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Senior Data & ML Engineer - 3.5 Yrs

Senior Data & ML Engineer - 3.5 Yrs

ZintlrBengaluru, Karnataka, India
7 days ago
Job description

Location : In-office

Years of Experience : 3.5+ years

What You'll Do

  • Architect and optimize batch + streaming data pipelines
  • Build ML-ready datasets & feature pipelines
  • Deploy & monitor ML models on AWS SageMaker / EC2 / Kubernetes
  • Implement full MLOps lifecycle (MLflow, CI / CD, retraining)
  • Ensure data quality, scalability, reliability
  • Mentor juniors & enforce code quality standards

Must Have Skills & Tech

  • Python (Pandas, NumPy, scikit-learn, PyTorch / TensorFlow, XGBoost / LightGBM)
  • SQL (advanced queries + optimization)
  • AWS (S3, EC2, Lambda, RDS, SageMaker)
  • PySpark, Kafka, MongoDB, Redis, Dask, Django
  • Docker + CI / CD, MLflow / SageMaker Model Registry
  • Production-level deployments (100M+ data points handled)
  • Good to Have

  • Airflow / Prefect / Dagster (orchestration)
  • Terraform / CloudFormation (infra as code)
  • Great Expectations / Soda (data observability)
  • Feature Stores, Vector Databases
  • Kubernetes, dbt, Golang
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