Job Description
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