3 years
0 Lacs
Posted:1 month ago|
Platform:
On-site
Full Time
· 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.
· 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.
CrossAsyst Infotech Private Limited
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