Senior Staff Engineer (DevOps Engineer- AI/ML)

About

Looking for a DevOps/MLOps Engineer to build and manage scalable automated infrastructure for our LLM‑powered GenAI platform. You’ll enable fast iteration and reliable deployment of models and services through robust CI/CD pipelines, container orchestration and ML lifecycle tooling.

Key Responsibilities

• Design and maintain CI/CD pipelines using Jenkins, GitHub Actions or similar.
• Automate infrastructure provisioning using Terraform and manage services with Kubernetes.
• Write and maintain Bash/Python scripts for automation and operational tooling.
• Implement and monitor MLOps workflows using tools like MLflow, Azure ML or similar.
• Support deployment and monitoring of LLM‑based models and APIs in production.

Required Skills

• Hands‑on experience with Jenkins, GitHub Actions or equivalent CI/CD tools.
• Proficiency with Terraform, Kubernetes, Docker and cloud‑native practices.
• Strong scripting skills in Bash and Python.
• Experience with ML model tracking, versioning and deployment using MLflow or similar.
• Familiarity with cloud platforms (e.g. Azure, AWS or GCP).

Nice to Have

• Exposure to LLM/GenAI deployment workflows.
• Experience with model performance monitoring and observability tools (Prometheus, Grafana, etc.).
• Security and cost optimisation best practices for ML infrastructure.

Remote Work

Yes

Employment Type

Full‑time