Python Developer Jobs in UAE in UAE 2026

Full Time 0 to 0 years LinkedIn

Senior Backend C++ Developer

On-site - UAE - Dubai 22 June 2026

Information Technology

Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its flagship game, Total Battle, into the No. 1 strategy game in the world. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. Our mission: to unite and excite people all over the world. We are looking for an experienced Senior Backend C++ Developer for our Core Team to work on key game project functionalities. We strive for simplicity, scalability, maintainability, and excellent quality in our solutions. Our team's main goal and challenge is to deliver outstanding technical design while ensuring quality, flexibility, and ease of development for game features. Tasks to be solved Designing and developing the Core backend component and creating user-friendly APIs with Doxygen descriptions. Refactoring and isolating existing modules and eliminating technical debt. Preparing and reviewing ADRs/RFCs, formulating architectural solutions within your team/service, and presenting them to the architectural board for discussion. Conducting code reviews and design reviews of game mechanics. Maintaining high quality by writing unit and integration tests, implementing metrics, and profiling code. Planning, decomposing, and delegating sub-tasks and evaluating the results thereof. Developing tools and scripts for automating internal development processes. To succeed, you will need6+ years of commercial development, including 3+ years in С++ backend. C++ 17/20: STL, templates (concepts). The ability to participate in creating or reviewing architectural documentation (ADRs/RFCs). Practical experience in software design: SOLID, YAGNI/KISS/DRY, patterns. Knowledge of Service-Oriented/Action(Command)-based approaches. Networking & Concurrency: TCP/HTTP, RPC (g RPC/protobuf), thread-pools, and an understanding of async/await. Observability: Prometheus/Influx DB, Grafana, or analogs. The following would be to your advantage Experience with Java, Kotlin, C#, or Python. Gamedev experience. Experience in designing large-scale modules / components / services. What we offer A Great Place to Work. 99% employee satisfaction, low turnover, and colleagues who genuinely enjoy collaborating. Live and work in sunny Cyprus. We’re an office-first team in Limassol with a modern seaside workspace, and full relocation and visa support for you and your family. Shape a global hit. We’re the only European studio with a 4X strategy title in the world’s top-10. Our top-50 mobile game has grown 25x in revenue and audience in the last five years. Grow fast in a company that’s already strong. We’re independent, financially rock-solid, and expanding at startup speed, and we have never had lay offs. Work where ideas win. Flat structure, collective decision-making, and honest feedback create full transparency and help you grow fast. Earn industry-leading rewards. High salaries, a 13th month, performance bonuses, and extra rewards for long service, marriage, or welcoming a child, and lunch every day. Feel supported at every stage of life. Private family health insurance, plus a monthly allowance for children’s pre-school, school, and university education. Your growth is our priority. From specialized training and certifications to language courses and books, you’ll have everything you need to keep learning.

0 to 0 years Bayt

DevOps Engineer

On-site - UAE 18 June 2026

Logistics, Supply Chain & Procurement

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Type: Full-time Location: Abu Dhabi, UAE (On-site) Work Schedule: Fixed Hours (Asia/Dubai Timezone) About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI infrastructure. Unlike a traditional outsourcing agency, we place professionals directly with clients where they become valued in-house team members, contributing to long-term growth and innovation. About the Company Our client is a fast-growing technology company building scalable cloud infrastructure and enterprise-grade developer platforms. The team specializes in modern DevOps tooling, Kubernetes orchestration, and secure infrastructure automation to help businesses deploy and manage applications efficiently at scale. They are seeking a highly technical DevOps Engineer who thrives in customer-facing environments and enjoys solving complex infrastructure challenges while collaborating closely with engineering and product teams. Job Summary We are looking for a high-impact DevOps Engineer who thrives at the intersection of infrastructure engineering and customer success. In this role, you will be the technical heart of our deployments, bridging the gap between complex cloud architecture and real-world business value. You will design scalable solutions, lead technical discovery, and build the mission-critical proofs-of-concept that drive our platform’s growth. If you are a problem-solver who enjoys working on cutting-edge infrastructure and wants to be a key player in a fast-moving engineering culture, this is the role for you. Key Responsibilities Collaborate with clients and internal teams to design scalable, secure, and high-performance solutions. Lead technical discovery sessions and translate complex business needs into actionable architecture. Build proofs-of-concept (POCs), live demos, and comprehensive technical documentation for customers and partners. Partner closely with the engineering team to ensure successful implementations and perfect product-market fit. Support pre-sales engagements by presenting technical capabilities and addressing deep-tier customer requirements. Troubleshoot complex integration issues and provide expert guidance on infrastructure best practices. Gather direct customer feedback to influence the product roadmap and future feature sets. Deliver technical enablement sessions, workshops, and onboarding programs for enterprise clients. ? Competitive salary package ? Opportunity to work with cutting-edge cloud and DevOps technologies. ? Join a fast-growing technology company with strong career progression opportunities. ? Work on high-impact infrastructure projects used by enterprise customers. ? Exposure to modern Kubernetes, GitOps, and cloud-native ecosystems. ? Collaborate with highly technical engineering and product teams. ? Be part of a company driving innovation in cloud infrastructure and automation. Onsite presence in Abu Dhabi, UAE. 3+ years of experience in a DevOps, SRE, Solutions Engineering, or Cloud Engineering role. Deep technical expertise in modern infrastructure: Kubernetes, Docker, REST/GraphQL APIs, and CI/CD workflows. Strong scripting or programming proficiency (Python, Go, JavaScript, or similar). Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences. Proven ability to work autonomously and pivot quickly within a fast-paced startup or enterprise environment. Nice-to-Haves Experience with Identity and Access Management (OIDC, SAML, OAuth2). Solid understanding of networking protocols and VPN technologies (WireGuard, IPSec) or distributed systems. Familiarity with observability and monitoring stacks (Grafana, Prometheus, ELK, etc. ). Prior experience working with AI infrastructure, large-scale data platforms, or enterprise SaaS. Contributions to open-source projects or a track record of technical writing (blogs, documentation, etc. ). </div>

0 to 0 years Bayt

GTM Engineer

Remote - UAE 4 June 2026

Sales

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We are seeking a strategic and hands-on GTM Engineer / Revenue Operations Lead to own RemotePass's revenue engine end-to-end - from ICP and target list construction, to tooling, sequencing, reporting, and continuous optimization. This role exists to consolidate strategy, tooling, reporting, and optimization that today sit across multiple functions, and to build the system that compounds outbound performance across all our active markets. The ideal candidate is a hybrid operator: technical enough to wire up Clay, HubSpot, Outreach, and AI-powered tooling without waiting on engineering, and commercial enough to think sharply about ICP, message-market fit, and pipeline conversion. They thrive at the intersection of RevOps, Sales, and Growth, and have a proven track record of moving outbound metrics that matter. Responsibilities: Own the end-to-end outbound strategy - ICP definition, segmentation, target account selection, and channel mix across email, LinkedIn, calling, and signal-based plays. Build and manage the outbound tooling stack - Clay, Apollo, HubSpot, dialers, enrichment platforms, and AI-powered tooling. Design and ship enriched, scored target account lists that feed a steady, high-quality flow into the SDR team. Develop, write, and continuously iterate on outbound sequences based on testing and data insights, run structured A/B tests on subject lines, send-times, channels, and messaging. Build and own the outbound reporting layer from activity-to-meeting, meeting-to-opp, opp-to-revenue and partner with sales leadership on weekly performance reviews. Lead pipeline attribution and the outbound experimentation roadmap, documenting learnings so the team doesn't relearn them. Drive the adoption of AI and LLM-powered outbound - agentic workflows, signal-based triggers (job changes, funding, hiring intent), and personalization at scale. Partner cross-functionally with the SDR team, AEs, RevOps, Marketing, and Data to ensure the outbound system is wired into the broader revenue motion. Act as the technical RevOps lead for any new outbound initiative - new market, new segment, new product motion. Why Join RemotePass? Remote-First Culture: We don’t just sell remote work; we live it. Enjoy the flexibility to work from anywhere. Hyper-Growth: Be part of a company that is consistently recognized for its rapid expansion and innovation. The ability to own a critical function end-to-end, drive measurable impact on the revenue engine, and grow alongside the company as we scale. High agency and ownership. Inclusion Matters: We are committed to building a diverse team. We value different perspectives and empower every individual to bring their authentic self to work. Requirements: 5-7+ years in a GTM Engineering, RevOps, Outbound Operations, or Sales Productivity role at a B2B SaaS company. Proven track record of moving an outbound metric that mattered - meetings booked per rep, reply rate, opportunity conversion, or pipeline created. Hands-on expertise with Clay (or equivalent), Apollo / ZoomInfo, Outreach / Salesloft, and HubSpot. Able to build a multi-step Clay workflow independently. Strong SQL or advanced spreadsheet fluency - pulls own data, builds own dashboards. Comfort with light scripting and API work - webhooks, Zapier or Make, basic Python or JavaScript for automations. Sharp commercial instinct - thinks about ICP, message-market fit, and buyer psychology, not just plumbing. Strong knowledge of the EMEA region with the ability to tailor outbound strategies to multi-country buyers. Experience with AI / LLM-powered outbound, agentic workflows, and personalization at scale is a strong plus. Thrives in a fast-paced, high-growth environment with a strong sense of ownership and accountability. </div>

Full Time 0 to 0 years LinkedIn

Senior Associate Data Solutions Engineering

On-site - UAE - Abu Dhabi Emirate 17 August 2026

Accounting, Finance & Banking

About Us: Mubadala is a global and responsible investment company with US$385 billion assets under management. five global offices and business investments in 50+ countries, with the focus of creating sustainable financial returns for the Government of Abu Dhabi. We have set the ambition to double the size of our portfolio to half a trillion dollars over the next decade. This brings exciting opportunities for people across the organization, enabling them to access new, diverse and challenging experiences. We invest in our people and give you an unrivalled opportunity for growth, development and success, while contributing to Mubadala's positive impact on local and global communities. Join us at Mubadala and make change happen! What you will do: Data solution architecture Design end-to-end solutions across source systems, integration services, the enterprise data platform, Snowflake, semantic layers, APIs and business intelligence products. Translate business outcomes into solution designs, target-state data flows, source-to-target mappings, transformation rules, interface contracts and non-functional requirements. Define reusable integration patterns for structured, semi-structured and external market or Saa S data, spanning batch, API and event-driven approaches. Guide technical decisions on data persistence, history, schema design, data product boundaries and downstream consumption, keeping designs scalable, supportable and aligned to enterprise architecture, security and governance standards. Data engineering and platform delivery Lead, and where required directly contribute to, the design, build and productionisation of ETL/ELT pipelines and reusable data services across cloud and hybrid environments. Coordinate ingestion, transformation, orchestration, error handling, reconciliation and monitoring using platforms such as Informatica IICS, Azure services, Snowflake and Neo4J. Review pipeline performance, data latency, throughput, failure patterns and operating cost, and drive practical remediation and optimisation. Ensure production readiness through automated deployment, version control, environment promotion, rollback planning and runbooks, introducing metadata-driven and configuration-led patterns that reduce manual work. Analytics, BI and business solution enablement Own the data-readiness layer for dashboards, executive reporting, operational analytics and AI use cases, ensuring trusted definitions and consistent calculations. Partner with business teams to define KPIs, validation extracts, dashboard requirements, user personas, refresh frequency, access rules and acceptance criteria. Guide Power BI solution design, including semantic models, dataflows, row-level security, workspace promotion, validation and production support. Challenge unclear or changing requirements and convert them into signed-off requirements, mappings, formulas and controlled revisions, including executive and mobile analytics experiences where security, performance and clarity are critical. Data quality, governance and security Embed data-quality checks, reconciliation controls and exception reporting into pipelines and data products, and define reusable data-quality rules with transparent reporting of failures. Ensure lineage, ownership, data definitions, business rules, source-to-target mappings and transformation logic are documented and maintained, with auditability across environments. Implement role-based security controls and encryption for data at rest and in transit, in line with UAE data privacy regulations and GDPR principles. Work with governance teams to align data products with the enterprise glossary, catalogue, classification, retention and privacy requirements, and drive resolution of source-data issues through evidence-based analysis and clear ownership. Delivery leadership and stakeholder management Lead delivery across multi-disciplinary teams without relying on formal line authority, setting priorities, sequencing dependencies and maintaining clear accountability. Coordinate with business product owners, investment teams, Human Capital, audit, finance, AI teams, vendors and managed-service partners to deliver agreed outcomes. Run solution workshops, design reviews, backlog reviews, UAT readiness sessions, issue-resolution calls and go-live checkpoints. Provide concise, evidence-based status updates covering progress, blockers, decisions, risks and dependencies, balancing tactical delivery needs with long-term platform integrity. Testing, release and operational assurance Define SIT, UAT, regression, reconciliation and security test scenarios with clear acceptance criteria and traceable sign-off. Ensure every production change follows approved release and change-management processes, including impact assessment, rollback, validation and business confirmation. Lead incident triage and root-cause analysis for data, access and reporting issues, oversee service transition, support models, SLAs and escalation paths, and convert lessons learned into preventive controls. Team enablement, innovation and knowledge transfer Mentor engineers, analysts and consultants on solution design, data modelling, documentation, testing, troubleshooting and secure delivery practices. Establish reusable templates, coding standards, design patterns, checklists and code repositories, and review technical outputs before business or production release. Conduct training sessions and workshops for internal stakeholders, and develop knowledge repositories and best-practice documentation that support reuse and future scaling. Evaluate emerging technologies, including AI-assisted engineering, serverless ETL, cloud-native orchestration, containerised deployment and observability, where they provide measurable value. What will you bring: Experience Minimum 10 years of relevant experience in enterprise data, analytics, integration or solution architecture, including significant hands-on delivery responsibility. Proven experience delivering data solutions from requirement definition through design, build, testing, production deployment and support. Experience with Snowflake, SQL, data warehouse or lakehouse architecture, ETL/ELT platforms and cloud data services, with strong proficiency in SQL and scripting languages such as Python or Scala. Practical experience with Informatica IICS or comparable enterprise integration tooling, alongside Dev Ops and Data Ops practices including Git version control and CI/CD automation (Azure Dev Ops, Jenkins). Hands-on experience with real-time streaming platforms such as Apache Kafka and data integration for hybrid architectures. Experience designing secure analytics solutions with Power BI, semantic models, row-level security and controlled production release, with practical exposure to wider BI ecosystems such as Tableau for data readiness checks. Experience working with business-critical, confidential or regulated data, applying governance, privacy and access-control requirements. Experience coordinating vendors, consultants and cross-functional delivery teams in a complex enterprise environment. Exposure to investment data, Human Capital analytics, enterprise reporting or AI data enablement is highly advantageous. Education and certifications Bachelor's degree in Computer Science, Data Engineering, Information Systems or a related quantitative or technical discipline. Postgraduate study or certification in cloud data engineering is an advantage. Preferred certifications include Microsoft Certified: Azure Data Engineer Associate, and Snowflake, Informatica, Power BI or data architecture certifications relevant to the enterprise stack. Data governance, security, TOGAF, ITIL, Dev Ops or Data Ops certification is also valued. Expected proficiency Architecture and engineering Data solution architecture, dimensional modelling, data products, data contracts, ETL/ELT, APIs, batch patterns, orchestration and cloud integration. Enterprise platforms Snowflake, Informatica IICS, Azure data services, Power BI, SQL, Python or comparable scripting, Git and CI/CD. Security and governance RBAC, row-level security, masking, least privilege, service accounts, lineage, auditability, classification and privacy controls. Delivery management Requirements definition, estimation, dependency management, risk and issue resolution, UAT, release readiness and service transition. Business engagement Ability to convert complex business needs into clear technical outcomes and explain technical trade-offs to senior stakeholders. Leadership Strong judgement, ownership, mentoring capability and confidence to lead multidisciplinary teams through ambiguity. Communication Clear written and verbal communication, including concise status reporting, design documentation and decision records. Problem solving Structured troubleshooting, root-cause analysis, data reconciliation and pragmatic decision-making under delivery pressure. What we offer: A superior platform to grow your career including: A role that has social and financial impact Great working environment with talented colleagues Market leading pay and benefits including performance pay. Hybrid working and wellness benefits to help you live your best work and private life. Opportunity to grow and develop through learning and experience. Excellent work culture enabled by our values of Accountability, Inspiration, Integrity & Partnership Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership You will operate in a diverse, energetic and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits. Key Indicators: Location: Abu Dhabi Flexible Working: Remote working up to 5 days a month.

0 to 0 years Bayt

Computer Vision Engineer

On-site - UAE 28 July 2026

Telecom & Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> The successful candidate will be responsible for developing end-to-end perception pipelines, optimizing machine learning models for edge deployment, and ensuring reliable performance under challenging conditions such as occlusion, varying lighting, motion, environmental interference, and complex multi-object scenarios. Key Responsibilities <ul> <li>Design, develop, train, and optimize computer vision and machine learning models for object detection, classification, recognition, and tracking. </li><li>Develop robust multi-object tracking and re-identification solutions capable of maintaining continuity through occlusions, rapid movement, environmental challenges, and sensor variations. </li><li>Create object selection, prioritization, and decision-making algorithms for complex scenes containing multiple targets or points of interest. </li><li>Optimize machine learning models for deployment on embedded and edge computing platforms, ensuring efficient operation within real-time processing and resource constraints. </li><li>Define, monitor, and improve key performance indicators including detection accuracy, tracking stability, false alarm rates, response latency, and target reacquisition performance. </li><li>Develop and maintain data collection, annotation, augmentation, and dataset management processes to support model development and continuous improvement. </li><li>Build simulation, validation, and testing environments to evaluate algorithm performance across diverse operational scenarios. </li><li>Design interfaces between perception components and downstream software systems, ensuring accurate transfer of object state information, confidence metrics, timestamps, and spatial data. </li><li>Support system integration, verification, validation, and performance testing activities. </li><li>Conduct root-cause investigations, performance analysis, and model tuning to address edge cases and challenging operating conditions. </li><li>Research and evaluate emerging computer vision, machine learning, and artificial intelligence techniques to improve system capabilities. </li><li>Produce technical documentation covering algorithms, model architecture, performance results, validation activities, limitations, and deployment strategies. </li></ul> Requirements <ul> <li>Strong proficiency in Python and C++ with extensive experience developing production-quality software applications. </li><li>Deep knowledge of computer vision, machine learning, and deep learning methodologies. </li><li>Hands-on experience with object detection, object classification, segmentation, and multi-object tracking algorithms. </li><li>Strong experience with modern deep learning frameworks such as PyTorch, TensorFlow, or equivalent technologies. </li><li>Experience optimizing and deploying machine learning models on embedded, edge, GPU-accelerated, FPGA-based, or specialized AI hardware platforms. </li><li>Working knowledge of image processing techniques including image enhancement, denoising, stabilization, super-resolution, and feature extraction. </li><li>Familiarity with multiple sensor technologies, including visible-light, thermal, infrared, and other imaging systems. </li><li>Experience evaluating model performance using quantitative metrics and validation methodologies. </li><li>Understanding of real-time perception systems and low-latency processing requirements. </li><li>Experience with software development best practices, including version control, testing frameworks, continuous integration, and code reviews. </li><li>Strong analytical, troubleshooting, and problem-solving capabilities. </li><li>Ability to work independently while collaborating effectively within multidisciplinary engineering environments. </li><li>Excellent written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. </li></ul> Qualifications <ul> <li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, Robotics, Data Science, or a related technical discipline. </li><li>Minimum of 6 years of hands-on experience in computer vision, machine learning, artificial intelligence, or related fields. </li><li>Demonstrated experience developing and deploying real-world perception systems for robotics, automation, intelligent devices, industrial systems, autonomous platforms, or similar technology domains. </li><li>Strong understanding of end-to-end perception architectures, sensor integration, real-time data processing, and edge-computing environments. </li><li>Experience with large-scale dataset development, annotation workflows, model training pipelines, and performance optimization. </li><li>PhD in a relevant field is considered an advantage. </li></ul> Preferred Experience <ul> <li>Real-time object detection and tracking systems. </li><li>Multisensor and sensor-fusion applications. </li><li>Edge AI and embedded machine learning deployment. </li><li>Robotics, automation, intelligent systems, or autonomous technologies. </li><li>Performance optimization for low-latency and resource-constrained environments. </li><li>Large-scale machine learning model development and operational deployment. </li></ul> </div>

Full Time 3 to 5 years Naukri Gulf

Senior Mobile Engineer

On-site - UAE - Dubai 20 July 2026

Information Technology

About KingoMart KingoMart is a B2B e-commerce marketplace connecting suppliers and business buyers. Our platform today consists of a customer storefront (Next.js + React + TypeScript), an internal admin panel (React + TypeScript), and a FastAPI + PostgreSQL backend that publishes a typed OpenAPI contract. Everything user-facing is TypeScript, and mobile will be too. The role You will be our first and founding mobile engineer. You own the mobile architecture end to end: you will build and ship our customer storefront app for Android and iOS (React Native + Expo, TypeScript), and later a second app for our suppliers. The monorepo, typed API client, and build-service decisions (Expo EAS) are already in place you take them from skeleton to shipped product, and you own every release that follows. This is a high-ownership role: you set the technical standards, the release process, and the quality bar that the whole mobile codebase will live with for years. What you will do <ul><li>Build and ship the KingoMart storefront app (catalog, search, cart, checkout, orders, account) to both the App Store and Google Play.</li><li>Own the mobile architecture: navigation, state management, offline/caching strategy, deep linking, and push notifications documented in ADRs.</li><li>Own release engineering: EAS builds, store submissions, staged rollouts, over-the-air updates, crash monitoring, and rollback strategy.</li><li>Integrate with our FastAPI backend through the shared OpenAPI-generated TypeScript client.</li><li>Establish testing practices (unit, component, and end-to-end) and the CI checks that enforce them.</li><li>Later: build the supplier-panel app on the foundations you laid shared design system, auth, and API layer.</li><li>Work alongside our web engineers (React/TypeScript); code review flows both ways.</li></ul>Desired Candidate Profile<ul><li>Experience - 5+ years of software engineering, with 3+ years of React Native in production and strong TypeScript.</li><li>Shipped and maintained - at least two apps live in both the App Store and Play Store maintained through OS releases, store policy changes, and at least one major React Native upgrade or architecture migration.</li><li>Expo ecosystem - EAS Build / Submit / Update, config plugins, development builds, Continuous Native Generation.</li><li>Native literacy - able to read and write basic Swift and Kotlin - enough to debug a native crash, write a config plugin, or wrap a native SDK.</li><li>Navigation & deep linking - Expo Router or React Navigation; universal links / app links; push-notification routing.</li><li>State & data - clear judgment on server state vs client state (e.g. TanStack Query + a light client store), and cart/checkout state design.</li><li>Offline & caching - cache-first browsing, optimistic updates with rollback, queued mutations with sync and conflict handling.</li><li>Push notifications - FCM + APNs end to end: permission UX, token lifecycle, payload design, all three app states.</li><li>Performance - list virtualization, image pipelines, Hermes profiling, startup time, and re-render analysis on real devices.</li><li>Testing - Jest + React Native Testing Library; E2E with Maestro or Detox; a coherent view of what to test at which layer.</li><li>Release engineering - staged rollouts, OTA update policy and its store-policy boundaries, versioning, crash monitoring (Sentry or similar).</li><li>Security - Keychain/Keystore for tokens (never AsyncStorage), secure deep-link handling, store privacy declarations.</li></ul> Nice to have <ul><li>AI experience - Familiarity with AI-powered applications, LLM APIs (e.g. OpenAI), AI-assisted features such as chat, recommendations, semantic search, and prompt engineering. Experience integrating AI services into mobile applications is a strong advantage.</li><li>E-commerce or B2B app experience; payment SDK integration (Stripe, Adyen, or similar).</li><li>Monorepo experience (Turborepo/Nx or pnpm workspaces) sharing code with React web apps.</li><li>Comfortable occasionally contributing to our React web codebases (Next.js storefront, Vite admin).</li><li>Analytics and experimentation in mobile release cadences; App Store / Play Store review battle scars.</li><li>Accessibility (VoiceOver/TalkBack), i18n/RTL (our storefront ships English, French, and Arabic).</li><li>Able to read Python well enough to follow a FastAPI endpoint.</li><li>React Native New Architecture migration experience. </li></ul>Our stack (context, not requirements) <ul><li>Storefront web: Next.js 16, React 19, TanStack Query, Tailwind, next-intl.</li><li>Admin panel: Vite + React + TypeScript, shadcn/ui.</li><li>Backend: FastAPI + PostgreSQL; OpenAPI contract with generated TypeScript clients.</li><li>Mobile (yours): Expo SDK 57+, Expo Router, pnpm + Turborepo monorepo, EAS.</li></ul>

0 to 0 years Bayt

IT Engineer

On-site - UAE 8 July 2026

Information Technology

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Overview: Analog is pioneering the era of physical intelligence. Where digital intelligence transformed our online lives, Analog is transforming the lived world, making cities more adaptive, industries more resilient, services more human centered, and experiences more extraordinary. At the heart of our approach are living world models, continuously updated, enriched by every capture point, every device, every interaction. Within them resides Ana, the Analog Neural Agent. Ana perceives, adapts, and guides, transforming raw data into foresight and orchestration that improves outcomes across sectors, from safeguarding high-value assets to enhancing human performance. IT Engineer ( ITOps) We are seeking a proactive and detail-oriented IT Engineer to own and scale our internal IT infrastructure and operations. This role is responsible for ensuring secure, reliable, and efficient IT systems that empower our team to do their best work. You will manage end-user support, SaaS systems, device lifecycle management, identity and access management (IAM), and security best practices across the organization. This is a hands-on role ideal for someone who thrives in fast-paced environments and enjoys building scalable IT foundations from the ground up. Responsibilities: IT Operations & End-User Support <ul><li>Provide support for hardware, software, and network issues</li><li>Manage onboarding and offboarding processes (device provisioning, access control, account setup)</li><li>Own device lifecycle management (MDM, procurement, configuration, asset tracking)</li><li>Maintain documentation for IT processes, systems, and policies</li></ul>Identity & Access Management <ul><li>Administer SSO, MFA, and role-based access controls</li><li>Manage provisioning/deprovisioning workflows across SaaS tools</li><li>Conduct periodic access reviews and ensure least-privilege principles</li></ul>Systems & Infrastructure <ul><li>Manage and optimize core SaaS stack (e.g., Microsoft Suite, Slack, Notion, Jira, etc.)</li><li>Monitor system performance and uptime</li><li>Support networking infrastructure (VPN, Wi-Fi, firewall configurations where applicable)</li><li>Partner with Security on endpoint protection, patching, and compliance controls</li></ul>Security & Compliance <ul><li>Implement and maintain endpoint security tools (EDR, MDM, disk encryption)</li><li>Support audit readiness (SOC 2, ISO 27001, etc.)</li><li>Enforce IT policies and best practices</li><li>Assist in incident response and root cause analysis</li></ul>Procurement & Vendor Management <ul><li>Own IT procurement processes for hardware, software, and SaaS tools</li><li>Manage vendor relationships, renewals, and licensing agreements</li><li>Track IT budget related to hardware, software subscriptions, and tooling</li><li>Optimize license utilization and SaaS spend</li><li>Partner with Finance and Security on vendor reviews and due diligence</li><li>Maintain accurate asset inventory and cost tracking</li></ul>Automation & Continuous Improvement <ul><li>Identify and implement automation opportunities (e.g., onboarding workflows, device configuration)</li><li>Improve IT processes for scalability and efficiency</li><li>Evaluate and recommend new tools and technologies</li></ul> Qualifications: <ul><li>6+ years of experience in IT Operations, IT Support, or Systems Administration</li><li>Experience managing SaaS environments and SSO platforms (e.g., Okta, Azure AD)</li><li>Experience managing IT procurement, vendor relationships, and SaaS licensing</li><li>Hands-on experience with MDM tools (e.g., Jamf, Kandji, Intune)</li><li>Strong understanding of endpoint security best practices</li><li>Experience with Mac and Windows environments</li><li>Familiarity with networking fundamentals (DNS, DHCP, VPNs, firewalls)</li><li>Experience supporting compliance frameworks (SOC 2, ISO, etc.) is a plus</li><li>Strong documentation and communication skills</li></ul>Nice to Have <ul><li>Experience in a high-growth startup</li><li>Scripting or automation experience (Bash, Python, PowerShell)</li><li>Familiarity with zero-trust security models</li><li>Experience with cloud infrastructure environments (AWS, GCP, Azure)</li><li>Experience building procurement or asset management processes from scratch</li></ul> What Working At Analog Offers <ul><li>Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we’re united by a belief that technology should amplify human potential rather than replace it.</li><li>Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.</li><li>Growth: Outstanding opportunities for learning and career development. You’ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.</li><li>Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.</li></ul> </div>

Bayt

Business Analyst

On-site - UAE 7 August 2026

Research & Development

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description instashop, headquartered in Dubai, is the leading online local marketplace in the UAE and Egypt . Since joining the Delivery Hero family in 2020, the global leader in online food delivery and q-commerce, instashop has been setting the standard for excellence and convenience in the region. With a dynamic and motivated team fueled by passion and innovation, every day at instashop is an opportunity for growth and success. We champion inclusivity, diversity and collaboration, creating an environment where everyone’s achievements are celebrated and where success is the only way forward. As we continue to grow, our team keeps expanding across the UAE, Egypt and Greece, and we’re always on the lookout for new talents to join us on our success journey. Job Description We are looking for a curious and analytical Business Analyst who can work with large datasets, translate business questions into structured analyses, and turn insights into actionable recommendations. The role will work closely with Commercial, Marketing, Operations, Product, and other teams to evaluate performance, identify opportunities, and support data-driven decisions. Strong hands-on SQL skills are essential, along with an interest in using AI to make analytics faster and more scalable. <ul><li>Analyse business performance across growth, customer behaviour, revenue, profitability, marketing, and operations.</li><li>Independently write and optimise SQL queries to extract and analyse large datasets.</li><li>Conduct deep dives to identify trends, performance gaps, growth opportunities, and key business drivers.</li><li>Analyse customer behaviour across acquisition, retention, churn, frequency, cohorts, and segmentation.</li><li>Support business cases, forecasting, scenario modelling, and impact estimation for new initiatives.</li><li>Build dashboards and recurring reports using BI and visualisation tools.</li><li>Partner with cross-functional teams to define KPIs and provide clear, commercially relevant recommendations.</li><li>Ensure accuracy and reliability of analytical outputs.</li></ul>AI in Analytics <ul><li>The candidate should actively use AI as part of the analytics workflow, including:</li><li>Accelerating SQL development, debugging, and analysis.</li><li>Structuring analytical approaches and generating hypotheses.</li><li>Automating repetitive reporting and analytical tasks.</li><li>Improving insight generation, documentation, and stakeholder communication.</li></ul>AI should enhance analytical thinking, not replace it. Qualifications <ul><li>3-5 years of experience in Business Analytics, Data Analytics, Strategy Analytics, Growth Analytics, or a related field.</li><li>Strong hands-on SQL skills.</li><li>Strong Excel / Google Sheets skills.</li><li>Experience with BI tools such as Tableau, Power BI, Looker, Metabase, or similar.</li><li>Strong analytical, problem-solving, and structured thinking skills.</li><li>Ability to translate data into clear business recommendations.</li><li>Comfortable working with multiple stakeholders in a fast-paced environment.</li><li>Practical exposure to generative AI tools in analytical workflows.</li></ul>Nice to Have <ul><li>Experience in e-commerce, marketplaces, quick commerce, retail, fintech, or consumer technology.</li><li>Exposure to Python.</li><li>Understanding of A/B testing and experimentation.</li><li>Experience with customer lifecycle, marketing, pricing, retention, churn, or unit economics.</li></ul> </div>

Bayt

AI Engineer / Agentic AI Developer

On-site - UAE 7 August 2026

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

Bayt

Senior Software Engineer - Systems & Edge (Real-Time)

On-site - UAE 5 August 2026

Media & Journalism

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter. Role Overview We’re looking for a Senior Software Engineer to work on real-time systems powering traffic detection and smart mobility solutions while also contributing to web applications, APIs, and third-party integrations. This role combines systems engineering and software development, with approximately 75% of the work focused on real-time edge and backend systems and 25% focused on application development, integrations, and operational tooling. You'll work across Linux-based systems, cloud-connected services, internal tools, dashboards, and live traffic deployments where reliability, performance, and scalability are critical. Key Responsibilities Design, develop, and maintain production-grade software systems across edge and cloud environments. Build and optimize real-time data processing pipelines and system services supporting live traffic deployments. Develop and maintain backend services, REST APIs, and integrations with third-party platforms and services. Contribute to internal web applications, dashboards, and operational tools used for monitoring and managing deployed systems. Integrate software with sensors, cameras, traffic controllers, and other edge devices. Profile, debug, and optimize system performance across application, operating system, and networking layers. Troubleshoot and resolve complex production issues in distributed and real-time environments. Improve system observability through logging, monitoring, diagnostics, and performance tracking. Build and maintain CI/CD pipelines, deployment workflows, and automation tooling. Collaborate with ML, QA, deployment, and product teams to deliver robust, production-ready solutions. 8+ years of experience in software engineering or a related field Strong experience with C++, Python, or both. Solid Linux development experience. Experience building, maintaining, or integrating backend services, REST APIs, and web applications. Experience working with third-party APIs and software integrations. Strong understanding of multithreading, concurrency, system performance, and production troubleshooting. Working knowledge of networking fundamentals, including TCP/IP, DNS, routing, and secure connectivity. Experience with Git, testing frameworks, and CI/CD practices. Experience with cloud platforms, containerized applications, or distributed systems is a plus. Exposure to edge computing, embedded Linux, hardware integration, sensors, or IoT systems is a plus. Familiarity with frontend technologies, internal tooling, dashboards, or operational web applications is a plus. Familiarity with computer vision pipelines or ML-powered systems is a plus. </div>

3 - 6 Years Naukri Gulf

AI Specialist

On-site - UAE - Abu Dhabi 4 August 2026

Engineering

LLM Solution Design & Development<ul><li>Architect and deliver production-ready LLM applications, including conversational agents, intelligent assistants, and RAG pipelines with advanced retrieval and re-ranking.</li><li>Build multi-agent systems using Lang Chain, Lang Graph, Auto Gen, or Crew AI; apply prompt engineering techniques to optimize model performance.</li><li>Integrate LLM solutions with enterprise systems via REST APIs and event-driven architectures.</li></ul>Model Fine-Tuning & Optimization<ul><li>Lead fine-tuning (LoRA, QLoRA, instruction tuning) and benchmark foundation models such as Open AI, Mistral, Llama, and Gemini for specific use cases.</li><li>Optimize for latency, cost, and throughput; design evaluation frameworks to measure accuracy, hallucination, and safety.</li></ul>Agentic AI & Workflow Automation<ul><li>Design agentic workflows with tool use, memory management, planning loops, and human-in-the-loop controls.</li><li>Build AI-driven automation pipelines across structured and unstructured enterprise data sources.</li></ul>Vector Databases & Knowledge Infrastructure<ul><li>Design and manage vector stores (Pinecone, Weaviate, Qdrant, FAISS, or PG Vector) with semantic and hybrid search strategies.</li><li>Maintain knowledge bases powering enterprise AI applications, ensuring accuracy and freshness of indexed content.</li></ul>Technical Leadership & Mentoring<ul><li>Guide and review the work of associate-level engineers; contribute to reusable frameworks and internal engineering standards.</li><li>Lead client workshops, technical discovery sessions, and proof-of-concept demonstrations; produce clear solution design documentation.</li></ul>Trend Monitoring & Innovation<ul><li>Evaluate emerging LLMs, multimodal models, and local inference runtimes; prototype new tools and share findings with the team.</li><li>Contribute to Beinex thought leadership through internal knowledge-sharing sessions, technical write-ups, or industry presentations.</li></ul>Desired Candidate Profile<ul><li>5+ years of professional experience in AI Engineering, Machine Learning, or Applied NLP, with at least 2 years focused on LLMs and Generative AI.</li><li>Strong proficiency in Python and experience with Hugging Face Transformer Library, Lang Chain, Lang Graph, Fast API, and PyTorch.</li><li>Deep practical knowledge of LLM fine-tuning, prompt engineering, RAG pipeline design, and agentic AI development.</li><li>Hands-on experience with vector databases such as Pinecone, Weaviate, Qdrant, FAISS, or PG Vector, along with embedding models.</li><li>Proven ability to deploy and productionize AI solutions in AWS, Azure, or GCP using Docker and Kubernetes.</li><li>Experience integrating AI solutions with enterprise platforms through REST APIs, webhooks, or event-driven architectures.</li><li>Strong understanding of responsible AI principles, including hallucination mitigation, output evaluation, content safety, and model governance.</li><li>Excellent communication skills with the ability to explain complex technical concepts to both technical and business stakeholders.</li><li>Demonstrated ability to independently lead AI projects from solution design through production deployment.</li></ul>Preferred Certifications<ul><li>AWS Certified Machine Learning – Specialty, Azure AI Engineer, GCP Professional Machine Learning Engineer, or equivalent cloud AI/ML certification.</li><li>Deep Learning Specialization.</li><li>LLM Engineering or Generative AI certifications from recognized learning platforms such as Hugging Face, DeepLearning AI, or Databricks.</li><li>Certified Kubernetes Application Developer (CKAD) is an added advantage.</li></ul>

Full Time 7 - 11 Years Naukri Gulf

Network Security Engineer

On-site - UAE - Dubai 23 July 2026

Information Technology

Key Roles and Responsibilities<ol><li>Network Security Design and Implementation<ul><li>Design secure network architectures.</li><li>Configure firewalls, VPNs, routers, and switches.</li><li>Implement network segmentation and access controls.</li></ul></li><li>Firewall and Security Device Management<ul><li>Install, configure, and maintain firewalls.</li><li>Manage Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS).</li><li>Configure Web Application Firewalls (WAFs).</li></ul></li><li>Network Monitoring<ul><li>Monitor network traffic for suspicious activities.</li><li>Analyze security logs using SIEM tools.</li><li>Detect and respond to security incidents.</li></ul></li><li>Vulnerability Assessment and Risk Management<ul><li>Perform vulnerability scans.</li><li>Identify and remediate security weaknesses.</li><li>Conduct risk assessments and recommend security improvements.</li></ul></li><li>Incident Response<ul><li>Investigate network security incidents.</li><li>Contain, eradicate, and recover from cyberattacks.</li><li>Conduct root cause analysis and prepare incident reports.</li></ul></li><li>Access Control Management<ul><li>Implement Identity and Access Management (IAM).</li><li>Configure authentication protocols such as MFA, RADIUS, and TACACS+.</li><li>Enforce least-privilege access policies.</li></ul></li><li>Security Policy Implementation<ul><li>Develop and enforce network security policies.</li><li>Ensure compliance with organizational security standards.</li><li>Document security procedures and configurations.</li></ul></li><li>Patch and Configuration Management<ul><li>Apply firmware and software updates.</li><li>Harden network devices following security best practices.</li><li>Maintain secure configurations.</li></ul></li><li>Disaster Recovery and Business Continuity<ul><li>Develop backup and recovery plans.</li><li>Ensure network redundancy and high availability.</li><li>Participate in disaster recovery testing.</li></ul></li><li>Compliance and Auditing<ul><li>Support compliance with standards such as ISO 27001, PCI DSS, HIPAA, or NIST.</li><li>Prepare documentation for security audits.</li><li>Address audit findings.</li></ul></li><li>Collaboration<ul><li>Work with system administrators, cloud engineers, SOC analysts, and IT teams.</li><li>Support security awareness initiatives.</li><li>Assist in implementing secure network changes.</li></ul></li></ol>Common Tools Used<ul><li>Firewalls: Palo Alto, Fortinet, Cisco ASA/Firepower, Check Point</li><li>SIEM: Splunk, Microsoft Sentinel, QRadar</li><li>IDS/IPS: Snort, Suricata</li><li>VPN: Cisco AnyConnect, OpenVPN</li><li>Network Monitoring: Wireshark, SolarWinds, PRTG, Nagios</li><li>Vulnerability Scanners: Nessus, Qualys, OpenVAS</li><li>Cloud Security: AWS Security Groups, Azure NSGs, Google Cloud Firewall</li></ul>Essential Skills<ul><li>TCP/IP, DNS, DHCP, VLANs, Routing, Switching</li><li>Network protocols and packet analysis</li><li>Firewall administration</li><li>VPN technologies (IPSec, SSL VPN)</li><li>Network Access Control (NAC)</li><li>SIEM and log analysis</li><li>Linux and Windows administration</li><li>Scripting (Python, Bash, PowerShell)</li><li>Cloud networking and security</li><li>Incident response and troubleshooting</li></ul>Typical Daily Activities<ul><li>Monitor network security alerts.</li><li>Review firewall and VPN logs.</li><li>Respond to security incidents.</li><li>Implement firewall rule changes.</li><li>Conduct vulnerability scans.</li><li>Patch network devices.</li><li>Analyze suspicious network traffic.</li><li>Document network changes and security incidents.</li><li>Collaborate with IT and security teams to strengthen network defenses.</li></ul>Certifications That Add Value<ul><li>Cisco CCNA Security / CCNP Security</li><li>CompTIA Security+</li><li>CompTIA CySA+</li><li>Certified Information Systems Security Professional (CISSP)</li><li>Certified Ethical Hacker (CEH)</li><li>Palo Alto Networks Certified Network Security Engineer (PCNSE)</li><li>Fortinet NSE Certification</li><li>GIAC Certified Incident Handler (GCIH)</li></ul>A Network Security Engineer plays a critical role in protecting enterprise networks from cyber threats while ensuring secure, reliable, and compliant network operations.Desired Candidate ProfileCisco CCNA Security / CCNP Security

Bayt

Deployment Consultant

On-site - UAE 23 July 2026

Fashion, Retail & Textile

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> We are seeking a Dell Deployment Consultant (Russian Speaker) to support the deployment, implementation, and integration of Dell Technologies solutions for enterprise customers. The ideal candidate will work closely with customers, project managers, and technical teams to plan, install, configure, and deploy Dell infrastructure solutions while ensuring successful project delivery and high customer satisfaction. The role requires fluency in Russian and English , strong technical deployment experience, and the ability to manage customer engagements throughout the deployment lifecycle. Key Responsibilities Lead the deployment and implementation of Dell Technologies solutions for enterprise customers. Install, configure, and deploy Dell infrastructure products, including servers, storage, virtualization, and related solutions. Gather customer requirements and translate them into deployment plans. Perform solution installation, configuration, testing, validation, and go-live activities. Execute system upgrades, migrations, and deployment activities with minimal business disruption. Collaborate with project managers, architects, engineers, and support teams throughout the project lifecycle. Conduct system health checks and deployment verification. Support hardware and software integration activities. Perform troubleshooting during deployment and coordinate issue resolution with Dell technical support when required. Develop implementation documentation, deployment guides, and technical reports. Deliver knowledge transfer and end-user or administrator training. Ensure deployments follow Dell best practices and customer requirements. Provide post-deployment support and transition projects to the support team. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Fluent Russian and English (spoken and written) is mandatory. 3+ years of experience in deployment, implementation, or professional services. Hands-on experience with Dell Technologies infrastructure solutions. Experience deploying Dell PowerEdge Servers, Dell PowerStore, PowerMax, PowerScale, Unity XT, or other Dell storage solutions. Experience with VMware vSphere or Microsoft Hyper-V virtualization platforms. Knowledge of Windows Server and Linux operating systems. Understanding of networking concepts including TCP/IP, VLANs, DNS, DHCP, and SAN technologies. Experience with data migration and infrastructure deployment projects. Strong troubleshooting and analytical skills. Excellent customer-facing communication skills. Preferred Qualifications Dell Technologies certifications (DCA, DCS, DCE, or equivalent). Experience with VMware, Microsoft, or Red Hat technologies. Knowledge of backup and disaster recovery solutions. Experience with cloud platforms such as Microsoft Azure or AWS. Familiarity with automation and scripting tools such as PowerShell, Bash, or Python. ITIL Foundation certification is an advantage. Soft Skills Strong customer service orientation. Excellent communication and presentation skills. Ability to manage multiple deployment projects simultaneously. Strong organizational and documentation skills. Ability to work independently and within international teams. Willingness to travel if required. Preferred Experience Enterprise infrastructure deployment. Data center implementation and migration projects. Dell Technologies Professional Services experience. Multi-country or multinational customer deployments. Experience working in a consulting or system integrator environment. </div>

Full Time 2 - 5 Years Naukri Gulf

Pricing Manager

On-site - UAE - Dubai 10 July 2026

Other

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">The Pricing Manager is responsible for managing the B2C channel of the global aftersales team, driving customer-centric pricing strategies for Al-Futtaim's automotive brands. This role is pivotal in ensuring market-driven price positioning and profitable job offerings. The manager oversees the alignment of retail prices with brand target margins, and manages the revision process, understanding margin drivers, and continuously seeks improvement opportunities. Working in a fast-paced, matrix organization, the role requires collaboration with wider aftersales stakeholders to achieve business goals. The position involves designing pricing structures, preparing budgets, implementing pricing strategies, reporting on performance, managing teams, and assuring organizational standards are met. What You Will Do: <ul><li>Support the Head of Pricing in preparing quarterly and annual budgets.</li><li>Design and implement fixed-price service offerings for key repair jobs, ensuring competitiveness and profitability.</li><li>Develop and optimize retail pricing structures across brands to improve SPVIO and overall gross margins.</li><li>Identify pricing improvement opportunities through data analysis, visualizations, and business cases.</li><li>Manage and continuously enhance the menu pricing solution, including validation and adoption of new jobs.</li><li>Drive new brand inclusion within menu pricing and support digitalization initiatives to unlock margin growth opportunities.</li><li>Develop value-based pricing strategies for Segment 2 and other target customer segments.</li><li>Support the development and governance of goodwill policies, including customer and business contribution ratios.</li><li>Utilize statistical analysis and data visualization techniques to improve business performance and decision-making.</li><li>Create, implement, and review labour pricing structures to maximize efficiency and profitability.</li><li>Collaborate with Tier 1 and Tier 2 stakeholders to minimize cannibalization while protecting gross margins.</li><li>Monitor revenue and margin performance, providing insights on variances against budgets and forecasts.</li><li>Track and report recommended work conversion rates and pricing effectiveness.</li><li>Ensure B2C pricing SOPs are current, compliant, and aligned with operational requirements.</li><li>Develop dashboards and reporting tools to provide actionable insights on retail pricing performance.</li><li>Lead and manage the B2C Aftersales Pricing team, ensuring delivery against agreed KPIs.</li><li>Oversee discount structures across all brands, including staff discount programs and retail price revisions.</li><li>Manage pricing governance, cost adjustments, process improvements, and timely pricing of new products across all channels.</li></ul> </div></section><section>Desired Candidate Profile<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills, especially in translating technical knowledge for non-technical audiences.</li><li>Proven commercial mindset, understanding customer impact.</li><li>Advanced proficiency in MS Excel and PowerPoint.</li></ul> What Qualifies You For The Role: <ul><li>Bachelor's Degree in Business Administration, Economics, Mathematics, or Finance; MBA preferred.</li><li>Minimum 5 years of work experience in a multinational environment within the automotive sector, ideally with a distributor and OEM.</li><li>2+ years of hands-on experience using analytical tools (e.g., R, Python) for solving real-world problems, preferably with knowledge in pricing analytics.</li><li>Experience with Tableau or other data visualization tools such as Power BI, SAS, or SAP Business Objects.</li></ul> </section>

Full Time 8 - 15 Years Naukri Gulf

AI Technical Lead

On-site - UAE - Dubai 29 June 2026

Construction & Real Estate

<section>Job DescriptionRoles & Responsibilities<div class="paragraph"><ul><li>Identify AI opportunities across products, software development, QA, DevOps, support, sales, finance, HR, and operations.</li><li>Establish responsible AI practices covering security, privacy, compliance, explainability, auditability, and human oversight.</li><li>Present AI adoption progress, effectiveness and risks to executive leadership.</li><li>Lead AI research, experimentation, prototyping, proof-of-concepts, and MVP development.</li><li>Evaluate emerging AI technologies, LLMs, frameworks, tools, platforms, and cloud AI services.</li><li>Build reusable AI components, prompt libraries, knowledge bases, automation templates, and internal accelerators.</li><li>Convert R&D outcomes into production-ready product features, internal tools, or strategic business capabilities.</li><li>Act as the company’s AI champion and drive AI adoption across all departments.</li><li>Conduct awareness sessions, training programs, workshops, and use-case discovery sessions.</li><li>Help teams use AI to improve productivity, documentation, development, testing, support, analysis, and decision-making.</li><li>Create internal AI usage guidelines, prompt engineering guides, best practices, and safe-use policies.</li><li>Track adoption, productivity gains, quality improvements, and process efficiencies.</li><li>Lead the design and implementation of AI-powered features within the company’s products.</li><li>Build and deploy Agentic workflows, copilots, chatbots, intelligent assistants, smart search, document intelligence, analytics, and automation features.</li><li>Work with product, architecture, development, QA, DevOps, and business teams to deliver secure, scalable, and reliable AI solutions.</li><li>Design AI solution architectures using LLMs, RAG pipelines, vector databases, APIs, orchestration frameworks, cloud services, and monitoring tools.</li><li>Support AI-related product demos, client presentations, proposals, and solution positioning.</li></ul></div></section><section>Desired Candidate Profile<ul><li>Master’s degree in AI, Data Science, Computer Science, Business Analytics, or Technology Management is preferred.</li><li>Certifications in AI, cloud platforms, data science, enterprise architecture, project management, or agile delivery are an advantage.</li><li>Strong knowledge of AI, machine learning, deep learning, Generative AI, NLP, LLMs, analytics, and automation.</li><li>Hands-on experience with platforms and models such as OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, Meta Llama, Mistral, or similar.</li><li>Experience with Agentic AI, RAG, vector databases, embeddings, semantic search, AI copilots, chatbots, and workflow automation.</li><li>Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, LangGraph, or equivalent tools.</li><li>Strong programming and engineering experience, preferably in Python and modern API/microservices-based architectures.</li><li>Knowledge of cloud platforms such as Azure, AWS, or Google Cloud.</li><li>Understanding of MLOps, LLMOps, CI/CD, monitoring, evaluation, model governance, and production deployment.</li><li>Strong awareness of data privacy, cybersecurity, prompt injection risks, data leakage prevention, and responsible AI practices.</li><li>Excellent leadership, communication, stakeholder management, problem-solving, and strategic planning skills.</li><li>Experience in product-based software companies, SaaS, fintech, banking technology, capital markets technology, enterprise software, or regulated industries is preferred.</li><li>Experience integrating AI into enterprise products, internal workflows, or customer-facing platforms is highly desirable.</li><li>Capable of turning AI from a concept into secure, scalable, practical, and tangible solutions.</li></ul></section>

Full Time Gulf Talnet

Application Engineer

On-site - UAE - Dubai 22 June 2026

Information Technology

KOTRA Dubai helps UAE-based Korean clients for recruitment. KOTRA Dubai DOESN'T ACCEPT TELEPHONE INQUIRIES. KOTRA Dubai has NO RESPONSIBILITY for the contract between the company below and the applicants. Company Name: SoluM MEA FZCO Company Location: BCA1 416, Dubai CommerCity, 11, 17th Street, Umm Ramool Dubai, UAE Company Introduction: SOLUM, a spin-off from Samsung Electro-Mechanics in 2015, builds on over 50 years of technological heritage to lead the global market inelectronic components and smart solutions. Originally focused on power modules, tuners, and ESLs, SOLUM is evolving from a product-centric to a solution- and platform-driven business, delivering integrated systems that enhance operational efficiency, reduce energy consumption, and increase customer revenue. With continued investment in eco-friendly energy, healthcare, and digital innovation—including ESL, power, and signage solutions—SOLUM is committed to its vision of becoming the Global No.1 Solution Provider, shaping a smarter and more sustainable future through technology. Job Description: Application Engineer Key Responsibilities: • Provide production support, troubleshooting, and maintenance, ensuring seamless operations. • Resolve issues promptly by following Standard Operating Procedures. • Handle mission-critical tasks within the production environment. • Collaborate with L3 engineering teams to address incidents and defects effectively. • Develop and maintain SQL and script monitors to enhance monitoring capabilities. • Conduct root cause analysis for defects reported by partners and customers. • Offer application support in both SaaS (Software as a Service) and On-Premise environments. • Available to work during nights and weekends to ensure continuous support and service availability.Requirements: • Language: [Required] English / [Preferred] Korean, Arabic • Bachelor's degree, preferably Computer Science degree, and minimum 3 years prior experience in a Production Support role. • Experience with Windows and Linux Administration • Experience with Unix commands and basic scripting (Shell, Python). • TCP/IP Network troubleshooting and support, including DNS, DHCP & HTTP protocols. • Taking thread dumps, analyzing them for potential issues • Microsoft Azure or Google Cloud Platform experience • Understanding of cloud computing concepts and technologies • Strong knowledge on SQL/NoSQL (writing query, Joins, View, query explain etc) - Execute, debug and test SQL programs • Knowledge on Grafana, Kibana or any equivalent Monitoring tool (AppD, Splunk) • Strong knowledge on Tomcat stack (Apache, https, SSL ) • Good working experience with Java, Microservices. • Familiarity with the Docker/Kubernetes container for microservice implementation • Knowledge of Git, RPM, Rancher , docker hub • Previous experience in a customer facing role, including excellent written and oral communications skill Working Conditions: - Expected Date of Recruitment: ASAP(Negotiable) - Salary: Salary depending on experience and skills - Term of the Contract: 2 years (can be extended) - Working Hours: 5 Days (8 hours a day) - Annual leaves: as per UAE Labor law - Severance payment: as per UAE Labor law - Insurance: Support - Visa: Support - Flight fee to home country: Not Support - Accompanying Family: Support(insurance for the accompanying family) - Support for telecommunications expenses, business trip expenses, etc

Full Time 5 - 10 Years Naukri Gulf

Full Stack Developer

On-site - UAE - Sharjah 4 June 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph"><ul><li>MAJOR FUNCTIONS <ul><li>Responsible for the development, architecture, and implementation of both front-end and back-end development processes, Data analysis, and reporting. The position will require taking conceptions to final product, which requires good organizational skills and attention to detail. Solutions will be deployed on various platforms in an automated, secure, and efficient manner, adopting Agile and DevSecOps practices.</li><li>The position will bridge the gap between application development and data-driven decision-making, contributing to the success of innovative projects that require both technical and analytical prowess.</li><li>Investigate and resolve complex technical issues related to application development and data analytics.</li><li>Provide support for production issues and ensure timely problem resolution.</li><li>Provides assistance/support/training to end users on all applications and troubleshoot application related issues.</li></ul> ESSENTIAL FUNCTIONS<ul><li>Design, develop, and maintain robust and scalable core business applications, including application servers, associated hardware, endpoints, API’s and databases.</li><li>Development of Data and CI/CD Pipelines in coordination with Infrastructure and Security.</li><li>Develop and implement data models to support business intelligence and reporting needs.</li><li>Address security requirements and potential vulnerabilities</li><li>Create visually compelling and informative dashboards to communicate complex data trends.</li><li>Define and coordinate the execution of testing procedures and develop test cases to serve the overall quality assurance process.</li><li>Work with relational databases to store, retrieve, and manipulate data. Optimize database queries and ensure data integrity and security.</li><li>Integrate data from various sources, ensuring seamless and accurate data flow. Implement data transformation and cleansing processes to maintain data quality.</li><li>Provide documentation of all processes and training as needed.</li><li>Develop and implement maintenance procedures, monitor systems health, gather system statistics, and troubleshoot reported errors and alarms.</li><li>Perform design, implementation, and upgrades of information systems to meet business and user needs</li><li>Implement best practices for scalability, supportability, ease of maintenance, and system performance.</li><li>Liaise with external suppliers to secure IT products and services.</li><li>Conduct regular research on contemporary IT practices, particularly those related to systems administration and management. Recommends subsequent actions.</li></ul></li></ul></div></section><section>Desired Candidate Profile<ul><li>Bachelor’s degree in information technology, Computer Systems or Electronics & Telecommunication </li><li>Minimum 5 years of hands-on experience in the design, development, and end-to-end implementation of business applications.</li><li>Strong experience in DevSecOps practices and application development using technologies such as .NET, React, Python, Node.js, Power BI, Microsoft Power Platform tools, SQL, MySQL, and PostgreSQL database management systems.</li><li>Experience working with Microsoft Azure services including PaaS, IaaS, and Infrastructure as Code (IaC).</li><li>Hands-on experience with cloud deployments using Kubernetes, Azure Function Apps, Logic Apps, and Docker containers.</li><li>Working knowledge of Microsoft Fabric data platform, including pipelines, dataflows, and Eventhouse</li><li>For Mobile Development: Experience developing Hybrid Mobile Applications, preferably with Flutter</li></ul></section>

0 to 0 years Bayt

Associate - Risk Management

On-site - UAE 17 July 2026

Other

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description AECOM Advisory integrates management consulting with infrastructure expertise. We’re the largest infrastructure professional services firm to bring truly in-house management consulting services to our clients. We are currently seeking an Associate to join our Risk Management team which forms part of our Advisory business, and we are looking for highly motivated applicants who possess outstanding analytical, communication and creative skills. As an Associate, you will undertake the delivery of complex projects across the full spectrum of advisory activities under minimal direction while managing a team and leading one or more project teams, delivering consulting services across a cross section of areas. Other practice areas within our Advisory business includes Asset, Project Monitoring, P3 Technical, Program, Strategy+, Procurement and Construction Business Intelligence services, allowing the successful candidate an opportunity to collaborate across our Advisory team and advise our clients on a wide range of projects across built asset and infrastructure sectors. Desirable Knowledge and Expertise Candidates will be expected to possess deep expertise in one or more of the following: <ul><li>Good working knowledge of Middle East design and construction projects, conditions of contract and contractual issues.</li><li>Demonstrable skills in the implementation and monitoring of project risk management on building and infrastructure projects.</li><li>Familiarity with risks associated with new and refurbishment projects.</li><li>Excellent knowledge of project risks associated throughout the project life cycle, together with experience of preparing and implementing suitable risk management strategies.</li><li>Must be capable of chairing risk meetings and following up with project team members at all levels.</li><li>Familiarity with risk management software used for recording and reporting risk.</li><li>Demonstratable skill in quantitative cost risk assessment (Monte Carlo).</li><li>Specific risk management qualification would be preferred.</li></ul>Technical Skills Range Candidates will be expected to possess skills in one or more of the following: <ul><li>Microsoft Office Suite.</li><li>Visio, Excel, Tableau, Power BI data manipulation and analytics.</li><li>Web based data analytics, visualization and presentation software.</li><li>Project management, project work planning, scheduling and resource deployment.</li><li>Business development, market planning and client relationships.</li><li>Space programming, user research, design strategy and conceptual design.</li><li>Revit, GIS, Python or other space planning / design CAD systems.</li></ul>Culture and Personality Candidates will be expected to possess as many of these attributes as possible: <ul><li>Highly collaborative, highly communicative, creative team leader.</li><li>Excellent presentation and communication skills.</li><li>Comfortable in a fast-paced, open, creative environment.</li><li>Ability to lead workshops, focus groups and presentations.</li><li>Critical thinking and persuasive writing skills.</li><li>Familiarity with research methodologies and processes.</li><li>High degree of flexibility and the ability to lead multiple projects in multiple teams, across multiple markets.</li></ul>Outline of Duties Working as a collaborative team member, this individual will be responsible for: <ul><li>Initiate, manage and coordinate risk management activities across all stages of projects.</li><li>Chair / facilitate risk management meetings.</li><li>Coordinate with clients, engineers, contractors and consultancy team members on risk management activities at all levels.</li><li>Monitor risk registers and trends across multiple projects within a program of works.</li><li>Create and maintain risk registers for projects (in formats approved by the clients).</li><li>Advise clients on risk management strategies and appropriate mitigation plans.</li><li>Work with the team to provide cost information to enable quantitative assessment of risks.</li><li>Recommend adjustments to risk registers (as necessary).</li><li>Advise clients on Risk Management best practices and improvements.</li><li>Lead and deliver all aspects of services from inception of a project through to completion.</li><li>Achieve the highest standards of professional competence and to demonstrate this ability in all dealings with clients and professional contacts, reinforcing the profile of the company.</li><li>Drive performance standards and technical excellence through expert communication and effective use of the performance management process and AECOM technical practice networks.</li><li>Maintain and develop good relationships with clients, take every opportunity to uphold and increase the profile of the firm as a provider of professional, premium quality services to the construction industry.</li><li>Actively support the internal team and manage more junior staff on technically complex projects.</li><li>As an Associate you will also be actively involved developing marketing opportunities and where appropriate bring to the attention of Directors and the Business Development Department, in order that they may assist in following up potential leads enabling the development of new business.</li></ul>Managing and delivering specific activities within projects, including: <ul><li>Client interaction</li><li>Communication</li><li>Planning</li><li>Research</li><li>Data analytics</li><li>Visualization</li><li>Workshop facilitation</li><li>Presentation preparation and report writing</li><li>Coordinating one or more project teams</li></ul> Qualifications <ul><li>Minimum 12 years relevant post education experience.</li><li>Bachelor’s and preferably master’s degree in relevant construction \ infrastructure related discipline.</li></ul> Additional Information At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment. About AECOM  AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.  AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.  What makes AECOM a great place to work  You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.  As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.  </div>

Full Time 5 - 10 Years Naukri Gulf

AI & Digital Experience Analyst

On-site - UAE - Abu Dhabi Yesterday

Information Technology

<ul><li>The AI & Digital Experience Analyst drives AI innovation and adoption within Technology Operations. The role focuses on turning AI concepts into practical solutions, leading Microsoft Copilot adoption, and coaching employees to build AI agents that automate workflows and use enterprise data. </li><li>The role acts as the bridge between AI technology and business users, helping Technology Services deliver measurable operational value and improve the overall digital experience. </li></ul>Core Accountabilities:<ul><li>AI Prototyping & Execution: Act as the primary builder for internal AI agents and automation tools, transforming architectural designs and logic workflows provided by TechOps leadership into testable, functional models.</li><li>Copilot Studio Expertise: Serve as the organisation’s subject-matter expert for Microsoft Copilot Studio, helping end users design, build, and publish their own agents – from simple question-and-answer bots to advanced agents with custom topics, actions, connectors, knowledge sources, and orchestration.</li><li>Enterprise AI Adoption: Lead user campaigns and training programs across the organization to drive the adoption of digital workplace tools, specifically spearheading the Microsoft Copilot training initiative.</li><li>Strategic Impact Reporting: Design and maintain executive dashboards and “Impact Stories” that translate complex TechOps achievements (e.g., automated ticket deflection, infrastructure cost savings, system uptime) into clear, business-facing metrics. </li></ul>Operational responsibilities:<ul><li>Copilot Studio Enablement: Run hands-on workshops and one-to-one coaching sessions that guide end users through building agents in Microsoft Copilot Studio, including advanced capabilities such as custom topics, generative actions, knowledge sources, connectors, and agent orchestration.</li><li>Model Training & Testing: Ingest, format, and structure internal data (policies, IT documentation) for AI Knowledge Bases. Conduct rigorous prompt testing, log hallucination rates, and refine agent outputs prior to production deployment.</li><li>Digital Experience Advocacy: Conduct live training sessions and workshops with business units to demonstrate the capabilities of deployed AI tools and gather user feedback for continuous improvement.</li><li>Proof of Concept (PoC) Development: Rapidly build internal PoCs using existing platforms to validate business requests before the organization full approve full implementation.</li><li>Governance & Best Practice: Define and share reusable templates, guardrails, and best-practice guidance so that user-built Copilot Studio agents remain secure, compliant, and aligned with ADGM standards.</li><li>Performance Tracking: Monitor the daily usage and success rates of deployed AI Service Desk agents and provide weekly analytics on automated ticket resolution.</li></ul>Desired Candidate Profile<ul><li>6–10 years experience overall, including 1–3 years in AI.</li><li>Bachelor’s degree in AI, Computer Science, IT, or related technical field.</li><li>Strong understanding of LLMs, prompt engineering, and AI tools.</li><li>Hands-on experience with Copilot and Copilot Studio, including building/configuring agents, topics, actions, and connectors.</li><li>Basic Python/PowerShell scripting for data and API integrations.</li><li>Strong communication and presentation skills, able to translate AI concepts for non-technical users.</li><li>Strong problem-solving, rapid prototyping, and ability to stay current with emerging AI tools and models.</li><li>Agile, cloud-first environment with continuous learning and rapid adoption of new AI technologies.</li></ul> Note: This is a full-time role with ADGM, engaged through an outsourcing partner and based within the Technology Services Division.

Bayt

Senior Data Scientist/ Senior AI Engineer

On-site - UAE 13 August 2026

Media & Journalism

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job PurposeJoin the Emirates Group Analytics Centre of Excellence (ACoE) and help shape the future of data science, artificial intelligence and advanced analytics across one of the world's leading aviation and travel organisations. As a Senior Data Scientist/ Senior AI Engineer, you will lead the design and delivery of innovative machine learning, optimisation and AI solutions for business that influence strategic decisions, improve operational performance and create exceptional customer experiences. You will work on complex challenges at scale while mentoring others and driving the adoption of AI and advanced analytics across the organisation. In this role, you will: <ul><li>Lead end-to-end AI initiatives from problem definition through to deployment and value realisation.</li><li>Partner with business leaders to transform strategic challenges into scalable AI and analytics solutions.</li><li>Design and implement advanced machine learning, optimisation and simulation models.</li><li>Develop AI-powered capabilities leveraging GenAI, LLMs and Agentic AI technologies.</li><li>Drive experimentation, model validation and performance measurement to ensure business impact and automate business decisions. </li><li>Lead the development of reusable data science frameworks, libraries and production-ready solutions.</li><li>Collaborate closely with engineering teams to operationalise machine learning and AI products.</li><li>Mentor and coach junior data scientists while helping shape best practices across the wider analytics community.</li><li>Champion innovation and identify emerging technologies that can create competitive advantage.</li></ul> QualificationTo be considered for this role, you must meet the below requirements: Qualifications <ul><li>MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Operations Research, Computer Science or a related quantitative discipline.</li></ul>Experience <ul><li>4-7+ years of experience delivering advanced analytics, machine learning, optimisation or AI solutions in large, complex organisations.</li></ul>Knowledge & Skills <ul><li>Expert knowledge of machine learning, statistical modelling and advanced analytics.</li><li>Strong experience with GenAI, LLMs, Agentic AI and emerging AI technologies.</li><li>Hands-on AI Engineering experience including model deployment, Agentic orchestration frameworks, evaluation frameworks, observability and monitoring, RAG architectures and scalable AI application development.</li><li>Experience with optimisation frameworks such as Gurobi, FICO or CPLEX.</li><li>Strong programming skills in Python and SQL.</li><li>Experience with Git, Docker, CI/CD pipelines and MLOps practices.</li><li>Proven experience deploying production-grade analytics and AI solutions.</li><li>Strong stakeholder management and communication skills with the ability to influence senior leaders.</li><li>Experience mentoring and developing technical talent.</li><li>A commercial mindset focused on delivering measurable business value through AI and analytics. </li></ul> Preferred Experience <ul><li>Experience building and deploying AI applications using LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel or equivalent).</li><li>Experience with Retrieval Augmented Generation (RAG), vector databases, AI agents and multi-agent systems.</li><li>Experience evaluating, monitoring and governing production AI systems.</li><li>Understanding of cloud-native AI platforms and modern AI engineering best practices.</li></ul>Salary & benefitsJoin us in Dubai and enjoy an attractive tax-free salary alongside exceptional travel, healthcare and lifestyle benefits. You'll work on some of the most exciting AI, data science and optimisation challenges in the industry while helping shape the future of analytics at global scale. </div>

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