441 AI Infrastructure jobs in the United Arab Emirates

We are seeking a skilled professional to design, develop, and maintain large-scale AI infrastructure. As an AI Infrastructure Developer , you will be responsible for creating and implementing robust AI platforms to support our business objectives.

Key Responsibilities:

1. Design and develop AI infrastructure using scalable technologies.
2. Develop and maintain data pipelines and architectures.
3. Collaborate with cross-functional teams to integrate AI models with business applications.
4. Implement automated testing and deployment scripts.
5. Ensure platform security, scalability, and reliability.

Requirements:

1. Bachelor's degree in Computer Science or related field.
2. 3 years of experience in AI infrastructure development.
3. Proficiency in programming languages such as Python, Java, or C.
4. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
5. Strong understanding of data structures, algorithms, and software design patterns.

Preferred Qualifications:

• Master's degree in Computer Science or related field.
• Experience with cloud-based services (e.g., AWS, GCP, Azure).
• Knowledge of DevOps practices and tools (e.g., Docker, Kubernetes).

As a key member of our organization, you have the opportunity to shape and evolve our machine learning capabilities across various teams. To unlock our potential, we require robust, efficient, and scalable ML platforms that empower teams to build, deploy, and operate intelligent systems with speed and reliability.

As an AI infrastructure specialist, your mission is to design and maintain the infrastructure and tooling that accelerates the development, deployment, and monitoring of machine learning models in production.

• Design, Build, and Maintain Scalable ML Platforms
• Collaborate with data scientists and ML engineers to understand their workflows and abstract them into flexible platform components and services.
• Automate and streamline ML model training pipelines, model versioning, artifact management, and deployment workflows using modern MLOps practices.
• Integrate with infrastructure components (e.g., feature stores, model registries, experiment tracking, orchestration engines) and cloud-native services to build robust systems.
• Ensure reliability, observability, and scalability of production ML workloads; implement monitoring, alerting, and performance evaluation for deployed models.
• Support reproducibility and governance in ML development by building infrastructure for metadata tracking, lineage, and auditability.
• Drive engineering best practices within the ML platform including CI/CD, testing, documentation, and performance optimization.
• Partner with data engineering, product, and infra teams to align ML platform initiatives with broader company goals and architecture.
• Contribute to internal documentation, onboarding, and tooling adoption for data scientists and ML engineers.
• Champion a platform mindset and improve developer productivity by reducing friction in the ML workflow.

**Job Summary:**

MLOps Specialists play a crucial role in bridging the gap between data science and IT operations, ensuring seamless integration of machine learning models into production environments.

Key Responsibilities:

• Create and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines for developing, testing, and deploying machine learning models.
• Automate model deployment and monitoring in production settings.
• Implement Infrastructure as Code (IaC) to manage ML infrastructure, ensuring consistency and scalability.
• Analyze and resolve issues related to model deployment and performance.
• Collaborate with data scientists and engineers to optimize model performance, scalability, and integration.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5 years of experience in MLOps, DevOps, or a related role.
• In-depth understanding of machine learning concepts, algorithms, and cloud platforms (AWS, Azure, GCP).
• Proficiency in Python or similar scripting languages.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools like Jenkins, GitLab CI, CircleCI, or similar.

About This Role:

This is an exciting opportunity to work with cutting-edge technology and be part of a dynamic team. If you are passionate about MLOps and eager to take on new challenges, we encourage you to apply.

We are seeking a skilled AI Infrastructure Specialist to join our team. The successful candidate will be responsible for building and maintaining scalable machine learning pipelines, deploying and monitoring models in production, and collaborating with data scientists to take prototypes through to production-grade solutions.

This role requires strong technical skills, including experience with Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and MLOps tools and platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML). The ideal candidate will also have a solid understanding of CI/CD, containerization (Docker, Kubernetes), and cloud-based ML infrastructure.

• Bachelor's/Master's degree in Computer Science, Data Science, Engineering, or related field.
• 4+ years of hands-on experience in MLOps, with a strong background in deploying and managing ML models in production.
• Proven experience in pricing optimization, shipping, logistics, or supply chain AI solutions.
• Strong problem-solving skills and ability to work collaboratively in a team environment.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

The selected candidate will be required to work closely with engineering teams to streamline data flows from operational systems and ensure data readiness.

Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more.

This role plays a key part in achieving that mission. You'll be helping to build real systems that impact millions of people across the Middle East, North Africa, and Pakistan.

Our organization is seeking a highly skilled AI Infrastructure Specialist to join our team. This critical role involves bridging the gap between data science and IT operations, ensuring seamless integration of machine learning models into production environments.

The ideal candidate will possess strong knowledge of machine learning concepts, algorithms, and cloud platforms (AWS, Azure, GCP), as well as proficiency in Python or similar scripting languages. Experience with Docker and Kubernetes is also essential, along with familiarity with Jenkins, GitLab CI, CircleCI, or similar tools.

We are looking for an individual who can develop and maintain efficient CI/CD pipelines, automate deployment and monitoring, and implement infrastructure as code (IaC) to manage ML infrastructure using code. The ability to troubleshoot and resolve issues related to model deployment and performance is also crucial.

The successful candidate will have excellent collaboration skills, working closely with data scientists and engineers to optimize model performance, scalability, and integration. A bachelor's degree in Computer Science or a related field and at least 5 years of experience in MLOps, DevOps, or a related role are required.

• Responsibilities:
• Developing and maintaining CI/CD pipelines
• Automating deployment and monitoring
• Implementing infrastructure as code (IaC)
• Troubleshooting and resolving issues
• Collaboration with data scientists and engineers

• Requirements:
• Bachelor's degree in Computer Science or a related field
• At least 5 years of experience in MLOps, DevOps, or a related role
• Strong knowledge of machine learning concepts, algorithms, and cloud platforms (AWS, Azure, GCP)
• Proficiency in Python or similar scripting languages
• Experience with Docker and Kubernetes
• Familiarity with Jenkins, GitLab CI, CircleCI, or similar tools

We are seeking a highly capable engineer to lead the design, implementation, and management of automated infrastructure provisioning for high-performance AI data centers.

This role is central to orchestrating compute, network, storage, and virtualization layers using modern automation tools across on-premises and hybrid cloud environments.

The ideal candidate will play a strategic role in enabling scalable and repeatable deployment pipelines that support GPU clusters, AI model training environments, and containerized platforms such as Kubernetes and Responsibilities:

• Design and implement automation frameworks to automate the provisioning and configuration of data center infrastructure for AI workloads.
• Orchestrate and manage multi-layer automation across compute (GPU / CPU), networking (VXLAN, EVPN, BGP), storage (NVMe, object, parallel file systems), and virtualization platforms (KVM, VMware, OpenShift).
• Develop reusable modules, playbooks, and templates to define infrastructure in version-controlled environments.
• Automate deployment of Kubernetes clusters and integrate with GPU operators for training and inference pipelines.
• Build and maintain CI / CD pipelines to deploy, test, and manage infrastructure changes using tools like GitLab CI / CD, Jenkins, or ArgoCD.
• Integrate with monitoring and observability stacks (Prometheus, Grafana, DCGM) for automated infrastructure validation and health monitoring.
• Work closely with AI / ML platform teams to align infrastructure deployment with model training, data pipelines, and security policies.
• Ensure compliance with security and operational standards through policy-as-code and drift detection

Cisco is seeking a highly skilled and dedicated program director to lead a critical AI infrastructure project within the Middle East. This role will be an integral part of the AI Infrastructure team, responsible for driving Cisco's product solutions and supervising all technical and operational aspects of a specific AI project.

• Product Solution & Portfolio Leadership: Drive the adoption and integration of Cisco's comprehensive product portfolio (hardware, software, and services) to meet the unique technical and operational demands of AI infrastructure within sovereign cloud environments.
• Technical & Operational Expertise: Apply deep technical and operational understanding of hyperscale cloud environments, AI infrastructure, and data center networking.
• Program Leadership & Execution: Lead the successful planning, execution, and delivery of a designated strategic AI infrastructure program, ensuring alignment with customer requirements and Cisco's strategic objectives.
• Customer Relationship Management: Serve as the main point of contact for the assigned customer program, building and maintaining strong, trusted relationships with key technical and operational customers.
• Multi-functional Coordination: Facilitate seamless teamwork across various Cisco internal teams to ensure timely and effective delivery of solutions for the assigned program.
• Opportunity & Prioritization: Identify and assess new opportunities within the assigned program, bringing together both successes and lessons learned from any lost opportunities.

Required Skills & Qualifications:

• Senior Product Leadership: 10+ years of dynamic experience in program management, technical sales, solutions architecture, or product management within the networking, ASIC, or network software domains.
• In-Region Expertise: Demonstrated experience working within the Middle East region, with a strong understanding of local business practices, cultural nuances, and regulatory environments.
• Deep Technical Competence: Extensive technical and operational understanding of hyperscale cloud environments, AI infrastructure, and data center networking.

Preferred Qualifications:

• Customer Engagement: Excellent customer-facing skills, including presentation abilities and a strong focus on building and maintaining relationships with key customer partners.
• Multi-functional Collaboration: Validated ability to coordinate and drive efforts across diverse internal teams within a large, matrixed organization to achieve program objectives.
• Problem-Solving: Strong critical thinking, problem-solving, and decision-making abilities in a fast-paced, dynamic environment.
• Communication & Influence: Superior communication, presentation, and influencing skills, capable of engaging effectively with technical leaders and senior management.

Engineer - Pre Sales and Product Management

Job Type

Professional

AI or Artificial Intelligence

Job Id

1445900

• Area of Interest Engineer - Pre Sales and Product Management
• Job Type Professional
• Technology Interest AI or Artificial Intelligence
• Job Id

Please note this posting is to advertise potential job opportunities. This exact role may not be open today, but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

Job Summary : Cisco is seeking a highly skilled and dedicated Director to lead a critical AI infrastructure program within the Middle East, such as our partnerships with G42, or UAE Stargate. This role will be an integral part of the AI Infrastructure team, responsible for driving Cisco's product solutions, running the day-to-day relationship, and supervising all technical and operational aspects of a specific, high-profile AI project. The ideal candidate will possess a strong technical background in hyperscale environments and AI workloads, coupled with validated experience navigating and succeeding within the local business and cultural landscape of the Middle East.

Key Responsibilities :

• Product Solution & Portfolio Leadership : Drive the adoption and integration of Cisco's comprehensive product portfolio (hardware, software, and services) to meet the unique technical and operational demands of AI infrastructure within sovereign cloud environments. This includes understanding and influencing product roadmaps across various organizations such as AI networking, AI compute, Optics, CHG (Common Hardware Group), Security, and more.
• Technical & Operational Expertise : Apply deep technical and operational understanding of hyperscale cloud environments, AI infrastructure, and sophisticated networking to the program. This includes :
• Understanding AI workload requirements, including GPU consumption and the shift from InfiniBand (IB) to Ethernet Back-End (BE) networks.
• Ability to document and analyze the customer's network architecture (Front-End, Back-End, Backbone) and identify Cisco's positioning and opportunities.
• Awareness of driven solutions and the ability to articulate Cisco's value proposition within the program context.
• Program Leadership & Execution : Lead the successful planning, execution, and delivery of a designated strategic AI infrastructure program (e.g., G42, or UAE Stargate), ensuring alignment with customer requirements and Cisco's strategic objectives.
• Customer Relationship Management : Serve as the main point of contact for the assigned customer program, building and maintaining strong, trusted relationships with key technical and operational customers. Understand their evolving needs and translate them into actionable plans for Cisco.
• Multi-functional Coordination : Facilitate seamless teamwork across various Cisco internal teams, including engineering, sales, product management, and services, to ensure timely and effective delivery of solutions for the assigned program. Create vital forums for opportunity identification and issue resolution.
• Opportunity & Prioritization : Identify and assess new opportunities within the assigned program, bringing together both successes and lessons learned from any lost opportunities. Prioritize program activities and technical requirements to increase impact and strategic imperative.
• Communication & Influence : Effectively communicate complex technical and program-related information to both technical and non-technical audiences, influencing decisions and driving consensus within the program.

Minimum Qualifications :

• Senior Product Leadership : 10+ years of dynamic experience in program management, technical sales, solutions architecture, or product management within the networking, ASIC, or network software domains, with a consistent track record of leading large-scale, complex technology programs.
• In-Region Expertise : Demonstrated experience working within the Middle East region, with a strong understanding of local business practices, cultural nuances, and regulatory environments.
• Deep Technical Competence : Extensive technical and operational understanding of hyperscale cloud environments, AI infrastructure, and data center networking, including :
• Experience with network / ASIC product management and / or network software product management.
• Validated knowledge of the shift to Ethernet Back-End networks and GPU-centric architectures for AI workloads.
• Ability to analyze and understand sophisticated network topologies (FE, BE, BB).
• Bachelor's degree or equivalent experience in engineering, computer Science, or related technical field.

Preferred Qualifications :

• Customer Engagement : Excellent customer-facing skills, including presentation abilities and a strong focus on building and maintaining relationships with key customer partners.
• Multi-functional Collaboration : Validated ability to coordinate and drive efforts across diverse internal teams within a large, matrixed organization to achieve program objectives.
• Problem-Solving : Strong critical thinking, problem-solving, and decision-making abilities in a fast-paced, dynamic environment.
• Communication & Influence : Superior communication, presentation, and influencing skills, capable of engaging effectively with technical leaders and senior management.
• Operational Rigor : Experience with project management methodologies and tools (e.g., JIRA) to track and run program progress effectively.
• Cisco Internal Knowledge : Familiarity with Cisco's internal development methodologies and NPI (New Product Introduction) lifecycle.
• Master's degree or equivalent experience

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put – we power the future.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with

empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Message to applicants applying to work in the U.S. and / or Canada :

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and / or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees haveaccess to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.

Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days ofvacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Offpolicy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours ofunused sick timewill be carried forwardfrom one calendar yearto the nextsuch that the maximum number of sick time hours an employee may have available is160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows :

• 75% of incentive target for each 1% of revenue attainment up to 50% of quota;

1.5% of incentive target for each 1% of attainment between 50% and 75%;

1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

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