We’re Hiring : Senior MLOps / DevOps Engineer (for one of our esteemed clients)
Location : PAN India (Gurugram, Noida, Bangalore, Chennai, Hyderabad, Pune)
Experience : 7+ Years
Domain : AI / ML Infrastructure & Automation
About the Company
We’re looking for a passionate and experienced Senior MLOps / DevOps Engineer to join our client’s growing team.
About the Role
You’ll be responsible for architecting, automating, and optimizing large-scale Data & ML pipelines on AWS, while ensuring performance, scalability, and reliability across the infrastructure.
Responsibilities
- Build and maintain systems using DevOps & LLM Ops tools (Kubernetes, Docker, Terraform, AWS, Python).
- Architect and implement AWS-based scalable infrastructure (Lambda, EC2, Docker, Networking, Monitoring, etc.).
- Design and automate Data & ML pipelines with CI / CD and deployment best practices.
- Implement observability solutions using Prometheus, Loki, Grafana, or Datadog.
- Conduct POCs for new solutions and continuously improve existing architectures.
- Collaborate with Product, Data, and Executive teams to address infrastructure and data challenges.
- Drive code reviews and mentor junior engineers.
Qualifications
🎓 Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field.5–7+ years of experience in AI / ML development or production-level MLOps systemsPrior experience in AI-first companies or open-source ML contributions is a plusRequired Skills
7+ years of experience in Software / DevOps Engineering with strong Python, SQL, and Pandas skill.Hands-on experience with AWS (Lambda, EC2, EMR, S3, Glue, Athena, RDS, IAM, Batch, Sagemaker, Airflow)Expertise in Terraform, Kubernetes, Docker, GitHub Actions, Jenkins, or CodePipelineExperience in CI / CD pipelines and working with API.Familiarity with Relational & NoSQL databases (Snowflake preferred)Exposure to Kubeflow or MLflow is an added advantage.Note : Looking for Immediate Joiners only