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Ml Ops
Posted on Sept. 8, 2025
- Mh, India
- 0 - 0 USD (yearly)
- Full Time
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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: ₹1,800,000.00 - ₹2,000,000.00 per year
Experience:
- MLops: 6 years (Preferred)
Work Location: In person
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