ML Ops

2 days ago

Pune, Maharashtra, India Princeton IT America Full time ₹ 1,80,000 - ₹ 20,00,000 per year

Job Title: Senior MLOps Engineer

Experience: 5.5+ Years

Location: Pune

Employment Type: Full-Time

Looking for immediate joiners

Role Overview:

We are looking for an experienced MLOps Engineer with strong expertise in building, deploying, and maintaining machine learning models at scale. The ideal candidate will have hands-on experience in MLOps practices, automation, CI/CD pipelines, cloud platforms, and monitoring ML systems in production.

Key Responsibilities:

  • Design, build, and manage scalable ML pipelines for training, deployment, and monitoring.
  • Collaborate with data scientists and engineers to operationalize ML models into production.
  • Implement CI/CD workflows for ML lifecycle management.
  • Optimize ML models for performance, scalability, and cost efficiency.
  • Develop and maintain model monitoring, logging, and alerting systems.
  • Work on cloud-native platforms (AWS, GCP, Azure) for ML deployment and orchestration.
  • Ensure data security, compliance, and governance within ML operations.
  • Research and integrate MLOps best practices and tools into existing workflows.

Required Skills & Experience:

  • 5.5+ years of experience in Machine Learning Engineering / MLOps / Data Engineering.
  • Strong experience with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on expertise in CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI/CD, etc.).
  • Proficiency in containerization and orchestration (Docker, Kubernetes, Kubeflow, MLflow, Airflow).
  • Solid knowledge of cloud services (AWS SageMaker, GCP Vertex AI, Azure ML).
  • Experience with monitoring tools (Prometheus, Grafana, ELK Stack).
  • Strong understanding of version control (Git), model registry, and artifact management.
  • Knowledge of data pipelines and ETL processes.
  • Excellent problem-solving, debugging, and communication skills.

Good to Have:

  • Exposure to feature stores and data cataloging tools.
  • Experience with A/B testing frameworks and ML model performance evaluation.
  • Knowledge of MLOps security best practices.
  • Certification in Cloud / ML Engineering.

Job Type: Full-time

Pay: ₹1,800, ₹2,000,000.00 per year

Experience:

  • MLops: 6 years (Preferred)

Work Location: In person

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