Senior Data

1 week ago

Bengaluru, India Zintlr Full time

Location: In-officeYears of Experience: 3.5+ yearsWhat You'll DoArchitect and optimize batch + streaming data pipelinesBuild ML-ready datasets & feature pipelinesDeploy & monitor ML models on AWS SageMaker / EC2 / KubernetesImplement full MLOps lifecycle (MLflow, CI/CD, retraining)Ensure data quality, scalability, reliabilityMentor juniors & enforce code quality standardsMust Have Skills & TechPython (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, XGBoost/LightGBM)SQL (advanced queries + optimization)AWS (S3, EC2, Lambda, RDS, SageMaker)PySpark, Kafka, MongoDB, Redis, Dask, DjangoDocker + CI/CD, MLflow / SageMaker Model RegistryProduction-level deployments (100M+ data points handled)Good to HaveAirflow / Prefect / Dagster (orchestration)Terraform / CloudFormation (infra as code)Great Expectations / Soda (data observability)Feature Stores, Vector DatabasesKubernetes, dbt, Golang

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