ML Engineer

22 hours ago


Bengaluru, India Devsartech Full time

Role & 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.

Preferred candidate profile

  • 3+ years of experience in MLOps / Data Science and model 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 required.
  • Experience in end-to-end model development and deployment.

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