ML Engineer

This role is ML Engineering with hands-on software engineering skills using Python, PySpark, and 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 API development (FastAPI) 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.