Job Title

Job Description- Design build and maintain scalable data science pipelines for model training evaluation and deployment - Collaborate with data scientists ML engineers and product teams to translate business problems into datadriven solutions - Implement and optimize machine learning models for production environments - Ensure data quality consistency and availability across the pipeline - Automate data ingestion transformation and feature engineering workflows - Monitor model performance and retrain pipelines as needed to maintain accuracy - Contribute to MLOps practices including CICD model versioning and governance.Primary Skills Mandatory- Programming Python Pandas NumPy Scikitlearn PySpark SQL - Data Engineering Airflow Spark Databricks Delta Lake - MLOps MLflow DVC Docker Kubernetes CICD pipelines - Cloud Platforms Azure Data Factory AWS Glue GCP Dataflow - Data Stores Snowflake PostgreSQL MongoDB ChromaDB - Model Deployment FastAPI Flask RESTful APIs - Monitoring Logging Prometheus Grafana ELKEFK stack - Security Compliance IAM Key Vault encryption GDPRSOC2