ML Engineer

This role is ML Engineering with hands-on Software Engineering skills using Python and Pyspark, Databricks. Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL, Redis, Azure cloud. Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly changing dimensions / temporal mappings. Experience building production-grade ML pipelines, and data pipelines. Solid Python development skills with APIs development (FastAPIs) and familiarity with ML workflows. Delta Lake, MLflow, and workflow orchestration experience. Agentic development and GenAI experience will be a big plus Familiarity with ELK (Elastic Kibana) Please note that DE with GenAI knowledge will not be shortlisted; the candidate must have classical ML/DS exposure with production pipeline design and development experience.