Description:
We are looking for an MLOps Engineer with 3–5 years of experience building and operating production ML systems, with meaningful exposure to the pharma or healthcare domain. You will be responsible for taking data science outputs and making them robust, scalable, and maintainable in production, covering the full lifecycle from pipeline orchestration and model deployment to monitoring, retraining, and compliance across client engagements.

You will work closely with data scientists, data engineers, and business stakeholders to bridge the gap between experimental models and production-grade systems. Experience navigating regulated or DG-sensitive environments is a solid plus.

Key Responsibilities:
- Own and operate end-to-end ML pipelines from feature engineering and training runs through deployment, monitoring, and scheduled retraining, on cloud infrastructure (AWS, Azure, or GCP).
- Implement and maintain CI/CD pipelines for ML workflows, ensuring reproducibility, version control of models and data, and reliable rollback capabilities.




- Build and orchestrate ML and data pipelines using tools like Airflow, Prefect, or similar; manage dependencies, scheduling, and failure handling.
- Build, manage, and govern ML workflows on Databricks, including Jobs, Delta Live Tables, and Unity Catalog, as the primary platform for data and ML pipeline execution.
- Manage the full model lifecycle using MLflow on Databricks: experiment tracking, model registry, versioning, stage transitions, and lineage documentation.
- Design and deploy ML pipelines on Kubernetes using Kubeflow Pipelines for clients who operate outside Databricks environments, including pipeline authoring, component containerization, and run management.
- Leverage pre-trained models, foundation models (LLMs), and cloud AI services instead of building models from scratch where appropriate; implement RAG pipelines, prompt engineering workflows, and evaluation frameworks.
- Containerize and deploy models

📌 Data Science II (Bengaluru)
🏢 Procdna Analytics
📍 Bengaluru