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.