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Posted:1 day ago| Platform: Indeed logo

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Work Mode

Remote

Job Type

Full Time

Job Description

MLOps Engineer

Location: Remote | Hybrid: Pune/Bangalore/Hyderabad (1–2 days/week)
Experience: 4–8 Years

Job Summary:

Join our engineering team as an MLOps Engineer, responsible for building scalable ML infrastructure and deployment pipelines using Docker, Azure ML, CI/CD, and Kubernetes.

Key Skills:

  • Docker, CI/CD, Azure ML (or AWS/GCP)
  • Grafana, Prometheus, Linux, Git, Python
  • TensorFlow/PyTorch deployment
  • Monitoring and alerting setup

Ideal Profile:

  • 6+ years in MLOps and backend infrastructure
  • Strong experience with Azure ML pipelines and GitLab CI/CD
  • Performance tuning and infrastructure scripting expertise

Apply Now!

Job Types: Full-time, Permanent

Pay: ₹1,800,000.00 - ₹2,000,000.00 per year

Benefits:

  • Health insurance
  • Paid sick time
  • Paid time off
  • Provident Fund

Schedule:

  • Day shift
  • Monday to Friday

Ability to commute/relocate:

  • Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

  • What is your current CTC?
  • What is your Expected CTC?
  • What is your official notice period/last working day?

Experience:

  • MLOps: 6 years (Required)

Work Location: In person

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