Job Description

Role:

Data Scientist - MLOps

Experience:

3+ years

Location:

Bangalore (work from office)

About the Role:

We are looking for a Data Scientist - MLOps to build, deploy, and scale ML models across our business functions. You will ensure that pricing, analytics, and other data science solutions run seamlessly in production with automation, monitoring, and performance optimization.

Key Responsibilities:

Design and manage end-to-end ML pipelines for deployment and monitoring. Automate model training, retraining, and deployment workflows. Implement CI/CD for ML models to ensure reliability and scalability. Build real-time dashboards and APIs for model outputs and business consumption. Optimize cloud resources (Azure - Databricks, ADF, Azure ML) for performance and cost efficiency. End-to-end model lifecycle management from development to deployment. Collaborate with data scientists, engineers, and business teams to operationalize ML solutions.

Required Skills:

3+ years of experience in MLOps / Data Science deployment. Strong skills in Python, PySpark, SQL and automation frameworks. Hands-on experience with Azure ML, Databricks, Azure Data Factory. Knowledge of containerization (Docker, Kubernetes) and model serving frameworks (MLflow, FastAPI, Flask). Retail or e-commerce industry experience preferred. * Experience in end-to-end model development and deployment.