Description

You will design, develop, and deploy machine learning models and manage end-to-end ML pipelines.

Responsibilities

• Build scalable, governed data solutions using the Databricks Lakehouse architecture.
• Configure and optimize Databricks Genie to enable natural language-driven self-service analytics.
• Collaborate with data engineering teams to optimize Spark jobs and ensure reliable data ingestion.
• Create semantic layers and curated datasets for AI/BI workloads and natural language querying.
• Translate business stakeholder needs into actionable insights and communicate complex results.

Required Skills

• 4+ years of experience in data science, advanced analytics, or machine learning.
• 10+ years of total professional experience.
• Hands-on expertise with Databricks, Apache Spark, and Lakehouse architecture.
• Deep knowledge of Delta Lake and Unity Catalog.
• Proficiency in Python.
• Proven experience building and deploying production-ready ML models using MLflow.
• Experience working within AWS environments.
• Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.

Key Skills

Education

Any Graduate