AI / ML Engineer

We are looking for an experienced Senior MLOps / ML / AI Ops Engineer to design, build, and operate scalable ML and Generative AI solutions on AWS. You will lead end-to-end delivery—from architecture to production—and help shape best practices in security, automation, and cost-efficient AI deployment.Key Responsibilities

• Architect secure, scalable ML and GenAI systems using AWS services (SageMaker, EKS/Fargate, Lambda, Step Functions).
• Build CI/CD pipelines for ML models, agents, and GenAI applications.
• Deploy LLMs and orchestrate multi-agent systems (LangChain, LangGraph, or custom).
• Create and maintain data pipelines (Airflow, dbt, Step Functions).
• Implement monitoring, observability, and automated retraining (CloudWatch, Prometheus, Grafana, MLflow).
• Embed strong security, compliance, and guardrail practices across all ML workflows.
• Mentor junior engineers and promote engineering best practices.

Key Requirements Essential

• 3+ years experience in MLOps / ML Engineering / AIOps.
• Strong expertise in AWS (SageMaker, EKS/Fargate, Lambda, Step Functions, S3).
• Proficient with Docker, Kubernetes, and IaC (Terraform or AWS CDK).
• Experience with MLflow, CI/CD tools, and automated testing.
• Hands-on with LLM deployment and multi-agent systems.
• Proven experience building data pipelines and production ML workflows.
• Strong grounding in software engineering best practices and cost optimisation.

Nice to Have

• Consulting or pre-sales background.
• Experience with Databricks or MCP (multi-agent protocol).
• AWS certifications (ML Specialty, AI Practitioner).