AI Ops Engineer

Location:

Abu Dhabi (Onsite)

Contract Duration:

Initial 12 months extendable contract

Key Responsibilities

• Build and maintain end-to-end MLOps/LLMOps pipelines using DevOps best practices.

• Deploy, monitor, version, and roll back AI/ML models in production.

• Build scalable and GPU-optimized workflows for AI training and inference.

• Operate AI models and applications as reliable production services.

• Support RAG and agentic AI workflows in production environments.

• Monitor AI inference usage, including TPM/quota, performance, and consumption/cost

  .

• Implement data preprocessing, feature engineering, and model evaluation workflows as required.

• Support fine-tuning and deployment of pre-trained LLM, NLP, and computer-vision models

  .

• Ensure AI solutions are reproducible, governed, documented, and compliant

  .

• Contribute to AI infrastructure strategy and responsible/ethical AI practices.

Requirements

• Experience in DevOps, Cloud, SRE, Platform Engineering, or Infrastructure

  .

• Experience transitioning into or working with AI Ops, MLOps, or LLMOps

  .

• Hands-on experience with Kubernetes, CI/CD, containers, and cloud environments

  .

• Experience deploying and operating AI/ML models in production.

• Familiarity with GPU-based inference and AI/ML workloads

  .

• Understanding of model monitoring, versioning, deployment, and rollback.

• Familiarity with LLMs, RAG, agentic workflows, or other production AI applications

  .

• Strong automation and troubleshooting skills.