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Senior MLOPS Engineer

8 years

0 Lacs

India

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

support deployment automation monitoring learning devops azure aws gcp ml design model automate data tensorflow pytorch reliability efficiency linux docker kubernetes git gitlab programming python scripting tuning management containerization collaboration

Work Mode

Remote

Job Type

Contractual

Job Description

Job Title:

Experience Required:

Location:

Job Summary

We are seeking experienced MLOps Engineers to join our team and support the deployment, automation, and monitoring of machine learning models and infrastructure. Ideal candidates will have a strong background in DevOps principles, cloud services (Azure/AWS/GCP), and hands-on experience in deploying and maintaining ML pipelines at scale.

Key Responsibilities

  • Design, implement, and manage ML model deployment pipelines.
  • Automate CI/CD workflows for machine learning and data science projects.
  • Deploy and monitor TensorFlow and PyTorch models using Azure ML or similar platforms.
  • Set up infrastructure monitoring and alerting systems using tools like Prometheus and Grafana.
  • Work closely with data scientists, ML engineers, and DevOps teams to ensure scalable and reliable ML solutions.
  • Optimize performance, reliability, and efficiency of ML systems and workflows.
  • Maintain secure and scalable Linux-based environments.

Key Skills Required

  • Cloud Platforms:

    Azure ML (preferred), or AWS/GCP

  • Infrastructure & Tools:

    Docker, Kubernetes (preferred), Git, GitLab CI/CD

  • Monitoring:

    Prometheus, Grafana, or similar tools

  • Programming/Scripting:

    Python, Bash

  • Systems:

    Linux administration and automation

Ideal Candidate Profile

  • 6+ years of experience in MLOps or backend infrastructure roles.
  • Proven experience deploying ML models using CI/CD tools (e.g., GitLab, Jenkins).
  • Strong scripting and automation skills for performance tuning and monitoring.
  • Practical knowledge in model lifecycle management, containerization, and microservices.
  • Excellent problem-solving and collaboration skills.


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