MLOps Engineer | 5 to 10 years | AI-driven analytics and decision sciences company | Bengaluru | Immediate joiners

Note: Looking for immediate joiners / candidates with notice period up to 15 days.

What you need:

• Mandatory skills: Pyspark, MLFlow, MLOps, Model Lifecycle Management Orchestration (CI/CD).
• Strong experience in end-to-end MLOps lifecycle (deployment, monitoring, retraining).
• Hands-on with PySpark, Databricks, and large-scale data processing.
• Experience with CI/CD pipelines and ML deployment frameworks.
• Exposure to Docker and Kubernetes for containerized deployments.
• Familiarity with MLflow / model tracking and cloud platforms (AWS/Azure).

What you would do:

• Design and maintain scalable ML pipelines for training, evaluation and deployment.
• Manage the end-to-end ML lifecycle using MLflow (experiments, registry, versioning).
• Productionise models with data scientists and ensure reliable deployment workflows.
• Build CI/CD pipelines for automated training, testing and release of models.
• Monitor model performance (drift, degradation) and implement retraining strategies.
• Manage cloud infrastructure and containerised workloads (Docker, Kubernetes) for scalable ML systems.