Job Search and Career Advice Platform

Enable job alerts via email!

AI Platform Engineer

Deeplight

Abu Dhabi

On-site

AED 120,000 - 200,000

Full time

30+ days ago

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

An innovative AI consultancy in the UAE is seeking an AI Platform Engineer to design and maintain AI infrastructure on-premises. The ideal candidate will have extensive experience with Kubernetes, infrastructure automation, and a strong background in container orchestration. This position offers competitive salary, health insurance, and opportunities for career advancement in cutting-edge AI projects.

Benefits

Competitive salary and performance bonuses
Comprehensive health insurance
Professional development support
Flexible working arrangements

Qualifications

  • Proven experience managing Kubernetes clusters on-premises.
  • Strong background in container orchestration and automation.
  • Hands-on experience with infrastructure-as-code.

Responsibilities

  • Design, deploy, and manage Kubernetes clusters for AI workloads.
  • Develop infrastructure-as-code solutions.
  • Collaborate with teams for high-performance computing environments.

Skills

Kubernetes management
Infrastructure automation
Linux administration
Container orchestration
Scripting (Python, Bash, Go)

Tools

Terraform
Helm
Ansible
Docker
Prometheus
Grafana
Job description

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI / ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.

The AI Platform Engineer helps design, build and maintain the on-premises AI Infrastructure for our client, a market leader in the environment sector. The engineer plays a key role in enabling large-scale machine learning and generative AI workloads by developing robust, scalable, and secure platform solutions that support data scientists and ML engineers across the organisation.

The role requires deep Kubernetes and infrastructure automation experience to optimise performance, streamline deployments, and ensure reliability in an on-prem environment.

Requirements
  • Design, deploy, and manage on-premises Kubernetes clusters for AI and ML workloads.
  • Develop and maintain infrastructure-as-code using tools like Terraform, Helm, or Ansible.
  • Build and optimise AI / ML pipelines and MLOps workflows for model training, deployment, and monitoring.
  • Collaborate with data science and engineering teams to deliver high-performance computing environments for large model training and inference.
  • Implement resource management, observability, and scaling strategies for GPU-based workloads.
  • Manage containerisation, networking, and storage solutions for AI workloads.
  • Ensure security, compliance, and reliability of the AI platform.
  • Automate operational processes and continuously improve platform efficiency.
What we need from you :
  • Proven experience managing Kubernetes clusters on-premises (not just cloud-managed solutions).
  • Experience working in a Consultancy capacity.
  • Strong background in container orchestration, CI / CD, and automation.
  • Proficiency in Linux administration, Docker, and networking fundamentals.
  • Hands‑on experience with infrastructure-as-code (Terraform, Helm, Ansible, etc.).
  • Experience supporting AI / ML workloads (e.g., TensorFlow, PyTorch, Hugging Face, Ray, Kubeflow).
  • Familiarity with GPU scheduling and resource management on Kubernetes.
  • Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.).
  • Strong scripting skills (Python, Bash, or Go).
  • Understanding of DevOps and MLOps best practices.
Benefits & Growth Opportunities :
  • Competitive salary and performance bonuses
  • Comprehensive health insurance
  • Professional development and certification support
  • Opportunity to work on cutting‑edge AI projects
  • International exposure and travel opportunities
  • Flexible working arrangements
  • Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.