MLOps Engineer

7 hours ago


Bengaluru, Karnataka, India CareerFit Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Key Responsibilities:

  1. Design, develop, and maintain CI/CD pipelines for ML models.
  2. Collaborate with Data Scientists and Data Engineers to build scalable model deployment architectures.
  3. Automate data processing, model validation, retraining, and monitoring pipelines.
  4. Ensure reliability, security, and scalability of ML infrastructure.
  5. Monitor model performance, detect data drift, and implement retraining strategies.
  6. Integrate ML models with APIs, web services, and production systems.
  7. Manage containerized ML applications using Docker and Kubernetes.
  8. Implement best practices for version control, reproducibility, and automation in ML workflows.

Qualifications:

  1. Bachelors or Master's degree in Computer Science, Engineering, or related field.
  2. 3+ years of experience in MLOps / ML Engineering / DevOps with ML focus.
  3. Proven hands-on expertise in PySpark (must-have) and Data Engineering workflows.
  4. Strong proficiency in Python, Bash, and scripting languages.
  5. Experience with ML platforms (MLflow, Kubeflow, SageMaker, etc.).
  6. Familiarity with cloud platforms (AWS, Azure, GCP).
  7. Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions).
  8. Solid understanding of the ML model lifecycle and deployment challenges.
  9. Strong problem-solving and communication skills.
  10. Experience in MLOPs and MLFlow is required.

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