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Sr. Ml Ops Platform Engineer

Sr. Ml Ops Platform Engineer

Amicon Hub ServicesRepublic Of India, IN
18 days ago
Job description

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 systems
  • Prior experience in AI-first companies or open-source ML contributions is a plus
  • Required 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 CodePipeline
  • Experience 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

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