as planning, tool use, memory, and multi-step reasoning — and help turn them into working features that solve real procurement problems. Build quick prototypes, experiment with emerging AI techniques, and help translate promising ideas into practical product capabilities. Collaborate with product managers, designers, and engineers to break down problems and deliver complete solutions.<br><br><br>Qualifications<br><br>Minimum Qualifications<br><br> Currently enrolled in a bachelor's, master's, or PhD program in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electronic/Information Engineering, Mathematics, or a related field, with a solid academic record. Able to intern for a continuous period (ideally 3 months or more) and available for at least 3 days per week. Solid foundation in data structures, algorithms, and software engineering fundamentals from coursework or projects. Proficiency in at least one programming language (Golang / Java / Python), with good coding habits. Strong logical thinking, fast learning ability, and excellent independent thinking and problem-breakdown skills. Genuine curiosity and passion for exploring and applying frontier AI technologies; prior professional work experience is not required.<br><br><br>Preferred Qualifications<br><br> Coursework, research, or personal projects related to AI / machine learning / large language models. Prior internship, lab, open-source, or personal project experience demonstrating hands-on ownership of a non-trivial system (a strong plus, but not required). Exposure to LLM-based systems, prompt engineering, RAG, tool/function calling, or agent orchestration frameworks. Experience building small AI-powered applications, Agent-based demos, or developer productivity tools. Achievements in programming competitions (e.g., ACM/ICPC, Kaggle), research publications, or high-quality open-source contributions. A proactive, self-motivated mindset and strong drive to turn ideas into working products.<br><br><br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br>About Us<br><br>Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join Byte Dance<br><br>Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities<br><br>About the Team<br><br>We are upgrading the traditional procurement system into an AI-native procurement platform, with a strong focus on building Procurement Agents. As part of Byte Dance's Corporate Information department, we design and operate corporate service systems that support the company's global business growth and improve the day-to-day work efficiency and experience of employees worldwide.<br><br>Procurement is a complex, high-value domain full of long workflows, rich business rules, and real decision-making. It is one of the most promising places to apply cutting-edge AI Agent technologies to real, large-scale problems. We are reimagining how employees and business partners interact with procurement through intelligent agents, and building the underlying System AI Harness that lets agents plan, act, and deliver reliably.<br><br>Here, you will work at the frontier of AI Agent engineering while developing deep, end-to-end knowledge of a complex business domain. You will have the opportunity to explore emerging technologies and contribute meaningfully to both our products and technical foundations from an early stage in your career.<br><br>We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.<br><br>Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.<br><br>Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.<br><br>Online Assessment<br><br>Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.<br><br>Responsibilities<br><br> Focus on the construction and cutting-edge exploration of Procurement Agents and the System AI Harness, taking ownership from design and implementation through validation, release, and continuous improvement. Design, develop, and maintain the core services, business logic, data flows, and system integrations that power AI-native procurement, with attention to maintainability, scalability, performance, and operational stability. Explore and implement AI Agent capabilities — such as planning, tool use, memory, and multi-step reasoning — and turn them into reliable, production-grade features that solve real procurement problems. Prototype quickly, evaluate emerging AI techniques, and translate promising research and ideas into practical product capabilities. Collaborate closely with product managers, designers, and engineers to break down complex and ambiguous problems and deliver complete, end-to-end solutions.<br><br><br>Qualifications<br><br>Minimum Qualifications<br><br> Currently pursuing or recently completed a bachelor's degree or above in Computer Science, Software Engineering, or a related field, and eligible for the 2027 campus hiring program. Proficiency in one or more programming languages (Golang / Java / Python), with solid programming fundamentals and good coding habits. Solid system design and coding implementation capabilities, with the ability to design, build, test, and maintain complete features. Experience with AI-related projects or research, a strong sense of innovation, and outstanding hands-on skills. High intelligence, strong logical thinking, and excellent independent thinking and problem-breakdown abilities. Strong curiosity and self-motivation, with a genuine passion for exploring and applying frontier AI technologies.<br><br><br>Preferred Qualifications<br><br> Hands-on experience building AI-powered applications, Agent-based products, AI Coding tools, or other developer productivity solutions. Experience with LLM-based systems, prompt engineering, RAG, tool/function calling, or agent orchestration frameworks. Internship, academic, open-source, or personal project experience demonstrating end-to-end ownership of a non-trivial system. Experience improving system performance, engineering efficiency, or stability in real-world projects. Achievements in top-tier competitions, research publications, or high-quality open-source contributions. A proactive mindset and strong drive to turn emerging AI technologies into practical, high-impact products.<br><br><br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy<br><br>Job Information<br><br>About Us<br><br>Founded in 2012, Byte Dance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including Tik Tok, Lemon8, Cap Cut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, Byte Dance has made it easier and more fun for people to connect with, consume, and create content.<br><br>Why Join Byte Dance<br><br>Inspiring creativity is at the core of Byte Dance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.<br><br>As Byte Dancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br><br>Diversity & Inclusion<br><br>Byte Dance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At Byte Dance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Purpose<br><br>At Emirates Group, we connect the world through our global hub in Dubai, ensuring our customers always ‘Fly Better.’ As one of the most recognised and admired brands globally, we’re driven by innovation and excellence. Join us as a HR Specialist - Governance & Compliance and experience a fast-paced, multicultural environment where your ideas and expertise will help shape the future of aviation. Here, you’ll grow alongside professionals from diverse backgrounds, contributing to our shared success and making your mark on a global stage.<br><br>As HR Specialist - Governance & Compliance you will support the Governance & Compliance practices of the HR department by leveraging industry best practice. You will collaborate with all HR teams and other relevant internal stakeholders, such as Operations, Internal Audit and Enterprise Data & Analytics (ED&A). Through applying Governance and Compliance practices, the role’s primary purpose is to facilitate efficient and rewarding employee experiences across all people lifecycle dimensions, such as performance management, productivity, learning and professional development, attrition and retention. You will apply process improvement and standardisation frameworks, quality assurance (management & control) principles and continuous monitoring compliance controls across process, system, and data landscapes and support Enterprise Strategic Themes such as Regulatory Compliance, Business Agility & Efficiency, Business Growth, and Employee Experience.<br><br>In This Role, You Will<br><br>Enable process governance by conducting, in collaboration with the People Experience Design team, process landscape assessments across the People Experience lifecycle and the wider One HR organisation to determine process effectiveness, eliminate inefficiencies, and implement innovative solutions, including chatbots, AI-driven process steps, and Robotic Process Automation (RPA), while supporting the associated change management activities. Ensure all processes across the employee lifecycle are fully GDPR compliant and aligned with international best practices. Support industry research to identify best practices in process governance, automation, and business process improvement, while validating and collating current and future process, technology, and data needs across the One HR organisation. Champion a culture of autonomy, openness, and continuous process improvement based on Lean-Agile principles. Support the implementation of the One HR Data Governance Strategy, ensuring alignment with Emirates Group corporate governance and compliance requirements across Data Protection (Access, Security and Privacy), Data Quality Assurance, and Metadata Management. Perform data governance operational activities in collaboration with Enterprise Data & Analytics (ED&A), business Data Stewards, and Business Privacy Leads to ensure people data is governed effectively and treated as a corporate asset across HR systems and the Enterprise Data Platform (EDP). Support the HR Data & Analytics function in defining a self-service analytics model and enable data risk and compliance practices through collaboration with HR Data & Analytics and HR Shared Services & Employee Data Management teams. In collaboration with the HR Governance & Compliance Manager, implement and maintain an internal quality and control framework by evaluating process risk profiles, implementing appropriate controls, and continuously monitoring their effectiveness. Support knowledge management practices by maintaining People Experience manuals, Standard Operating Procedures (SOPs), and user-owned documentation, ensuring they remain accurate, compliant, and aligned with changing business requirements, system upgrades and process improvements. Facilitate the adoption of process and data governance across the One HR organisation through coaching, Lean Academy initiatives, Business Privacy Lead and Analytics Power User training, systems and SOP training, and data management best practices.<br><br>Qualification<br><br>To be considered for this role, you must meet the below requirements:<br><br>A minimum of 5 years' relevant experience in one or more of the following areas: Industrial Engineering, process improvement methodologies (e.g. Lean, Six Sigma, Supply Chain Management), project management, business consultancy, innovation and Robotic Process Automation (RPA), or compliance/audit within a business environment. Bachelor's degree in a relevant discipline, such as Industrial Engineering, Business Administration, Operational Research, Commerce, Finance, or Information Technology. Experience within the airline industry and/or working with HR systems and products is desirable.<br><br>You Will Have An Edge, If You Have<br><br>Proven ability to build trusted relationships and collaborate effectively across diverse teams and stakeholders. Strong stakeholder management, presentation, communication, and multitasking skills, with the ability to work across multiple departments and competing priorities. Knowledge of HR environments, Oracle ERP, or other leading HR systems, together with strong analytical skills and the ability to translate data into actionable business insights. Experience with analytics, data governance, and reporting tools such as Power BI, Micro Strategy, SAP Business Objects (SAP BO), SQL, and Python, along with experience working in a multicultural environment.<br><br>Emirates Group is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. Please ensure your CV is up to date for our talent acquisition team to review your profile. If you meet the criteria of the role, you will then be invited to complete a Hire Vue video interview, to share more about your experience and your career aspirations. If you are shortlisted, you will then be invited to interview with our hiring managers. If you are successful, your recruiter will reach out to you with an offer and then our Onboarding team will ensure a smooth transition to your new role at Emirates Group.<br><br>Salary & benefits<br><br>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.<br><br>You can find more information about our employee benefits in the Working Here section of our website www.emirates.com/careers. Further information on what it’s like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Purpose</span><p><span>This role is accountable for enterprise-wide operational risk transformation and leads the functional roll-out of major transformation programmes. The role represents the Operational Risk function at senior governance forums and acts as the primary external regulatory representative for operational risk system infrastructure matters.</span></p><br><span>Key Responsibilities</span><span>Project Delivery &amp; Ownership</span><ul><li><span>Deliver Operational Risk project roadmaps in collaboration with stakeholders.</span></li><li><span>Lead Operational Risk projects and portfolio analysis initiatives.</span></li><li><span>Act as a liaison between Business and IT teams.</span></li><li><span>Coordinate with Business, Risk, IT and external vendors to ensure successful project outcomes.</span></li><li><span>Facilitate working groups and obtain stakeholder consensus.</span></li><li><span>Drive automation and process simplification using tools such as SAS, Python and Power BI.</span></li><li><span>Manage vendors throughout requirements gathering, design and UAT phases.</span></li><li><span>Ensure IT deliverables are completed within agreed timelines.</span></li><li><span>Recommend implementation alternatives and obtain senior management approvals.</span></li><li><span>Lead functional discussions during senior management forums.</span></li><li><span>Ensure infrastructure capabilities support regulatory, audit and management reporting requirements.</span></li><li><span>Drive closure of audit observations owned by Risk teams.</span></li></ul><span>Insurance Management</span><ul><li><span>Manage annual renewals and ensure no gaps in insurance coverage.</span></li><li><span>Maintain policy documentation, endorsements, warranties and coverage schedules.</span></li><li><span>Benchmark insurance arrangements against GCC banking peers.</span></li><li><span>Manage broker relationships and service delivery.</span></li><li><span>Maintain insurance claims registers and oversee recovery and notification processes.</span></li></ul><span>Compliance &amp; Regulatory Management</span><ul><li><span>Ensure compliance with internal policies and procedures.</span></li><li><span>Analyse new CBUAE regulations impacting Operational Risk.</span></li><li><span>Conduct gap assessments and compliance planning.</span></li><li><span>Own and coordinate closure of system infrastructure observations raised by regulators.</span></li></ul><span>Skills and Experience</span><span>Analytical Capability</span><p><span>Ability to understand business problems and deliver innovative solutions.</span></p><br><span>Market, Industry &amp; Business Awareness</span><p><span>Maintains deep understanding of banking industry trends, market developments and best practices.</span></p><br><span>Interpersonal Skills</span><p><span>Excellent written, verbal and presentation skills.</span></p><br><span>Leadership Capability</span><p><span>Demonstrates strong leadership and sound judgement, making informed decisions while consulting stakeholders appropriately.&nbsp;</span></p><br><span>Person Specification</span><span>Education</span><ul><li><span>Degree from a reputed institution (e.g. IIT or equivalent).</span></li><li><span>Professional qualification in Finance or Risk Management.</span></li><li><span>FRM or CFA qualification preferred.</span></li></ul><span>Experience</span><ul><li><span>More than 10 years of experience leading large, multidisciplinary teams.</span></li><li><span>Experience with risk systems and analytical models.</span></li><li><span>Proven delivery ownership of large-scale risk and transformation programmes.</span></li><li><span>Experience managing significant programme budgets.</span></li></ul><span>Knowledge &amp; Skills</span><ul><li><span>Strong understanding of operational risk platforms, fraud management and alert management systems.</span></li><li><span>Knowledge of banking regulations and risk management frameworks.</span></li><li><span>Sound understanding of wholesale and retail banking products.</span></li><li><span>Experience in data governance and risk technology transformation.</span></li></ul><span>Behavioural Competencies</span><ul><li><span>Original thinker with a positive attitude.</span></li><li><span>Strong team player.</span></li><li><span>Problem-solving mindset focused on improvement and continuous learning.</span></li></ul><p><span><strong>There’s never been a better time to join Emirates NBD.</strong></span></p><br><p><span>We’re one of the region’s most recognized banking brands and continue to invest in innovation, talent, and professional development. At Emirates NBD, you’ll have the opportunity to work alongside highly skilled professionals, contribute to strategic initiatives across the Group, and build a rewarding career in a dynamic and collaborative environment. We offer competitive benefits, flexible working opportunities where applicable, and an inclusive workplace that supports continuous learning and growth. We encourage interested candidates to review the key responsibilities and qualifications and apply for positions that match their skills and aspirations.</span></p><br><p><span>&nbsp;#LI-KS1</span></p><br><br> </div>

Who We Are<br><br>NEXT Ventures is a global fintech group powering Funded Next — one of the world's fastest-growing proprietary trading platforms — and FNmarkets, a regulated CFD brokerage. Across offices in Bangladesh, Malaysia, Sri Lanka, Cyprus, and Dubai, we build and operate the technology that lets traders access global markets at scale. Our Platform Engineering team owns the infrastructure, reliability, and observability backbone that every product squad depends on.<br><br>Your Role in Our Mission<br><br>As our Database Reliability Engineer, you are the specialist who ensures our data layer never becomes the bottleneck. You own database performance, archiving pipelines, caching reliability, and BC/DR for the data tier that underpins all Funded Next services. Working within the Platform Engineering squad, you execute the scaling and optimization initiatives designed by the squad lead — and you are the reason our databases stay fast, durable, and cost-efficient as trading data and traffic grow.<br><br>How You'll Make An Impact<br><br>Data Performance & Scalability<br><br>Execute database optimization and scaling initiatives — implement partitioning strategies, sharding schemes, and replication configurations; independently diagnose and fix slow queries across the platform. Own performance diagnostics on high-volume tables — EXPLAIN plan analysis, index tuning, buffer cache hit-ratio investigation, lock contention, and replication lag on 100M+ row tables. Build and maintain data archiving pipelines — move historical records (trade logs, transaction data, audit trails) from production tables to cold storage (S3/Parquet/Athena/Glacier) while preserving query access for compliance and reporting. Implement and maintain data lifecycle automation — TTL policies, scheduled archival jobs, partition rotation, and retention enforcement. Conduct regular performance profiling across the data tier — identify bottlenecks in MySQL/Postgre SQL and the caching layer, then implement measurable fixes. Support load testing and capacity planning for the data layer — analyze growth trends, identify breaking points, and implement fixes before traffic growth causes production issues.<br><br><br>Data Reliability & Infrastructure<br><br>Implement and maintain data-tier BC/DR infrastructure — multi-AZ deployments, read replicas, Aurora Global Database/cross-region replication, backup schedules, and failover triggers targeting RTO/RPO under 5 minutes; participate in regular DR drills. Implement and maintain caching strategies (Redis, Elasti Cache) — cache invalidation logic, read-through/write-behind patterns, TTL hygiene, and cache hit-rate monitoring. Define and track reliability metrics (SLIs/SLOs) for the data layer — query latency, availability, replication health — and drive improvements against them. Implement monitoring, alerting, and observability for the data tier — dashboards, slow-query alerting, and replication/cache health monitoring targeting fast MTTD on data incidents. Maintain and improve database-level automation — stored procedures, dynamic partitioning scripts, and scheduled maintenance jobs.<br><br><br>Cross-Team Support<br><br>Collaborate with application and product squads to design schemas, indexes, and access patterns that scale. Remediate data-related security findings from the Cyber Security Squad — implement fixes and verify through retesting. Write and maintain infrastructure-as-code for data resources — Terraform or equivalent for reproducible, version-controlled provisioning. Document runbooks, archiving procedures, and operational guidance so any engineer can respond to data-tier incidents with clear guidance.<br><br><br>What You Bring<br><br>4–6 years of professional engineering experience, with at least 2 years in database-focused infrastructure work at moderate-to-high scale. Strong expertise in MySQL and Postgre SQL — EXPLAIN plan analysis, index design, partitioning, sharding, and replication setup — with direct experience on 100M+ row tables. Able to build data archiving pipelines to cold storage (S3/Parquet/Athena/Glacier) while keeping records queryable for compliance and reporting. Proficient with AWS managed database services — RDS and Aurora — including provisioning, read replicas, parameter group tuning, and monitoring; Aurora Global Database experience is a plus. Hands-on with Redis and Elasti Cache — cache invalidation patterns, TTL hygiene, hit-rate monitoring, and incident diagnosis. Automates archival, maintenance, and diagnostic work using Python and/or Bash. Familiar with monitoring and observability tooling (Prometheus, Grafana, Datadog, or similar) for slow-query alerting, dashboards, and data-tier incident analysis. Understands multi-AZ and cross-region DR architectures, backup strategies, and failover triggers targeting RTO/RPO under 5 minutes. Comfortable writing Terraform or Cloud Formation to provision data resources in a version-controlled, reproducible way. Can write and debug stored procedures and dynamic partitioning logic for database-level automation. Evidence-driven — profiles and measures before guessing; validates every optimization against before/after data. Performance-oriented — treats data-tier latency as a first-class reliability problem, not a tuning afterthought. Good communicator — works with product squads to shape schemas and access patterns, and explains data constraints clearly.<br><br><br>X-Factor: AI-Native Engineering<br><br>You actively use modern AI agentic workflows daily — not limited to Copilot autocomplete. You are proficient with Claude Code, Cursor, Windsurf, or equivalent tools. You are comfortable with project-level AI configuration (CLAUDE.md, rules files), agentic task delegation, and AI-driven code review. You think in terms of 5–10x productivity through AI-augmented development — and you can demonstrate it.<br><br><br>Your Journey After Applying<br><br>Stage 1 — TA Interview Stage 2 — Screening Questionnaire Stage 3 — Hiring Manager Interview Stage 4 — Head of IT Interview<br><br><br>Why Join NEXT<br><br>Work on data challenges at real scale — 100M+ row tables, 1TB+ databases, high-frequency trading transaction volumes. A team that treats database performance and data-tier reliability as first-class engineering problems, not DBAs on the side. Flat structure — your work directly shapes the platform's data infrastructure, not filtered through layers of process. Offices across Bangladesh, Malaysia, Sri Lanka, Cyprus, and Dubai — a genuinely global engineering team. Competitive compensation benchmarked to your market, with room to grow as the team scales.<br><br><br>Experience level: Senior

About Revolut<br><br>People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day.<br><br>As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.<br><br>About The Role<br><br>Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.<br><br>We’re looking for a Technology Services Specialist to lead our global MDM strategy and automate critical Saa S integrations. You'll ensure our fleet remains compliant while maintaining engineering autonomy.<br><br>Up to shape what’s next in finance? Let’s get in touch.<br><br>What You'll Be Doing<br><br>Architecting and scaling enterprise-level endpoint management (MDM) solutions using Jamf Pro and Microsoft Intune Administering Windows VMs and virtual desktop infrastructure (VDI) within a high-stakes production environment Automating device configurations and Saa S integrations via Bash, Zsh, and Power Shell to streamline operations Querying device inventory databases with SQL to generate actionable insights into fleet health and security compliance Implementing Security by Design frameworks through modern protocols like File Vault, Bit Locker, and Conditional Access Orchestrating large-scale hardware rollouts and technical migrations across global time zones Monitoring system security posture using open-source tools like Santa and OSQuery for complex system audits Deploying engineering-specific tooling, including automated CLI setups and local development environment configurations Translating complex endpoint architectures into clear, actionable technical documentation for diverse stakeholders Collaborating on the integration of Terraform or Cloud Formation to manage cloud-based IT and Saa S infrastructure<br><br>What You'll Need<br><br>3+ years of experience in an IT systems engineering role, focusing heavily on enterprise-level MDMTechnical expertise in Jamf Pro and Microsoft Intune A background managing Windows VMs and virtual desktop infrastructure in production environments Advanced proficiency in Bash, Zsh, or Power Shell to automate configurations and integrate Saa S APIsProficiency in SQL for querying inventory databases and logs to monitor fleet compliance Familiarity with modern security protocols, like File Vault and Bit Locker, with a security-by-design approach Exceptional talent for managing large-scale hardware rollouts and migrations across time zones Fluency in English with the ability to explain complex architectures to non-technical stakeholders Architect-level knowledge of mac OS internals and managing device fleets at a 1,000+ node scale Hands-on familiarity with open-source security tools, like Santa or OSQuery, for system auditing<br><br>Nice to have<br><br>Experience with Python, Bash, or Power Shell to automate repetitive tasks and manage system configurations at scale Exposure to Terraform or Cloud Formation for managing cloud-based IT infrastructure and Saa S configurations Advanced certifications or deep-dive experience in Jamf Pro (mac OS/i OS) or Microsoft Intune (Windows/Android) at an enterprise level The ability to transform raw SQL queries and complex database schemas into high-impact visual stories using tools like Tableau, Power BI, or Looker Familiarity with sandboxing or containerisation used to isolate untrusted local processes, supporting the secure use of AI agentic tools Exposure to Google MDM<br><br>Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.<br><br>Important notice for candidates:<br><br>Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<br><br> Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.<br><br>We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.<br><br>By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice

<strong>About AKASA<br><br></strong>At AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.<br><br>This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.<br><br>Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.<br><br>Some of our recent recognitions include being named one of America's Top Startup Employers 2026 by Forbes, #1 most promising healthcare RCM startup of 2025 by Black Book Market Research, and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past 6 years in a row.<br><br>We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.<br><br><strong>About The Role<br><br></strong>As an Applied AI Engineer, you will be building AI-powered solutions across our Clinical Documentation and Medical Coding suite. You will work closely with the product, design, and machine learning teams to design and build the services, APIs, and tools that undergird our SaaS products.<br><br>Together with the broader team, you will work on AI-native products that correct clinical errors for hundreds of thousands of patients, and deliver hundreds of millions of dollars in measurable value for our customers.<br><br>These products improve the quality of physician documentation, help clinicians identify missing diagnoses, convert documentation to medical codes and ensure financial integrity for health systems. The interfaces you develop help thousands of clinicians and hospital staff tackle some of the most challenging and high-impact patient encounters in U.S. healthcare.<br><br><strong>What You'll Do<br><br></strong><ul><li>Build features and products driven by LLMs. You will touch the whole stack, from designing agentic systems for revenue cycle workflows to the infrastructure that runs them in production across hundreds of hospitals.</li><li>Work alongside strong subject matter experts on complex, challenging problems that span from high-stakes clinical diagnoses to regulated medical billing with no easy answers.</li><li>Deploy the evaluation frameworks and experimentation loops that deliver reliable, production-grade systems. You'll use data-driven and statistical approaches to balance across medical coding guidelines, user feedback, and auditability.</li><li>Partner directly with product, clinical, and revenue cycle experts to push the frontier of what AI can do inside the healthcare revenue cycle.<br><br></li></ul><strong>What We're Looking For<br><br></strong><ul><li>Bachelor of Science in Computer Science/Software Engineering or related field</li><li>3+ years in a technical role with a strong foundation in AI and data analysis or backend systems</li><li>1+ years shipping production AI systems to end users</li><li>Experience designing offline/online evaluations and landing agentic systems</li><li>Proficiency in Python</li><li>Thrives in a startup environment working on challenging problems</li><li>Healthcare technology experience (EDI,HL7,FHIR) is a plus<br><br></li></ul><strong>What We Offer<br><br></strong><ul><li>Flexible paid time off (PTO)</li><li>Expansive coverage for health, dental, and vision</li><li>Employer contribution to Health Savings Accounts (HSA)</li><li>Generous parental leave policy</li><li>Full employee coverage for life insurance</li><li>Home office stipend</li><li>Cell phone/internet reimbursement</li><li>Company-paid holidays</li><li>401(K) plan<br><br></li></ul><strong>Compensation<br><br></strong><ul><li>Based on market data and other factors, the salary range for this position is $180,000-$250,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.<br><br></li></ul><em>We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.<br><br></em><em>AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the </em><em>San Francisco Fair Chance Ordinance.<br><br></em><em>AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.</em>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralised unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.</p><br><br><br><p>The role of the Principal Insights Analyst is to deliver analytics and insights use cases for a diverse range of departments and business stakeholders all whilst furthering the ambitions of the organisation to become information driven, through multiple channels of delivery. Work closely with internal customers to understand their challenges and opportunities and develop information driven solutions that help business leaders understand their data and how it can be used to identify opportunities and solve complex business problems. The Analytics and Insights Manager uses a variety of business and technical skills to deliver bespoke products that ensures data and information provide valuable context that underpins each decision. This role also provides technical leadership within their team to design solutions that are reliable, scalable and empower business to access the data they need, when they need it most.</p><br><br><p><strong>In this role, you will:</strong></p><br><br><ul><li>Manage business engagement from initial problem statement and hypothesis; through identifying ideal methodology, providing oversight on the data collection process, statistical and analytic analysis work to ensure all available information is generated to support business needs.</li><li>Deliver complex insights use cases in a manner which is accepted by business stakeholders through compelling visualisation and narratives incorporating analytical insight into actionable outcomes.</li><li>Work collaboratively with business stakeholders to support in helping define relevant measures, metrics and KPIs, that can be translated into analytical data and information products for root cause analysis and actionable insights.</li><li>Lead, coach and develop direct reports to ensure each team member is empowered with the right business domain knowledge, analytical and statistical skills to ensure robust and timely delivery of insight products.</li><li>Work with federated analytics communities to improve analytical capabilities of teams in business units to improve self service capability.</li><li>Create a culture of inclusion across business functions by actively endorsing and participating in community building activities that reinforce this ambition.</li><li>Cultivate the enterprise ambition of embedding a federated Insights &amp; Analytics (I&amp;A) community to enable the scaled and sustained excellence in all I&amp;A disciplines across functional lines of business.</li><li>Leverage relevant frameworks that capture relevant data models and business logic and ensure a systematic approach to deliver projects of high value in a timely manner leveraging self-service capabilities where possible.</li><li>Ensure the highest standards of quality and usability are incorporated into each use case, with business ownership embedded into the design and delivery process of each project.</li></ul>Qualification<p><strong>To be considered for this role, you must meet the below requirements:</strong></p><br><br><ul><li><strong>Qualifications: </strong>Degree (12+3 or equivalent) in a Business or Information Technology field from an internationally recognised university.</li><li><strong>Experience:</strong> 8+ years experience in Information Technology or other related field. </li></ul><p><strong>Knowledge &amp; Skills:</strong></p><br><br><ul><li>Experience in working with and understanding Data &amp; Analytics tools and platforms including Data Warehouses, data lakes and visualisation toolsets.</li><li>Experience and knowledge in one or more of the following business domains such as: Customer, Commercial, Operations, Finance, Human Resources etc.</li><li>Solid understanding of enterprise data warehouse logical data modelling approaches (e.g. 3NF, Data Vault, Star Schema, etc.); experience with associated physical data models is a plus.</li><li>Working in diverse international teams, at least partially also in large-scale enterprise data &amp; analytics domains within complex business environments.</li><li>Strong analytics and business intelligence skills with proven ability to manage multiple initiatives simultaneously.</li><li>Excellent communication skills, with the ability to interact with stakeholders at all levels of the business, including external parties.</li><li>Knowledge of data warehousing principles.</li><li>Ability to handle multiple and complex situations simultaneously taking into considerations the diverse culture within the group.</li><li>Knowledge of business domain, statistics, mathematics and analytical methods.</li><li>Knowledge of data and KPIs commonly used in airline industry, particularly as they relate to the commercial application of this information.</li><li>Proven hands-on knowledge of SQL/Python/R</li><li>Strong Relationship building Skills.</li></ul><p>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!</p><br><br><br>Salary &amp; benefits<p>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance and more. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p><br><br><br><br> </div>

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br><br>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br><br>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.<br><br><strong><strong>Job Description<br><br></strong></strong>As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.<br><br>As a <strong>Sr. Data Scientist (AI &amp; ML) on the global AI hub</strong>, your mission will be to design, build, and ship the machine learning and generative AI systems that power decisions across product and business. You will own a particular domain end to end, working closely with product and business managers as part of a talented team of data scientists and machine learning engineers. You will own the full ML lifecycle, from problem framing, data modeling, and feature engineering through model training, deployment, serving, and monitoring in production. Many of our initiatives will focus on leveraging Generative AI and LLMs for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations at scale.<br><br><strong><strong>Responsibilities<br><br></strong></strong><ul><li>Framing ambiguous business problems as well-defined machine learning and data science problems, with clear, objective success criteria.</li><li>Providing high-quality, impactful insights and data-driven recommendations through rigorous analysis and automated reporting to drive strategic organizational choices.</li><li>Designing, building, and shipping end-to-end machine learning and generative AI systems in production — spanning data pipelines, feature engineering, model training, serving, and monitoring.</li><li>Taking on engineering-heavy work end to end: architecting robust ML-based systems, writing clean and scalable production code, and training, deploying, and maintaining reliable ML models that solve real business problems at scale.</li><li>Training, evaluating, and iterating on models — selecting the simplest, most appropriate algorithms and architectures to deliver measurable business value.</li><li>Leveraging LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making within production systems.</li><li>Building and maintaining the data models, features, and pipelines that power model training and allow us to measure performance and its drivers for your area of focus.</li><li>Designing, planning, and analyzing experiments (A/B and multivariate tests) to rigorously measure model and product impact.</li><li>Developing deep familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling.</li><li>Partnering with product and business teams to identify high-impact opportunities and translate them into ML solutions and actionable, data-driven recommendations.</li><li>Mentoring other data scientists in their growth journeys.</li><li>Elevating engineering and ML best practices — improving our ways of working, tooling, MLOps, and internal training programs.<br><br></li></ul><strong><strong>Qualifications<br><br></strong></strong><strong>Technical Experience<br><br></strong><ul><li>Deep expertise in machine learning, generative AI, deep learning, recommendation systems, NLP, pattern recognition, data mining.</li><li>Deep hands-on knowledge of ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Transformers, LLM fine-tuning).</li><li>Strong software engineering fundamentals: excellent coding skills, a solid grasp of data structures and algorithms, and proven ability in both general system design and ML system design.</li><li>Proven experience building, deploying, serving, and monitoring ML models in production, with a strong grasp of MLOps practices.</li><li>Strong data and ML engineering skills, including building and orchestrating data and training pipelines (e.g. via Airflow) and robust feature engineering.</li><li>Excellent SQL and competence with reproducible analysis and modeling in Python.</li><li>Solid statistical foundations, including experiment design and analysis (A/B and multivariate) and inferential, causal, and predictive methods.</li><li>Familiarity with data modeling and dimensional design.</li><li>Strong command over the entire ML lifecycle, from problem formulation and data auditing through modeling, deployment, interpretation, and presentation.</li><li>Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).</li><li>Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.</li><li>Familiarity with BigQuery and the Google Cloud Platform is a plus.<br><br></li></ul><strong><strong>Qualifications<br><br></strong></strong><ul><li>Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</li><li>5+ years of experience across data science, machine learning engineering, and generative AI, including shipping ML models to production.</li><li>Experience building ML systems in an online consumer product setting is a plus.</li><li>A good problem solver with a 'figure it out' growth mindset.</li><li>An excellent collaborator.</li><li>An excellent communicator.</li><li>A strong sense of ownership and accountability.</li><li>A 'keep it simple' approach to #makeithappen.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>We are inviting applications for a Post-doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in economics, demography, international development, sociology, public policy, or a closely related field. The appointment will begin September 1, 2027, subject to final budget approval and is available for up to three years.</p><br><br> <br> <p>The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Torsten Figueiredo Walter and Luca Maria Pesando. The collaborative research will be focused on exploring dynamics of household composition in low- and middle-income countries. The project challenges static concepts of the household by examining fluid structural changes across time and space. The study quantifies global variations in household size and composition, assesses their relationship with economic development, and evaluates their impact on poverty metrics and intra-household decision-making.</p><br><br>Qualifications<p>We seek a candidate with interest in economic development, economic demography, and family studies, and expertise with large-scale household surveys, censuses, and applied data analysis. Ability to handle large volumes of data and familiarity with household surveys, such as labor force and living standards measurement surveys, are required, alongside solid data analysis skills (R, Stata, Python, GIS, etc.) and familiarity with academic writing and publishing. Familiarity with fieldwork and data collection processes is a plus.</p><br><br> <p>The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science.</p><br><br> <br>Application Instructions<p><span>For consideration, applicants must submit a cover letter, curriculum vitae with full publication list and contact of at least two referees, and a writing sample.</span></p><br><br> <p><span> Letters of reference will be solicited for shortlisted candidates only. If you have any questions, </span></p><br><br> <p><span>please email Professor Figueiredo Walter at </span><span>t.f.walter@nyu.edu</span><span> and/or Professor Luca Maria Pesando at </span><span>lucamaria.pesando@nyu.edu</span><span>.</span></p><br><br> <p><span> Applications will be accepted until January 15, 2026 but review will start as soon as possible.</span></p><br><br> <p><strong>About NYU Abu Dhabi</strong><br>https://nyuad.nyu.edu/en/ <br>NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. </p><br><br> <p>NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.</p><br><br> <p>Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.</p><br><br> <p><strong>Working for NYUAD</strong></p><br><br> <p>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority.</p><br><br> <p>Visit our website for more information on benefits for you and your dependents.</p><br><br> <p>NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.</p><br><br> <p>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</p><br><br> <p><strong>Join NYU Abu Dhabi, an exceptional place for exceptional people.</strong></p><br><br> <p>NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission.</p><br><br> <p>@WorkAtNYUAD</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About ENBD&nbsp;</strong></p><br><p>Emirates NBD is a market leader across the MENAT (Middle East, North Africa and Türkiye) region with a presence in 13 countries, serving over 9 million customers. Emirates NBD is the leading financial services brand in the UAE with a Brand value of approximately USD 4 billion. We serve our customers and help them realise their financial objectives through a range of banking products and services including retail banking, corporate &amp; institutional banking, Islamic banking, investment banking, private banking, asset management, global markets and treasury, and brokerage operations. We are a key participant in the global digital banking industry, with 97% of all financial transactions and requests conducted outside of our branches. We also operate Liv, the lifestyle digital bank by Emirates NBD. With over half a million users, it continues to be the fastest-growing digital bank in the region.</p><br><p><strong>Job Overview:</strong></p><br><p>As a Product Manager at Emirates NBD, your role is responsible to drive the development, pricing, execution, and lifecycle management of Structured Products that support the investment needs of the bank’s clients and its growth objectives. The role involves identifying and evaluating new product opportunities, collaborating with internal stakeholders to generate investment ideas, securing necessary product approvals through Legal, Compliance, and Risk functions, and partnering with platform teams to enhance processes and develop innovative product capabilities.</p><br><p><strong>Key Responsibilities:&nbsp;</strong></p><br><ul><li>Identify product needs for all customer segments across RBWM working in conjunction with segment and channel leads and eliminate product gaps in the product/service offering. Continuously innovate and identify ideas that align with the house view and client needs.</li><li><p>Following house views, global markets and events that may create an end-user need. Ideate payoffs and underlyings where in line with house views, seek stakeholder interest and manage the life&nbsp;cycle of the product.&nbsp;</p><br></li><li>Ideate, critically analyze, optimize, establish consensus across sales, investment strategy, control functions, launch, trade with assistance from issuers, answer client queries during the life of the product, monitor the products during the life of the product for yellow/red flags, suggest replacements at maturity</li><li>Improve processes/ automate where possible, reduce TATs on various activities; Also take ownership of various sundry tasks that require the desk’s involvement on a day-to-day basis.</li><li>Project management for strategic enhancements for the benefit of the wealth management business</li><li>Continuously improve the infrastructure and desk capabilities (e.g., agreements with issuers, LTVs, digitization)</li><li>Understand business dynamics across the channels and segments to leverage on product/service needs of the Bank’s customers to position SPs as a key part of a truly valuable customer proposition.</li><li>Establish delivery of best-in-class educational framework for Structured Products&nbsp;</li><li>Automate desk activities wherever feasible</li><li>Manage relationships with all related internal and external counter parties to ensure smooth running of the distribution channels in delivering targets for the business.</li><li>Jointly own the budget for SPs in partnership with segments &amp; channels.</li><li>Monitor structured products trade book for escalation of yellow / red flags to WMIGC for exercising customer duty of care.</li><li>Develop, monitor, and continuously improve checks and balances to ensure that desk’s activities are compliant with all relevant regulations, policies, and procedures</li><li>Act as a point of contact for all stakeholders, internal and external, in relation to Structured Products&nbsp;</li><li>Manage Structured Product trade-book for review of secondary market pricing, repeat sale opportunities for upcoming maturities, sales feedback, etc.&nbsp;</li></ul><p><strong>Skills and Experience:&nbsp;</strong></p><br><ul><li>Degree in Engineering or Mathematics from a globally recognized top-tier university.<br></li><li>Preferred Postgraduate qualification in Finance from a reputed international university, with specialized coursework and strong exposure to derivatives, structured products, and advanced financial markets.<br></li><li>Proven experience in Equities, Rates, FX, Fixed Income, or Structured Payoff Structuring within a leading bank,&nbsp;<br></li><li>Experience within Global Markets, Quantitative Structuring, or Structured Products<br></li><li>Hands-on experience in the design, pricing, and structuring of derivative and structured investment products across asset classes.<br></li><li>Demonstrated programming and quantitative development skills, with evidence of coding experience in languages and tools such as Java, VBA, Python, C++, GitHub, SQL, or similar technologies.<br></li><li>Ability to build pricing tools, automate workflows, develop quantitative models, and support structuring activities through technology-driven solutions.<br></li><li>Experience working closely with Trading, Sales, Structuring, Quantitative Research, Risk Management, and Technology teams to deliver innovative client solutions.<br></li></ul><p><strong>There’s never been a better time to join Emirates NBD.&nbsp;</strong></p><br><p>We’re one of the region’s most recognisable brands. We’re banking innovation leaders. We’re growing across both the UAE and our global offices. We offer a huge range of professional development opportunities to accelerate your career. It also goes without saying that we provide extremely competitive rewards, benefits and perks too, like our flexible work policy so you can work from home whenever it suits.</p><br><p>At ENBD, we encourage interested candidates to review the key responsibilities and qualifications for each role and apply for positions that match their skills and capabilities.&nbsp;</p><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose<p>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralised unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.</p><br><br><p>The role of Principal Insights Analyst is to deliver analytics and insights use cases for a diverse range of departments and business stakeholders all whilst furthering the ambitions of the organisation to become information driven, through multiple channels of delivery. Work closely with internal customers to understand their challenges and opportunities and develop information driven solutions that help business leaders understand their data and how it can be used to identify opportunities and solve complex business problems. The Analytics and Insights Manager uses a variety of business and technical skills to deliver bespoke products that ensures data and information provide valuable context that underpins each decision. This role also provides technical leadership within their team to design solutions that are reliable, scalable and empower business to access the data they need, when they need it most.</p><br><br><p><strong>In this role, you will:</strong></p><br><br><ul><li>Manage business engagement from initial problem statement and hypothesis; through identifying ideal methodology, providing oversight on the data collection process, statistical and analytic analysis work to ensure all available information is generated to support business needs.</li><li>Deliver complex insights use cases in a manner which is accepted by business stakeholders through compelling visualisation and narratives incorporating analytical insight into actionable outcomes.</li><li>Work collaboratively with business stakeholders to support in helping define relevant measures, metrics and KPIs, that can be translated into analytical data and information products for root cause analysis and actionable insights.</li><li>Lead, coach and develop direct reports to ensure each team member is empowered with the right business domain knowledge, analytical and statistical skills to ensure robust and timely delivery of insight products.</li><li>Work with federated analytics communities to improve analytical capabilities of teams in business units to improve self service capability.</li><li>Create a culture of inclusion across business functions by actively endorsing and participating in community building activities that reinforce this ambition.</li><li>Cultivate the enterprise ambition of embedding a federated Insights &amp; Analytics (I&amp;A) community to enable the scaled and sustained excellence in all I&amp;A disciplines across functional lines of business.</li><li>Leverage relevant frameworks that capture relevant data models and business logic and ensure a systematic approach to deliver projects of high value in a timely manner leveraging self-service capabilities where possible.</li><li>Ensure the highest standards of quality and usability are incorporated into each use case, with business ownership embedded into the design and delivery process of each project.</li></ul>Qualification<p><strong>To be considered for this role, you must meet the below requirements:</strong></p><br><br><p><strong>Qualifications:</strong> Degree or Honours (12+3 or equivalent) in Business or Information Technology field from an internationally recognised university.</p><br><br><p><strong>Experience:</strong> 8+ years experience in IT or other related field. </p><br><br><p><strong>Knowledge &amp; Skills: </strong></p><br><br><ul><li>Degree in a Business or Information Technology field from an internationally recognised university.</li><li>Experience in working with and understanding Data &amp; Analytics tools and platforms including Data Warehouses, data lakes and visualisation toolsets.</li><li>Experience and knowledge in one or more of the following business domains such as: Customer, Commercial, Operations, Finance, Human Resources etc.</li><li>Solid understanding of enterprise data warehouse logical data modelling approaches (e.g. 3NF, Data Vault, Star Schema, etc.); experience with associated physical data models is a plus.</li><li>Working in diverse international teams, at least partially also in large-scale enterprise data &amp; analytics domains within complex business environments.</li><li>Strong analytics and business intelligence skills with proven ability to manage multiple initiatives simultaneously.</li><li>Excellent communication skills, with the ability to interact with stakeholders at all levels of the business, including external parties.</li><li>Knowledge of data warehousing principles.</li><li>Ability to handle multiple and complex situations simultaneously taking into considerations the diverse culture within the group.</li><li>Knowledge of business domain, statistics, mathematics and analytical methods. </li><li>Knowledge of data and KPIs commonly used in airline industry, particularly as they relate to the commercial application of this information.</li><li>Proven hands-on knowledge of SQL/Python/R</li><li>Strong Relationship building Skills.</li></ul><p>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!</p><br><br><br>Salary &amp; benefits<p>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That’s on top of transport benefits, life insurance and more. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Build the function.<br> Be its first practitioner.<br> Zero models in production.<br> That is the honest starting line, and it is also the offer.<br> DigitalZone has the parts most companies are still fighting for: a unified warehouse, data engineering and analytics teams already running, and behavioural and transaction data from a digital goods business, a ticketing platform and a regulated trading venue.<br> What it does not have is a single model deciding anything.<br> Nothing scores fraud risk, nothing forecasts demand, nothing chooses what a customer sees next.<br> You are the first data science hire.<br> You will build the team, set how it works, and personally be the data scientist for Platform: payments, identity and marketing technology.<br> You report directly to the executive who owns Product and Data, so the distance between your finding and a decision is one conversation.<br> It also means there is nobody to hide behind when a model does not work.<br> The hard part Fraud in a cash-heavy market with agent networks and chargeback exposure does not sit still.<br> Your model will be adversarial from day one, and the threshold you set is a live tradeoff between loss prevented and customers blocked.<br> That call will be yours to make and yours to defend.<br> Identity is the other half.<br> Customer records arrive from several products and a partner login, and resolving them into one trustworthy profile is what makes personalisation, risk scoring and half the company's roadmap possible.<br> Nobody has done it yet.<br> What you'll do Build the function from one person to a team: charter, hiring, and the standard for how a model is specified, validated, shipped, monitored and retired.<br> Own fraud detection as a product: transaction and payment risk scoring, chargeback and refund abuse, account takeover, promo abuse, agent and merchant anomaly detection.<br> Set the thresholds with fraud and operations, and defend the loss-versus-friction tradeoff.<br> Own the modelling side of identity management: identity resolution and record linkage across sources, deduplication and match confidence, profile completeness scoring, and the unified customer profile that both personalisation and risk read from.<br> Drive the next-best-action and segmentation layer behind personalised customer communication.<br> Get models into production and keep them there, with the cloud team on serving and MLOps: monitoring, drift, retraining, rollback, and one measurable business outcome per model you are willing to be judged on.<br> Own the planning models: demand and stock forecasting, predictive budget, category and SKU level targets, churn and lifetime value.<br> Own experiment design across product and marketing: hypothesis, minimum detectable effect, decision rule, and honest readouts including the null ones.<br> Agree the boundary with data engineering and analytics.<br> It is not settled today.<br> Settling it is part of the job.<br> Bring stakeholders a decision, not a notebook.<br> Definitions come from the company metric contract, and an unvalidated figure does not become a fact by appearing in a deck.<br> Immediate, large-scale impact on a high-growth business Top-of-the-market compensation packages Work alongside top regional talent, with team members from Talabat, Careem, Etisalat, and more What you'll bring 7+ years in data science, 2+ leading or mentoring scientists.<br> Having been the first or second scientist somewhere counts double.<br> Models in production with a measured business outcome.<br> Hard requirement: live traffic, monitored, effect quantified.<br> A portfolio of notebooks is not this.<br> Fraud or risk modelling depth, plus at least one of: identity resolution and entity matching, forecasting, churn and lifetime value, personalisation, uplift modelling, causal inference.<br> Strong SQL against large transaction and event data in a columnar warehouse, strong Python, and code someone else can run next quarter.<br> Experimental and causal rigour, including quasi-experimental methods where randomisation is not possible.<br> Consumer fintech or payments fluency: transactions, funnels, cohorts, fraud patterns.<br> The ability to align product, engineering, marketing and commercial on one problem definition before any modelling starts.<br> AI-assisted working, with the rule that you never ship output you cannot explain.<br> Nice to have Built a data science function from zero, including the first hires and the first deployment path.<br> Fraud or payment risk in a market with cash-heavy behaviour, chargeback exposure or agent networks.<br> Identity graph, KYC or customer data platform experience.<br> MENA or emerging-market consumer data, with the data quality reality that comes with it.<br> Arabic. What we will not pretend There is no team yet, no serving infrastructure you can lean on, and no data science rubric to hide behind.<br> The first six months are you, a warehouse and a lot of stakeholder conversations.<br> What you get in return is a blank page at a company that has already decided models matter, and the rare chance to be judged on outcomes you defined yourself.<br> If you want to join a mature data science org, this is the wrong role.<br> If you want to be the reason one exists, apply.<br></span> </div>