Python Developer Jobs in UAE

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Janus DigitalJanus Digital is the agentic AI platform that runs the world's real assets.<br> Based in the UAE with global operations, our enterprise platform acts as the central operating system for intelligent buildings, and we earn only on the additional value we create.<br>Buildings account for nearly 40% of global energy consumption and carbon emissions, yet most are still run by fragmented systems that react to problems instead of preventing them.<br> We exist to change that, proving that AI for Good is also good business.<br>Unlike language models that can guess, our platform is grounded in physics: thermodynamics, pressure dynamics, energy conservation, and fluid mechanics.<br> It builds a live, millimetre-accurate picture of every structure, monitors how energy, water, and air move through every system in real time, anticipates maintenance weeks ahead, and makes thousands of autonomous micro-adjustments around the clock.<br> It calculates; it does not guess.<br>The technology is not new, it is battle-hardened: development began in 2009 and has matured through four generations of real-world deployment, built on 15+ years of foundational R&amp;D, 76 granted patents, and over $100M invested.<br> The platform is proven across 10,000+ building datasets in 253 cities, trusted by Fortune Global 500 companies, sovereign wealth funds, and premium hospitality brands, spanning hospitals, airports, malls, theme parks, power grids, and manufacturing.<br> Typical outcomes include around 29% energy savings, 99% equipment-risk detection before failure, and full deployment in 14 days with no phased rollout.<br> About this role This role sits within the AI Office, the team responsible for designing, building, and running Janus Digital’s AI platform and the engineering capability behind it.<br> Reporting to the Head of AI Office, the engineer joins a small, senior group working at the core of how the company applies artificial intelligence across its global operations.<br> We are looking for a full-stack AI engineer who combines hands-on software delivery with genuine platform depth—someone who has built and operated systems to a banking-grade standard and is fluent across modern cloud infrastructure, AWS in particular.<br> That background is central to the work: the AI Office ships production systems the wider organisation depends on, where reliability, security, and clean architecture are not optional.<br> The same instincts that keep banking and financial platforms dependable are exactly what this role demands.<br> As part of the AI Office, the engineer will own meaningful parts of the platform end to end—backend services, user-facing interfaces, identity and access, and the AI agent and integration layers—and will work alongside existing engineers and the CTO function on cloud deployment and reliability.<br> The objective is a platform engineered to a product standard: secure, scalable, observable, and built to evolve as the company and the field do.<br> This engineer is central to making that real.<br> What you'll do Build and own the product across the stack: backend services and APIs in Python and TypeScript; frontend interfaces in React (or equivalent) for web dashboards, administrative surfaces, and AI agent interaction layers.<br> Build cloud-native software on AWS (primary), and across the wider cloud ecosystem where relevant, that assumes it will run in a managed, containerized cluster environment.<br> Design and implement enterprise-grade authentication and authorization: SSO (SAML/OIDC), SCIM provisioning, RBAC, and fine-grained IAM.<br> Design the platform for multi-tenancy from the ground up: configuration isolation, provisioning flows, usage metering, and the operational tooling needed to run it reliably at scale.<br> Build and deploy production AI agents using MCP and streaming APIs; design multi-model orchestration across Claude, Gemini, and other models as the landscape evolves.<br> Contribute to and evolve the memory and knowledge architecture at the core of the platform—a structured, multi-graph, file-based system underpinning institutional intelligence across the company.<br> This is among the hardest and most consequential engineering problems on the platform.<br> Architect the platform as a composition of isolated, independently deployable microservices—each functional domain (finance tools, marketing stack, knowledge layer, agent runtime) a discrete service with well-defined APIs between them.<br> Competitive compensation with performance-based incentives tied to delivery quality and client outcomes.<br> A specialized domain-expert role at the absolute frontier of Agentic AI and autonomous building intelligence.<br> Hands-on engagement with prestigious, diverse real estate portfolios (commercial offices, hotels, malls, and mixed-use developments).<br> Direct collaboration with our global Head of AI team.<br> Clear career progression paths into senior consulting or regional delivery leadership roles.<br> Sponsorship and support for professional development, including certifications in building services and energy management.<br> What we're looking for 5+ years in a full-stack software engineering role, with shipped, production systems at scale—backend and frontend both visible in your GitHub history.<br> Direct experience building or operating banking, fintech, or comparable high-reliability, regulated software; you understand first-hand the reliability, security, and compliance bar these environments demand.<br> Demonstrable multi-tenant and/or distributed-systems experience: tenant isolation, provisioning flows, and the operational tooling that keeps distributed systems running in production.<br> API design for external consumers: versioning, authentication, rate limiting, and documentation standards.<br> Security fundamentals: zero-trust principles, data isolation, audit logging, DLP—security as a design constraint, not a post-launch checkbox.<br> Fluent with agentic development tooling—Claude Code, Codex, and CLI-based AI workflows—used with discipline and judgment, not as a substitute for engineering thinking.<br> Active GitHub profile mandatory—applications without a demonstrable commit history will not be considered.<br> Nice to have Broad, hands-on cloud experience: AWS (primary), with working knowledge across the wider cloud ecosystem (GCP/Azure).<br> You architect cloud-native systems, not just deploy to a single VM.<br> Containerization and cloud-native deployment in production: Docker and Kubernetes; you write software that assumes it will run in a managed cluster environment.<br> Strong Python and TypeScript; React or an equivalent modern frontend framework; genuine comfort moving between layers of the stack.<br> Enterprise identity and access management implemented in production—SSO (SAML/OIDC), SCIM, RBAC, Okta or Azure AD—not just read about.<br> AI/LLM integration: MCP server development, function calling, streaming APIs, and multi-model orchestration.<br> Experience with core banking, payments, or other regulated financial systems (transaction integrity, settlement, KYC/AML data flows, and similar).<br> Vertex AI / Google AI Studio / Claude API / Gemini Enterprise.<br> Slack Apps (Bolt Framework, Block Kit) and Google Workspace integrations.<br> Agent memory patterns, structured knowledge graphs, or evolving AI context-management architectures.<br> Regional compliance experience (GDPR, Singapore PDPA, UAE data protection frameworks).<br> Familiarity with Terraform or equivalent IaC tooling (ownership sits with the infrastructure team, but fluency helps).<br> Go or Rust for performance-critical components.<br> Experience taking an internal platform or product through significant scale or its first external users.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Janus DigitalJanus Digital is the agentic AI platform that runs the world's real assets.<br> Based in the UAE with global operations, our enterprise platform acts as the central operating system for intelligent buildings, and we earn only on the additional value we create.<br>Buildings account for nearly 40% of global energy consumption and carbon emissions, yet most are still run by fragmented systems that react to problems instead of preventing them.<br> We exist to change that, proving that AI for Good is also good business.<br>Unlike language models that can guess, our platform is grounded in physics: thermodynamics, pressure dynamics, energy conservation, and fluid mechanics.<br> It builds a live, millimetre-accurate picture of every structure, monitors how energy, water, and air move through every system in real time, anticipates maintenance weeks ahead, and makes thousands of autonomous micro-adjustments around the clock.<br> It calculates; it does not guess.<br>The technology is not new, it is battle-hardened: development began in 2009 and has matured through four generations of real-world deployment, built on 15+ years of foundational R&amp;D, 76 granted patents, and over $100M invested.<br> The platform is proven across 10,000+ building datasets in 253 cities, trusted by Fortune Global 500 companies, sovereign wealth funds, and premium hospitality brands, spanning hospitals, airports, malls, theme parks, power grids, and manufacturing.<br> Typical outcomes include around 29% energy savings, 99% equipment-risk detection before failure, and full deployment in 14 days with no phased rollout.<br> About this role This role sits within the AI Office, the team responsible for designing, building, and running Janus Digital’s AI platform and the engineering capability behind it.<br> Reporting to the Head of AI Office, the engineer joins a small, senior group working at the core of how the company applies artificial intelligence across its global operations.<br> We are looking for a full-stack AI engineer who combines hands-on software delivery with genuine platform depth—someone who has built and operated systems to a banking-grade standard and is fluent across modern cloud infrastructure, AWS in particular.<br> That background is central to the work: the AI Office ships production systems the wider organisation depends on, where reliability, security, and clean architecture are not optional.<br> The same instincts that keep banking and financial platforms dependable are exactly what this role demands.<br> As part of the AI Office, the engineer will own meaningful parts of the platform end to end—backend services, user-facing interfaces, identity and access, and the AI agent and integration layers—and will work alongside existing engineers and the CTO function on cloud deployment and reliability.<br> The objective is a platform engineered to a product standard: secure, scalable, observable, and built to evolve as the company and the field do.<br> This engineer is central to making that real.<br> What you'll do Build and own the product across the stack: backend services and APIs in Python and TypeScript; frontend interfaces in React (or equivalent) for web dashboards, administrative surfaces, and AI agent interaction layers.<br> Build cloud-native software on AWS (primary), and across the wider cloud ecosystem where relevant, that assumes it will run in a managed, containerized cluster environment.<br> Design and implement enterprise-grade authentication and authorization: SSO (SAML/OIDC), SCIM provisioning, RBAC, and fine-grained IAM.<br> Design the platform for multi-tenancy from the ground up: configuration isolation, provisioning flows, usage metering, and the operational tooling needed to run it reliably at scale.<br> Build and deploy production AI agents using MCP and streaming APIs; design multi-model orchestration across Claude, Gemini, and other models as the landscape evolves.<br> Contribute to and evolve the memory and knowledge architecture at the core of the platform—a structured, multi-graph, file-based system underpinning institutional intelligence across the company.<br> This is among the hardest and most consequential engineering problems on the platform.<br> Architect the platform as a composition of isolated, independently deployable microservices—each functional domain (finance tools, marketing stack, knowledge layer, agent runtime) a discrete service with well-defined APIs between them.<br> Competitive compensation with performance-based incentives tied to delivery quality and client outcomes.<br> A specialized domain-expert role at the absolute frontier of Agentic AI and autonomous building intelligence.<br> Hands-on engagement with prestigious, diverse real estate portfolios (commercial offices, hotels, malls, and mixed-use developments).<br> Direct collaboration with our global Head of AI team.<br> Clear career progression paths into senior consulting or regional delivery leadership roles.<br> Sponsorship and support for professional development, including certifications in building services and energy management.<br> What we're looking for 5+ years in a full-stack software engineering role, with shipped, production systems at scale—backend and frontend both visible in your GitHub history.<br> Direct experience building or operating banking, fintech, or comparable high-reliability, regulated software; you understand first-hand the reliability, security, and compliance bar these environments demand.<br> Broad, hands-on cloud experience: AWS (primary), with working knowledge across the wider cloud ecosystem (GCP/Azure).<br> You architect cloud-native systems, not just deploy to a single VM.<br> Containerization and cloud-native deployment in production: Docker and Kubernetes; you write software that assumes it will run in a managed cluster environment.<br> Strong Python and TypeScript; React or an equivalent modern frontend framework; genuine comfort moving between layers of the stack.<br> Demonstrable multi-tenant and/or distributed-systems experience: tenant isolation, provisioning flows, and the operational tooling that keeps distributed systems running in production.<br> Enterprise identity and access management implemented in production—SSO (SAML/OIDC), SCIM, RBAC, Okta or Azure AD—not just read about.<br> API design for external consumers: versioning, authentication, rate limiting, and documentation standards.<br> Security fundamentals: zero-trust principles, data isolation, audit logging, DLP—security as a design constraint, not a post-launch checkbox.<br> AI/LLM integration: MCP server development, function calling, streaming APIs, and multi-model orchestration.<br> Fluent with agentic development tooling—Claude Code, Codex, and CLI-based AI workflows—used with discipline and judgment, not as a substitute for engineering thinking.<br> Active GitHub profile mandatory—applications without a demonstrable commit history will not be considered.<br> Nice to have Experience with core banking, payments, or other regulated financial systems (transaction integrity, settlement, KYC/AML data flows, and similar).<br> Vertex AI / Google AI Studio / Claude API / Gemini Enterprise.<br> Slack Apps (Bolt Framework, Block Kit) and Google Workspace integrations.<br> Agent memory patterns, structured knowledge graphs, or evolving AI context-management architectures.<br> Regional compliance experience (GDPR, Singapore PDPA, UAE data protection frameworks).<br> Familiarity with Terraform or equivalent IaC tooling (ownership sits with the infrastructure team, but fluency helps).<br> Go or Rust for performance-critical components.<br> Experience taking an internal platform or product through significant scale or its first external users.<br></span> </div>

Employment Type: Full-time & Permanent Location: Dubai, UAE (Visa sponsorship and relocation assistance provided) Annual Base Salary: range of $80,000 - $120,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme. Annual Leave: 30 Calendar Days Public Holidays: As declared by UAE Government annually (8 to 14 days) Working Days: Monday – Friday Probation Period: 3 to 6 Months (as per UAE Labour Law) Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental) Residency Visa Sponsorship: Provided by the Company Relocation Support: Available for candidates relocating to Dubai End of Service Gratuity: As per UAE Labour Law<br>About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.<br>Cobblestone Values Excellence in Hiring & Teamwork Lifelong Learning Through Continuous Reflection Independent Thinking Through a Meritocracy of Ideas Winning<br>Job Description We are looking for an Exceptional Software Engineer to join our automated trading team, focused on building and optimizing high-performance automated trading systems and supporting infrastructure. In this role, you will collaborate closely with traders and infrastructure specialists to develop robust, scalable, and innovative solutions that directly impact our firm's trading operations.<br>What we offer in this role Competitive remuneration with rapid progression for strong performers. Leadership opportunities on impactful technical initiatives. Participation in the employee share scheme. Internation relocation support. Exposure to the commercial side of the business. A highly collaborative and open working culture.<br>Requirements BS/BE in Computer Science, Software Engineering, or a related discipline2 to 5 years of hands-on software development experience in C#, C++ or Python Proven experience building or contributing to trading systems with an understanding of orderbook structure, own order management and trade execution Strong understanding of database design and system architecture for low latency systems Ability to lead discussions, make sound architectural decisions, and deliver results Strong communication skills and a collaborative mindset Resilient, self-driven and aligned with Cobblestone's values<br>Responsibilities Design, develop, and optimize high-performance automated trading and infrastructure systems. Collaborate closely with traders and infrastructure teams to deliver solutions supporting trading strategies. Develop robust, scalable software components to manage real-time market data pipelines, automated order execution, and risk management processes. Ensure system reliability through automated testing, code reviews, and continuous integration and deployment practices. Monitor and improve system performance, latency, and throughput in a fast-paced trading environment. Investigate and resolve complex technical issues in production systems swiftly and accurately. Maintain comprehensive documentation of software systems and processes to facilitate knowledge sharing and system support. Participate in regular code reviews and adhere to established coding standards and best practices. Contribute to continuous innovation through researching new technologies and tools to enhance the trading platform. Mentor and support junior engineers.<br><br>Learn more about Cobblestone Energy careers:https://cobblestoneenergy.com/careers/Why work with us:https://cobblestoneenergy.com/why-work-with-us/Recruitment process:https://cobblestoneenergy.com/careers/vacancies/#process

Employment Type: Full-time & Permanent Location: Dubai, UAE (Visa sponsorship and relocation assistance provided) Annual Base Salary: range of $80,000 - $120,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme. Annual Leave: 30 Calendar Days Public Holidays: As declared by UAE Government annually (8 to 14 days) Working Days: Monday – Friday Probation Period: 3 to 6 Months (as per UAE Labour Law) Health Insurance: Comprehensive Private Health Insurance (IPD, OPD & Dental) Residency Visa Sponsorship: Provided by the Company Relocation Support: Available for candidates relocating to Dubai End of Service Gratuity: As per UAE Labour Law<br>About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.<br>Cobblestone Values Excellence in Hiring & Teamwork Lifelong Learning Through Continuous Reflection Independent Thinking Through a Meritocracy of Ideas Winning<br>Job Description We are looking for an Exceptional Software Engineer to join our automated trading team, focused on building and optimizing high-performance automated trading systems and supporting infrastructure. In this role, you will collaborate closely with traders and infrastructure specialists to develop robust, scalable, and innovative solutions that directly impact our firm's trading operations.<br>What we offer in this role Competitive remuneration with rapid progression for strong performers. Leadership opportunities on impactful technical initiatives. Participation in the employee share scheme. Internation relocation support. Exposure to the commercial side of the business. A highly collaborative and open working culture.<br>Requirements BS/BE in Computer Science, Software Engineering, or a related discipline2 to 5 years of hands-on software development experience in C#, C++ or Python Proven experience building or contributing to trading systems with an understanding of orderbook structure, own order management and trade execution Strong understanding of database design and system architecture for low latency systems Ability to lead discussions, make sound architectural decisions, and deliver results Strong communication skills and a collaborative mindset Resilient, self-driven and aligned with Cobblestone's values<br>Responsibilities Design, develop, and optimize high-performance automated trading and infrastructure systems. Collaborate closely with traders and infrastructure teams to deliver solutions supporting trading strategies. Develop robust, scalable software components to manage real-time market data pipelines, automated order execution, and risk management processes. Ensure system reliability through automated testing, code reviews, and continuous integration and deployment practices. Monitor and improve system performance, latency, and throughput in a fast-paced trading environment. Investigate and resolve complex technical issues in production systems swiftly and accurately. Maintain comprehensive documentation of software systems and processes to facilitate knowledge sharing and system support. Participate in regular code reviews and adhere to established coding standards and best practices. Contribute to continuous innovation through researching new technologies and tools to enhance the trading platform. Mentor and support junior engineers.<br><br>Learn more about Cobblestone Energy careers:https://cobblestoneenergy.com/careers/Why work with us:https://cobblestoneenergy.com/why-work-with-us/Recruitment process:https://cobblestoneenergy.com/careers/vacancies/#process

About UsAI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers. Working closely with our industry partners, our cross-functional teams of AI experts build products grounded in the cutting edge research of our colleagues from the Technology Innovation Institute (TII). We are seeking a highly experienced and strategic Security Architect to define and lead the security architecture of our AI and data platform. In this role, you will be responsible for designing secure-by-design systems across AI workloads, data pipelines, and cloud-native infrastructure, ensuring the confidentiality, integrity, and availability of our platform at scale. You will collaborate closely with engineering, platform, and AI teams to embed security into every layer of system design, development, and deployment, while establishing standards and best practices aligned with enterprise and high-security environments.<br><br>Key Responsibilities Security Architecture and Design<br><br> Define and evolve the end-to-end security architecture for AI systems, data platforms, and cloud-native infrastructure. Establish and enforce Zero Trust principles, including identity-first security, m TLS, and fine-grained access control (RBAC/ABAC). Design secure patterns for distributed systems, event-driven architectures, and multi-tenant environments. Platform and Infrastructure Security Define security standards for Kubernetes-based platforms, including workload isolation, network policies, and runtime protection. Establish container and software supply chain security practices (e.g., image scanning, SBOM, signing, and provenance). Design secure deployment architectures for both cloud and restricted/air-gapped environments. AI and Data Security Define and implement security controls for LLM-based applications, RAG pipelines, and data platforms. Establish safeguards against AI-specific threats such as data poisoning, model extraction, and data leakage. Dev Sec Ops and Governance Embed security into Git Ops and CI/CD workflows, including policy-as-code and automated enforcement. Define and maintain secure SDLC practices aligned with ISO 27001 and internal governance frameworks. Lead threat modeling, architecture reviews, and security validations. Observability and Threat Detection Define requirements for security observability, including audit logging and anomaly detection. Ensure integration of security signals into observability platforms (e.g., Open Telemetry). Leadership and Collaboration Act as a security advisor to engineering and AI teams. Review system designs and enforce security standards. Mentor engineers and promote a strong culture of security awareness. Qualifications<br><br>Required Skills and Experience<br><br> Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related field. 7+ years of experience in security engineering, architecture, or related roles. Experience designing security for distributed systems and cloud-native platforms. Strong understanding of Zero Trust, IAM, cryptography, and secure communication. Experience with Dev Sec Ops practices and secure CI/CD pipelines. Preferred Skills Experience securing AI/ML systems or data platforms. Familiarity with streaming technologies (e.g., Kafka, NATS). Experience in regulated or high-security environments. Certifications such as CISSP or CSSLP. Proficiency in Python or Bash for automation. Why Join Us? Work on cutting-edge AI technologies with a focus on security and ethics. Shape the security architecture of a next-generation AI platform. Collaborate with a diverse and talented team. Competitive salary, equity options, and benefits. Opportunities for growth and leadership.

Location: UAE (Home office: Austin, TX)<br><br>Travel: Mission-dependent, up to ~75% (OCONUS rotations)<br><br>Clearance Requirement: Active Secret required<br><br>About NODA<br><br>NODA is a veteran-owned Series A defense technology company building the orchestration layer for autonomous unmanned systems. Our platform — URZA — coordinates fleets of heterogeneous vehicles across air, sea, and land for defense and intelligence customers. We expect every hire to be mission-driven with strong agency.<br><br>The Role<br><br>We are seeking a senior full-stack engineer to lead URZA deployment and customer-facing technical delivery across active customer programs. This req can land at either Senior Solution Engineer (L5) or Solution Architect (L6) depending on demonstrated depth — see leveling below.<br><br>You will own URZA deployments end-to-end at customer sites — primarily in DoW and military operating environments. You will lead engagements as the senior engineering presence on the ground, partner directly with Mission Leads and Field Operations, and represent NODA in customer technical reviews. Expect significant time on-site and significant time writing — runbooks, deployment guides, Con Ops documents, after-action reports.<br><br>What you'll do<br><br>Lead URZA deployments end-to-end at customer sites in DoW and military operating environments. Configure URZA for each customer's mission and Con Ops. Integrate URZA with third-party C2 systems, sensors, software APIs, and external data sources (weather, reconnaissance, intelligence feeds). Run customer technical reviews and operator training; partner with Mission Leads on engagement coordination. Build reusable engagement scaffolding (runbooks, Con Ops templates, integration playbooks); mentor mid-level Solution Engineers. <br><br>Required Qualifications<br><br>5+ years of full-stack engineering experience, with significant customer-facing or forward-deployed work. Strong proficiency in Python, C++, or Rust; advanced Linux fluency. Networking depth (TCP/IP, UDP, multicast, routing) and field debugging across multiple system layers. Demonstrated deployment experience in DoW, military, or comparable operational environments. U. S. citizenship; able to obtain a security clearance. <br><br>Preferred Qualifications<br><br>Hands-on with autonomous systems or unmanned vehicles (UAS, UGV, USV, UUV). Tactical C2 systems (TAK, Cursor-on-Target, Link 16) or pub-sub middleware (Zenoh, DDS). Experience integrating sensors, third-party APIs, or external data feeds (weather, reconnaissance, intelligence). Prior defense, autonomy, or robotics company experience; classified / ITAR / CMMC environment exposure. Active security clearance. <br><br>Leveling — Senior SE (L5) vs. Solution Architect (L6)<br><br>Senior Solution Engineer (L5): Owns URZA deployment for a single engagement. Leads on-site execution; partners with a more senior engineer on architecture decisions. Operates independently within an engagement; escalates cross-engagement trade-offs. Mentors mid-level SEs.<br><br>Solution Architect (L6): Owns URZA deployment architecture across multiple concurrent engagements. Defines integration patterns and Con Ops templates that other SEs reuse. Holds customer technical authority where the customer expects an architect. Influences URZA roadmap and the integration layer directly through field learning.<br><br>Skills & Attributes<br><br>Systems thinker across compute, network, vehicle behavior, and Con Ops. Field-grounded; comfortable diagnosing in degraded conditions on a live exercise clock. Documentation-disciplined. Customer-credible; holds technical authority without overstating or underselling. Self-directed; thrives in ambiguity. <br><br>What we offer<br><br>Hybrid work environment Competitive base + equity Flexible time off and generous PTOFederal holidays401(k) Comprehensive health, dental, and vision benefits Free One Medical membership<br><br>Growth Path at NODA<br><br>Senior Solution Engineer → Solution Architect → Principal Solution Architect. Lateral: Engineering Manager (Solutions Engineering), Product Manager, Mission Lead.<br><br>We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.

Quantum Gate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.<br><br>As a Platform Engineer, you will be responsible for designing, implementing, and maintaining scalable infrastructure, CI/CD pipelines, and cloud environments. You will work closely with development, security, and operations teams to streamline software delivery, improve system reliability, and ensure the highest standards of security and performance.<br><br>Key Responsibilities<br><br>Design, implement, and maintain scalable, secure, and highly available cloud infrastructure. Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform or AWS Cloud Formation. Build, automate, and optimize CI/CD pipelines to support rapid and reliable software delivery. Deploy, manage, and monitor containerized applications using Docker and Kubernetes. Automate infrastructure provisioning, configuration, and deployment processes. Manage source code repositories and branching strategies using Git. Implement configuration management solutions using tools such as Ansible, Chef, or Puppet. Monitor system health, performance, and availability using tools such as Prometheus, Grafana, ELK Stack, or similar monitoring platforms. Collaborate with development teams to troubleshoot deployment issues and optimize application performance. Implement infrastructure and application security best practices, including access control, vulnerability management, and compliance standards. Ensure system reliability, disaster recovery readiness, and high availability across production environments. Document infrastructure, deployment procedures, and operational best practices.<br><br>Required Qualifications<br><br>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience). Proven experience as a Dev Ops Engineer, Cloud Engineer, or in a similar role. Strong proficiency in scripting languages such as Python, Shell (Bash), or Ruby. Hands-on experience with Docker and Kubernetes. Experience implementing Infrastructure as Code (IaC) using Terraform or Cloud Formation. Strong knowledge of Git and modern version control practices. Experience designing and maintaining CI/CD pipelines. Hands-on experience with configuration management tools such as Ansible, Chef, or Puppet. Strong experience with one or more cloud platforms, including AWS, Microsoft Azure, or Google Cloud Platform (GCP). Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or equivalent solutions. Strong understanding of infrastructure and application security best practices. Experience implementing and maintaining security controls across cloud infrastructure and application deployments. Excellent troubleshooting, analytical, and problem-solving skills. Strong communication and collaboration skills.<br><br>Preferred Qualifications<br><br>Experience working with microservices architecture. Knowledge of Dev Sec Ops principles and security automation. Experience with Linux system administration. Familiarity with cloud networking, IAM, and security services. Relevant cloud or Dev Ops certifications (AWS, Azure, GCP, Kubernetes, Terraform, etc.) are an advantage.<br><br>What We Offer<br><br>Opportunity to shape the future of cybersecurity in a high-impact venture. Collaborative, mission-driven culture with deep technical talent. Competitive compensation, benefits and relocation assistance (if applicable) Exposure to cutting-edge technologies and strategic partnerships.<br><br>Join us to drive innovation and shape the future of technology!<br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Quantum Gate? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>Join us as we pioneer innovative solutions to secure the future of digital technology and protect tomorrow’s digital society.

Quantum Gate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.<br><br>As a Platform Engineer, you will be responsible for designing, implementing, and maintaining scalable infrastructure, CI/CD pipelines, and cloud environments. You will work closely with development, security, and operations teams to streamline software delivery, improve system reliability, and ensure the highest standards of security and performance.<br><br>Key Responsibilities<br><br>Design, implement, and maintain scalable, secure, and highly available cloud infrastructure. Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform or AWS Cloud Formation. Build, automate, and optimize CI/CD pipelines to support rapid and reliable software delivery. Deploy, manage, and monitor containerized applications using Docker and Kubernetes. Automate infrastructure provisioning, configuration, and deployment processes. Manage source code repositories and branching strategies using Git. Implement configuration management solutions using tools such as Ansible, Chef, or Puppet. Monitor system health, performance, and availability using tools such as Prometheus, Grafana, ELK Stack, or similar monitoring platforms. Collaborate with development teams to troubleshoot deployment issues and optimize application performance. Implement infrastructure and application security best practices, including access control, vulnerability management, and compliance standards. Ensure system reliability, disaster recovery readiness, and high availability across production environments. Document infrastructure, deployment procedures, and operational best practices.<br><br>Required Qualifications<br><br>Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience). Proven experience as a Dev Ops Engineer, Cloud Engineer, or in a similar role. Strong proficiency in scripting languages such as Python, Shell (Bash), or Ruby. Hands-on experience with Docker and Kubernetes. Experience implementing Infrastructure as Code (IaC) using Terraform or Cloud Formation. Strong knowledge of Git and modern version control practices. Experience designing and maintaining CI/CD pipelines. Hands-on experience with configuration management tools such as Ansible, Chef, or Puppet. Strong experience with one or more cloud platforms, including AWS, Microsoft Azure, or Google Cloud Platform (GCP). Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or equivalent solutions. Strong understanding of infrastructure and application security best practices. Experience implementing and maintaining security controls across cloud infrastructure and application deployments. Excellent troubleshooting, analytical, and problem-solving skills. Strong communication and collaboration skills.<br><br>Preferred Qualifications<br><br>Experience working with microservices architecture. Knowledge of Dev Sec Ops principles and security automation. Experience with Linux system administration. Familiarity with cloud networking, IAM, and security services. Relevant cloud or Dev Ops certifications (AWS, Azure, GCP, Kubernetes, Terraform, etc.) are an advantage.<br><br>What We Offer<br><br>Opportunity to shape the future of cybersecurity in a high-impact venture. Collaborative, mission-driven culture with deep technical talent. Competitive compensation, benefits and relocation assistance (if applicable) Exposure to cutting-edge technologies and strategic partnerships.<br><br>Join us to drive innovation and shape the future of technology!<br><br>How To Apply<br><br>Are you ready to embark on an exciting journey with Quantum Gate? To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role.<br><br>Join us as we pioneer innovative solutions to secure the future of digital technology and protect tomorrow’s digital society.

Amali Properties is a luxury real estate developer co-founded by Mr. Ali Sajwani and Ms. Amira Sajwani, redefining modern luxury living through bespoke architecture, visionary design, and exceptional craftsmanship.<br>With a growing portfolio of ultra-luxury developments across the UAE, Amali is shaping the future of refined living through distinctive, design-led spaces that blend privacy, sophistication, and innovation.<br>About the Role We are seeking a highly analytical and detail-oriented Manager Internal Audit to support the development and execution of Amali’s Internal Audit function. This role will be responsible for evaluating the effectiveness of internal controls, risk management practices, governance processes, and operational compliance across the organization, with a particular focus on real estate development activities.<br>The Manager will work closely with business leaders and stakeholders to identify risks, assess control effectiveness, recommend process improvements, and ensure compliance with internal policies, regulatory requirements, and industry best practices.<br>Key Responsibilities<br>Plan and execute risk-based internal audits across business functions, including Development, Projects, Commercial, Procurement, Finance, Sales, CRM, and Corporate Functions. Assess the adequacy and effectiveness of internal controls, governance processes, and risk management frameworks. Conduct audits covering real estate development processes, project delivery, procurement, contract management, consultant appointments, variation approvals, and payment controls. Review project expenditures, procurement transactions, tendering processes, consultant contracts, and vendor management activities to ensure compliance with company policies and delegated authorities. Identify operational, financial, compliance, and project-related risks and recommend practical solutions to strengthen controls. Evaluate the effectiveness of project governance frameworks, approval workflows, and reporting mechanisms. Prepare audit findings, risk assessments, and management reports with clear recommendations and action plans. Monitor and follow up on audit observations to ensure timely implementation of agreed corrective actions. Support investigations, special reviews, and ad-hoc management requests as required. Assist in the continuous enhancement of internal audit methodologies, policies, procedures, and audit programs. Collaborate with business stakeholders to promote a culture of compliance, accountability, and continuous improvement. Ensure adherence to applicable regulatory requirements, corporate governance standards, and industry best practices.<br>Experience & Skills<br>Bachelor's degree in Accounting, Finance, Auditing, Business Administration, or a related discipline. Professional certifications such as CIA, ACCA, CPA, CA, CISA, or equivalent are preferred. Minimum 8–12 years of Internal Audit experience, with at least 5 years within a real estate development company. Mandatory experience auditing real estate development, construction, project delivery, procurement, and commercial operations. Strong understanding of project lifecycle controls, contract administration, procurement governance, budgeting, cost management, and delegated authority frameworks. Experience conducting operational, financial, compliance, and project audits. Strong knowledge of risk management principles, internal control frameworks, and corporate governance practices. Excellent analytical, problem-solving, report writing, and stakeholder management skills. Ability to interpret complex business processes and identify opportunities for control enhancements. Proficiency in ERP systems, audit tools, Microsoft Excel, and data analysis techniques. Strong communication and presentation skills with the ability to engage effectively with senior management and business leaders.<br>Preferred Qualifications<br>Additional certifications such as CIA, CISA, CFE, or PMP. Experience with project performance measurement techniques such as Earned Value Management (EVM). Exposure to BIM (Building Information Modelling) within project environments. Familiarity with data analytics tools such as ACL, IDEA, Power BI, or SQL/Python-based analysis. Experience working within the UAE or GCC real estate development sector.<br>If you believe you have the expertise to strengthen governance and risk management across world-class developments, please click apply and join Amali Properties in shaping the next generation of ultra-luxury real estate.

About Ansen Ansen is a globally expanding cybersecurity company driven by AI innovation. Headquartered in Abu Dhabi, we deliver advanced security technologies and professional services to government organizations and enterprises across international markets. Our mission is to build secure, resilient digital systems and protect the peace of the digital world.<br>Role Overview We are building a team of Forward Deployed Engineers (FDEs) to work directly with customers, internal stakeholders, and product teams to design, build, deploy, and scale high-impact AI-enabled systems in real operational environments.<br>This role sits at the intersection of software engineering, AI product development, solution architecture, and customer delivery. You will understand user workflows, rapidly prototype solutions, turn them into reliable production systems, and provide field insights that shape the product roadmap.<br>This is a team-based role. Individual candidates are not expected to be experts in every area. We are hiring complementary strengths across software engineering, AI/LLM engineering, data systems, cloud infrastructure, enterprise integrations, security, and production deployment.<br>Key Responsibilities Work directly with users and technical stakeholders to understand workflows, data sources, pain points, and success criteria. Translate ambiguous operational requirements into clear technical designs and deployable solutions. Build production-grade applications, APIs, integrations, data workflows, and AI-powered features. Develop LLM, RAG, agentic, extraction, classification, and decision-support workflows. Deploy and operate solutions using cloud platforms, containers, CI/CD, monitoring, logging, testing, and security controls. Debug issues across application, data, model, infrastructure, and integration layers. Scale successful pilots into production rollouts across multiple teams or customer environments. Identify reusable implementation patterns and convert customer feedback into actionable product requirements and playbooks.<br>Required Qualifications Strong software engineering experience in at least one major area, such as backend development, full-stack development, data engineering, AI engineering, cloud infrastructure, or enterprise integrations. Demonstrated ability to build and ship working software in real operational environments—not only prototypes or demos. Proficiency in one or more modern programming languages, such as Python, Type Script, Java Script, Go, or Java. Practical experience with APIs, databases, authentication, deployment workflows, and production debugging. Strong problem-solving ability in ambiguous and fast-moving environments. Sound judgment when balancing speed, reliability, security, scalability, and maintainability. Excellent communication skills and confidence working directly with both technical and non-technical stakeholders.<br>Relevant Team Capabilities Experience in one or more of the following areas is highly valued:Software and Product Engineering: Full-stack applications, backend services, APIs, event-driven systems, databases, enterprise integrations, and user-centered workflows. AI and LLM Engineering: RAG, AI agents, tool calling, evaluations, prompt regression testing, model monitoring, fine-tuning, inference optimization, and AI red teaming. Infrastructure, Dev Ops, and Security: AWS, Azure, GCP, private cloud, Docker, Kubernetes, Terraform, CI/CD, observability, IAM, audit logging, secrets management, and secure deployment patterns. Data and Enterprise Integration: ETL/ELT, streaming, document ingestion, data quality, schema design, and integrations with CRM, ERP, ticketing, SIEM/SOAR, email, document repositories, and internal databases.<br>Relevant backgrounds may include:Full-Stack Engineer Backend Engineer AI/LLM Engineer Data Engineer Dev Ops or Platform Engineer Solutions Architect Technical Consultant Cybersecurity Engineer Enterprise Software Implementation Engineer<br>Success in the First 3–6 Months Deliver working pilots or production features in real customer environments. Convert ambiguous requirements into usable technical solutions and repeatable implementation patterns. Improve adoption through close user engagement, clear communication, and practical engineering. Identify product gaps and provide actionable feedback to the core product roadmap.

Overview<br><br>Are you looking for an experience where you can learn and earn at the same time? Our internships provide valuable work experience while you prepare for life after graduation. Interns at Esri work on challenging projects with experienced team members throughout the company.<br><br>Each internship is a full-time, paid position with salaries comparable to other software development companies.<br><br>Being Paid Is Just One of the Perks<br><br>Other Great Perks Include<br><br>Up to 6 months of program with flexible start dates Free software training courses<br><br>Responsibilities<br><br>Esri interns contribute to real projects and are mentored by team members along the way. Some of our technically-oriented interns have worked on a wide range of exciting projects such as:<br><br>Research state of the art methods or approaches that can be used to improve the software or solve a new problem Help design, test, and document new functionality in Arc GIS products Develop use cases that show the value of spatial analysis in solving important problems that we face as a society Write blog posts or learn lessons that explain how to use Arc GIS to accomplish a well-defined goal Be part of building the world's leading GIS software from the ground up<br><br>Requirements<br><br>Basic knowledge of GIS and remote sensing Excellent test engineering and problem-solving skills Strong development skills using Java, C#, or Python Desire and ability to learn new skills and contribute to producing quality commercial software<br><br>Recommended Qualifications<br><br>The Company<br><br>At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.<br><br>If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!<br><br>Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.<br><br>Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

Job role A dedicated startup is being formed to industrialize and scale a secure, AI-enabled, multi-source decision-support software offering. The platform is a multi-sensor fusion and agentic AI solution connecting to diverse data sources (for example geospatial layers, imagery, video, and other operational signals). This role will support the delivery of a scalable product and contribute to establishing the processes, standards, and collaboration practices required for sustainable growth.<br>The Agentic AI Engineer is responsible for designing, developing, and deploying intelligent autonomous systems that can reason, plan, and act with minimal human intervention. This role focuses on building agent-based architectures, orchestrating multi-agent workflows, and integrating advanced AI models with tools, APIs, and real-world environments. The ideal candidate combines deep technical expertise in AI engineering with strong software architecture skills, enabling the creation of scalable, reliable, and secure agentic solutions. Job Responsibilities Design and implement agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution. Architect and build multi-agent frameworks, including planning, coordination, memory, and feedback loops. Integrate LLMs and other AI models with external tools, APIs, databases, and enterprise systems. Develop robust agent orchestration layers, including task routing, context management, and safety controls. Implement scalable backend services to support agent execution, state management, and event-driven workflows. Optimize agent performance through prompt engineering, model fine-tuning, retrieval-augmented generation (RAG), and caching strategies. Collaborate with product, data, and engineering teams to design end-to-end agentic solutions for real business use cases. Ensure agent systems adhere to security, privacy, and compliance requirements. Build monitoring, logging, and evaluation pipelines to track agent behavior, reliability, and performance. Conduct root-cause analysis and debugging for complex agent behaviors and emergent system issues. Maintain documentation for agent architectures, design patterns, and operational procedures.<br>Qualifications & Experience Typically 5+ years of relevant experience in a fast-paced product environment. Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or equivalent practical experience.3-5 years of experience in AI engineering, machine learning, backend engineering, or related fields. Strong hands-on experience with LLMs, AI frameworks, and agentic toolchains (Lang Chain, Llama Index, Open AI tools, custom agent frameworks, etc.). Proficiency in Python (required) and familiarity with additional languages such as Type Script, or C++ is a plus. Solid understanding of software architecture, distributed systems, and event-driven design. Experience building systems that integrate with APIs, databases, vector stores, and messaging brokers. Familiarity with RAG pipelines, embeddings, vector databases, and model fine-tuning. Experience with cloud platforms, like AWS, and container orchestration (Docker, Kubernetes). Knowledge of CI/CD pipelines, Git Hub workflows, and modern Dev Ops practices. Understanding of AI safety, evaluation, and guardrail frameworks is a plus.<br>Competencies Strong analytical and problem-solving skills, especially in complex or ambiguous AI-driven systems. Ability to design scalable, modular, and resilient agentic architectures. Excellent communication and cross-functional collaboration abilities. High attention to detail and commitment to reliability and safety in AI systems. Proactive mindset with a passion for innovation, automation, and continuous improvement. Ability to work independently, manage multiple priorities, and drive projects from concept to deployment. Strong sense of ownership and accountability for system behavior and outcomes.

Job role A dedicated startup is being formed to industrialize and scale a secure, AI-enabled, multi-source decision-support software offering. The platform is a multi-sensor fusion and agentic AI solution connecting to diverse data sources (for example geospatial layers, imagery, video, and other operational signals). This role will support the delivery of a scalable product and contribute to establishing the processes, standards, and collaboration practices required for sustainable growth.<br>The Agentic AI Engineer is responsible for designing, developing, and deploying intelligent autonomous systems that can reason, plan, and act with minimal human intervention. This role focuses on building agent-based architectures, orchestrating multi-agent workflows, and integrating advanced AI models with tools, APIs, and real-world environments. The ideal candidate combines deep technical expertise in AI engineering with strong software architecture skills, enabling the creation of scalable, reliable, and secure agentic solutions. Job Responsibilities Design and implement agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution. Architect and build multi-agent frameworks, including planning, coordination, memory, and feedback loops. Integrate LLMs and other AI models with external tools, APIs, databases, and enterprise systems. Develop robust agent orchestration layers, including task routing, context management, and safety controls. Implement scalable backend services to support agent execution, state management, and event-driven workflows. Optimize agent performance through prompt engineering, model fine-tuning, retrieval-augmented generation (RAG), and caching strategies. Collaborate with product, data, and engineering teams to design end-to-end agentic solutions for real business use cases. Ensure agent systems adhere to security, privacy, and compliance requirements. Build monitoring, logging, and evaluation pipelines to track agent behavior, reliability, and performance. Conduct root-cause analysis and debugging for complex agent behaviors and emergent system issues. Maintain documentation for agent architectures, design patterns, and operational procedures.<br>Qualifications & Experience Typically 5+ years of relevant experience in a fast-paced product environment. Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or equivalent practical experience.3-5 years of experience in AI engineering, machine learning, backend engineering, or related fields. Strong hands-on experience with LLMs, AI frameworks, and agentic toolchains (Lang Chain, Llama Index, Open AI tools, custom agent frameworks, etc.). Proficiency in Python (required) and familiarity with additional languages such as Type Script, or C++ is a plus. Solid understanding of software architecture, distributed systems, and event-driven design. Experience building systems that integrate with APIs, databases, vector stores, and messaging brokers. Familiarity with RAG pipelines, embeddings, vector databases, and model fine-tuning. Experience with cloud platforms, like AWS, and container orchestration (Docker, Kubernetes). Knowledge of CI/CD pipelines, Git Hub workflows, and modern Dev Ops practices. Understanding of AI safety, evaluation, and guardrail frameworks is a plus.<br>Competencies Strong analytical and problem-solving skills, especially in complex or ambiguous AI-driven systems. Ability to design scalable, modular, and resilient agentic architectures. Excellent communication and cross-functional collaboration abilities. High attention to detail and commitment to reliability and safety in AI systems. Proactive mindset with a passion for innovation, automation, and continuous improvement. Ability to work independently, manage multiple priorities, and drive projects from concept to deployment. Strong sense of ownership and accountability for system behavior and outcomes.

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>Work with Us. Change the World.</strong></p><br><p>At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.</p><br><p>There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.</p><br><p>We're one global team driven by our common purpose to deliver a better world. Join us.</p><br><br>Job Description<br><p>AECOM 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.</p><br><p>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.</p><br><p>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.</p><br><p>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.</p><br><p><strong>Desirable Knowledge and Expertise</strong></p><br><p>Candidates will be expected to possess deep expertise in one or more of the following:</p><br><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><p><strong>Technical Skills Range</strong></p><br><p>Candidates will be expected to possess skills in one or more of the following:</p><br><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><p><strong>Culture and Personality</strong></p><br><p>Candidates will be expected to possess as many of these attributes as possible:</p><br><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><p><strong>Outline of Duties</strong></p><br><p>Working as a collaborative team member, this individual will be responsible for:</p><br><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><p><strong>Managing and delivering specific activities within projects, including:</strong></p><br><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><br>Qualifications<br><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><br>Additional Information<br><p><em>At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. <strong>To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.</strong></em></p><br><p><strong>About AECOM</strong>&nbsp;</p><br><p>AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&amp;D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options,&nbsp;well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.&nbsp;</p><br><p>AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.&nbsp;</p><br><p><strong>What makes AECOM a great place to work</strong>&nbsp;</p><br><p>You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity.&nbsp;</p><br><p>As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.&nbsp;</p><br><br><br> </div>

<p><strong>Senior AI Engineer</strong></p><p>Salary: 38k-42k AED per month + benefits </p><p>Abu Dhabi </p><p><br></p><p><strong>Discover the opportunity</strong></p><p>We are hiring a Senior AI Engineer to join an elite innovation hub. As part of an ambitious engineering organisation, our client explores new ideas, builds working MVPs, validates them with customers, and creates groundbreaking products across multiple domains. </p><p><br></p><p><strong>Discover the role</strong></p><p>As a Senior AI Engineer, you will take on a hands on technical leadership role designing, building, evaluating, and scaling applied AI systems. You will lead the development of AI enabled products, including LLM applications, RAG systems, AI agents, workflow automation, copilots, document intelligence, and AI powered decision support tools. </p><p><br></p><p><strong>Discover the responsibilities</strong></p><ul><li>Lead the design and development of AI products from early concept to MVP, customer validation, and early production readiness</li><li>Translate ambiguous business problems into AI solution designs, experiments, architecture diagrams, and working systems</li><li>Build LLM based applications using commercial and open source models</li><li>Build RAG systems including document ingestion, parsing, chunking, embeddings, vector search, hybrid search, and citation generation</li><li>Build AI agents and tool calling workflows that use APIs, databases, search, documents, business rules, and human review steps</li><li>Design orchestration patterns for multi step AI workflows, including planning, tool execution, guardrails, retries, fallback paths, state management, and traceability</li><li>Build AI evaluation pipelines using golden datasets, test cases, automated checks, human review, quality scoring, regression testing, and failure analysis</li><li>Partner with Senior Full Stack Engineers to integrate AI capabilities into complete products, APIs, dashboards, workflows, and customer facing experiences </li></ul><p><br></p><p><br></p><p><strong>Discover the requirements</strong></p><ul><li>Strong experience building applied AI products, LLM based applications, AI platforms, or machine learning systems</li><li>Arabic Speaker Required</li><li>Proven ability to lead technical direction for AI systems in complex and ambiguous environments</li><li>Hands on experience with LLMs, prompt design, embeddings, vector databases, RAG, model APIs, structured outputs, and AI orchestration</li><li>Experience building AI agents, tool calling workflows, function calling, workflow automation, or AI powered business processes</li><li>Strong programming experience in Python and a solid background in production software engineering practices</li><li>Experience with AI frameworks and libraries such as LangChain, LlamaIndex, Semantic Kernel, Haystack, AutoGen, CrewAI, or similar tools</li><li>Experience with vector stores and search systems such as pgvector, Pinecone, Weaviate, Qdrant, Elasticsearch, OpenSearch, Azure AI Search, or similar platforms</li><li>Experience evaluating AI systems using structured test sets, quality metrics, automated evaluation, human review, or benchmark based approaches</li><li>Strong understanding of AI safety, privacy, security, prompt injection defense, data leakage prevention, and operational failure modes</li><li>Ability to optimize AI systems for cost, latency, quality, reliability, and scalability</li></ul><p><br></p>

<strong>Job Description<br><br></strong><strong>About Wynn Al Marjan Island:<br><br></strong>On schedule to open in the United Arab Emirates in 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.<br><br><strong>About The Position<br><br></strong>Wynn Al Marjan Island is looking for a <strong>Data Scientist </strong> to join our <strong>Database Marketing </strong>team.<br><br><strong>Responsibilities<br><br></strong>The primary duties and responsibilities of this role are:<br><br><ul><li> Build, maintain and optimize predictive models for the Gaming Marketing Campaigns </li><li> Prepare datasets for modeling: cleaning, transforming, feature engineering, and validating data sources </li><li> Maintain documentation for model inputs, business rules, and assumptions </li><li> Support campaign operations by producing analytical variables, flags, segments, and model driven attributes </li><li> Perform ad hoc analysis to support marketing decision making </li><li> Build and maintain performance dashboards and recurring reports for Models and Campaigns performance </li><li> Work with the Campaign Manager to ensure model outputs are correctly used during targeting and list creation </li><li> Collaborate with Loyalty Marketing and other business units to understand their data needs and provide analytical support </li><li> Assist in test and learn initiatives (eg., A/B tests, offer calibration) through proper setup and data preparation </li><li> Perform checks to identify anomalies, missing data, or unexpected trends </li><li> Keep analytical workflows organized, reproducible, and documented </li><li> Summarize findings clearly for non-technical stakeholders <br><br></li></ul><strong>About You<br><br></strong><ul><li> Master or Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related analytical field. </li><li> +2 years of experience in data science and analytics (Gaming experience is a plus but not required). </li><li> Strong Python and SQL skills for data manipulation and analysis. </li><li> Experience with Machine learning models (experience with Databricks is a plus) </li><li> Solid understanding of basic statistical concepts (regression, segmentation, clustering, sampling, validation) </li><li> Experience working with large datasets and operational, recurring analytical tasks. </li><li> High attention to detail with strong QA instincts. </li><li> Ability to explain analytical outputs clearly to non‑technical stakeholders. </li><li> Organized, reliable, and willing to handle operational and routine tasks as part of learning the gaming analytics environment. <br><br></li></ul><strong>About Wynn Al Marjan Island’s Benefits<br><br></strong>We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package, incentive programs, and other employee benefits . The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.

<p><strong>Project description</strong></p><p>The Murex FO support analyst will be required to be part of GM IT FO Squad responsible to provide IT services to Global Markets team. The squad is responsible for support, change request and projects pertaining to Global Markets. Key responsibilities of the role include providing level 1 / level 2 trading floor support to traders and control groups</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Support traders, middle office users on daily issues including PL / position mismatches / market data, mkt operations, etc.</li><li>Configure curves (rate, rate hedge, credit) and static data including securities, generators, indices, currencies, vol surface, portfolios, user groups, access rights etc., in Murex.</li><li>Write new pre trade rules, create / amend lookup tables / simulation views / e-tradepad strategies / Live Book views.</li><li>Work on Patch upgrades / version upgrades testing to reconcile any PL / Greeks issue &amp; avoid any regressions.</li><li>Reporting on progress on issues / showstoppers to manager and other stakeholders</li><li>Assist in developing business and operational processes and to participate in developing system training artefacts when required</li></ul><p><br></p><p><strong>Skills</strong></p><p><strong>Must have</strong></p><ul><li>Minimum 7-10 years of experience as Murex Front office support</li><li>Extensive experience in setting up and validating Interest rate curves including for ARRs.</li><li>Expertise in multiple asset classes (at least 2 of the following) such as IR vanilla and exotic derivatives, Equity Derivatives, Commodity Derivatives, FX Derivatives, Structured Products Credit Derivatives, FIMM (Fixed Income, / Money Market). One of the two must be Exotics</li><li>Expertise in terms of pricing, valuation, risk management and sensitivities including for exotic products.</li><li>Strong exposure to FO Modules of Murex</li><li>E-Tradepad, Simulation, Livebook, RTPM, Pre-Trade Workflow, Market Data, Dynamic Tables, P&amp;L Notepad, FDI Templates, Blotters, Risk Matrices etc.</li><li>Experience in implementation and supporting Murex v3.1 with regards to front office capabilities</li><li>Excellent knowledge of Capital Markets products and processes, front to back.</li><li>Experience on implementation of both linear and non-linear products in Murex</li><li>Strong analytical and problem-solving skills accompanied with excellent communication. Strong understanding of the financial markets, trading, and banking solutions</li><li>Strong knowledge of the Global Markets products and practices, front-to-end: pricing, limit checks, booking, risk management, accounting generation, settlements, and confirmation generation</li><li>Candidate must be technically astute and have had relevant exposure and experience with bank systems and processes.</li><li>Strong proven track record of liaising with stakeholders for business requirements, specification documents, testing processes and other relevant information.</li><li>Strong numerical skills coupled with the ability to deliver well under pressure and tight deadlines.</li><li>Candidate must display strong verbal and written communication skills</li></ul><p><br></p><p>Nice to have</p><ul><li>Knowledge of Python, SQL, or scripting languages used for pricing validation and reconciliation</li></ul><p><br></p><p><strong>Languages:</strong></p><ul><li>English: C1 Advanced</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description The Murex FO support analyst will be required to be part of GM IT FO Squad responsible to provide IT services to Global Markets team. The squad is responsible for support, change request and projects pertaining to Global Markets. Key responsibilities of the role include providing level 1 / level 2 trading floor support to traders and control groups Responsibilities Support traders, middle office users on daily issues including PL / position mismatches / market data, mkt operations, etc. Configure curves (rate, rate hedge, credit) and static data including securities, generators, indices, currencies, vol surface, portfolios, user groups, access rights etc., in Murex. Write new pre trade rules, create / amend lookup tables / simulation views / e-tradepad strategies / Live Book views. Work on Patch upgrades / version upgrades testing to reconcile any PL / Greeks issue &amp; avoid any regressions. Reporting on progress on issues / showstoppers to manager and other stakeholders Assist in developing business and operational processes and to participate in developing system training artefacts when required Skills Must have Minimum 7-10 years of experience as Murex Front office support Extensive experience in setting up and validating Interest rate curves including for ARRs. Expertise in multiple asset classes (at least 2 of the following) such as IR vanilla and exotic derivatives, Equity Derivatives, Commodity Derivatives, FX Derivatives, Structured Products Credit Derivatives, FIMM (Fixed Income, / Money Market). One of the two must be Exotics Expertise in terms of pricing, valuation, risk management and sensitivities including for exotic products. Strong exposure to FO Modules of Murex E-Tradepad, Simulation, Livebook, RTPM, Pre-Trade Workflow, Market Data, Dynamic Tables, P&amp;L Notepad, FDI Templates, Blotters, Risk Matrices etc. Experience in implementation and supporting Murex v3.1 with regards to front office capabilities Excellent knowledge of Capital Markets products and processes, front to back. Experience on implementation of both linear and non-linear products in Murex Strong analytical and problem-solving skills accompanied with excellent communication. Strong understanding of the financial markets, trading, and banking solutions Strong knowledge of the Global Markets products and practices, front-to-end: pricing, limit checks, booking, risk management, accounting generation, settlements, and confirmation generation Candidate must be technically astute and have had relevant exposure and experience with bank systems and processes. Strong proven track record of liaising with stakeholders for business requirements, specification documents, testing processes and other relevant information. Strong numerical skills coupled with the ability to deliver well under pressure and tight deadlines. Candidate must display strong verbal and written communication skills Nice to have Knowledge of Python, SQL, or scripting languages used for pricing validation and reconciliation Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job description <p>​<br>This is a chance to join one of Abu Dhabi’s fastest-growing AI organisations and work on machine learning systems that are already being used by governments and major enterprises around the world.<br>The company is building practical, production-grade AI products across multiple industries, with a strong focus on taking advanced machine learning out of the lab and into real-world use.<br>They’re now looking for a Senior Machine Learning Engineer to join a highly technical team and help design, build and deploy the next generation of AI systems.<br>Alongside the technical challenge, the role comes with a strong tax-free package, annual bonus, relocation support and family benefits.<br><b>The role</b><br>You’ll work across the full machine learning lifecycle, from data preparation and model development through to deployment, monitoring and optimisation in production.<br>A big part of the role will be building scalable ML systems that can perform reliably in complex, high-impact environments. You’ll work closely with Software Engineers, Data Scientists and Product teams to integrate models into wider applications and platforms.<br>The work will cover areas such as NLP, LLMs and large-scale AI systems, with scope to contribute to architecture, technical direction and the wider engineering standards used across the team.<br>You’ll also help improve model performance, reliability and maintainability, while making sure systems meet the security and scalability requirements expected in production.</p><br><p>​</p><br><p><b>What we're looking for</b></p><br><ul><li><p>Strong commercial experience in Machine Learning Engineering or a similar role.</p><br></li><li><p>Solid experience across machine learning, deep learning and statistical modelling.</p><br></li><li><p>Proven experience building and deploying models into production.</p><br></li><li><p>Strong Python skills and hands-on experience with frameworks such as PyTorch, TensorFlow or JAX.</p><br></li><li><p>Experience working with large datasets and production ML pipelines.</p><br></li><li><p>Good understanding of NLP, LLMs or other large-scale AI systems.</p><br></li><li><p>Familiarity with cloud platforms, containers and modern MLOps practices.</p><br></li><li><p>Comfortable working in fast-moving, highly technical engineering environments.</p><br></li></ul><p>Experience with generative AI, distributed systems, high-performance computing or regulated industries would be a plus.<br><b>What’s on offer</b><br>The package reflects the level of the role, with a competitive tax-free salary and annual bonus of up to 30%.<br>You’ll also receive full relocation support, visa sponsorship and private healthcare for you and your family, plus an education allowance for up to three children.<br>Most importantly, you’ll be joining a fast-scaling AI organisation where the work is already being deployed at serious scale, with plenty of scope to influence how the technology develops as the team grows.</p><br><br> </div>