Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Nagarro
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
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Source: Nagarro careers