D

AI Platform Engineer

DeepLight

Posted 2 months ago

Employment Type

Full Time

Location

Abu Dhabi

Job Listing No Longer Available

This job posting is no longer accepting applications. It may be more than 30 days old or the position has been filled.

Requirements

On-prem Kubernetes, Infrastructure as code, GPU scheduling, Container orchestration, CI/CD automation, Linux administration, Docker experience, MLOps workflows, Monitoring & logging, Python Bash scripting, Networking fundamentals, Consultancy experience

Required Skills

Kubernetes Terraform Helm Ansible Docker Linux GPU Prometheus Grafana ELK TensorFlow PyTorch Hugging Face Kubeflow Ray CI/CD MLOps Python Bash On-prem

Job Description

Responsibilities

  • Design, deploy and operate on-premises Kubernetes clusters tailored for AI/ML workloads
  • Build and maintain infrastructure-as-code (Terraform, Helm, Ansible) for reproducible environments
  • Implement GPU scheduling, resource management and scaling strategies for large-model training and inference
  • Develop and optimise AI/ML pipelines and MLOps workflows for training, deployment and monitoring
  • Manage containerisation, networking and storage solutions to meet performance and reliability goals
  • Implement observability, monitoring and logging (Prometheus, Grafana, ELK) for platform health and cost control
  • Automate operational processes and CI/CD for model lifecycle and platform components
  • Collaborate with data scientists and ML engineers to deliver high-performance compute environments
  • Ensure platform security, compliance and operational reliability in an on-prem environment

Requirements

  • On-prem Kubernetes
  • Infrastructure as code
  • GPU scheduling
  • Container orchestration
  • CI/CD automation
  • Linux administration
  • Docker experience
  • MLOps workflows
  • Monitoring & logging
  • Python / Bash scripting
  • Networking fundamentals
  • Consultancy experience

Preferred Qualifications

  • Hands-on experience with TensorFlow, PyTorch, Hugging Face, Ray or Kubeflow
  • Proven track record supporting large-model training and inference workloads
  • Familiarity with storage solutions for high-throughput GPU workloads (NVMe, Ceph, NFS)
  • Experience with cluster capacity planning and cost optimisation for on-prem AI infrastructure
  • Strong understanding of security best practices for enterprise AI platforms
  • Previous experience delivering platform solutions in a consultancy or client-facing role

Benefits

  • Competitive salary and performance bonuses
  • Comprehensive health insurance coverage
  • Professional development and certification support
  • Annual leave and paid leave provisions
  • International exposure and travel opportunities (flights)
  • Flexible working arrangements (hybrid)
  • Career advancement opportunities in a growing AI consultancy

About the Company

DeepLight is a specialist AI and data consultancy delivering intelligent enterprise systems across multiple industries, with particular depth in financial services and environmental sectors. We combine expertise in data science, statistical modeling, AI/ML technologies, workflow automation and systems integration to implement practical, high-impact solutions for clients. This role sits in Abu Dhabi and focuses on building robust, secure on-prem AI platforms to enable large-scale ML and generative AI workloads.

How to Apply

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