Senior Databricks AI Engineer

Tasks

• Design and develop scalable data pipelines using Databricks, PySpark, Delta Lake, and Spark SQL.
• Build ELT/ETL solutions for structured and unstructured data.
• Implement Medallion Architecture (Bronze, Silver, Gold layers).
• Optimize Databricks jobs, clusters, and workflows for performance and cost efficiency.
• Manage data ingestion from multiple cloud and on-premise sources.
• Develop and deploy Machine Learning models using Databricks ML and Python.
• Implement MLOps practices for model training, deployment, monitoring, and governance.
• Build predictive analytics solutions and recommendation engines.
• Create feature stores and reusable ML pipelines.
• Design and develop GenAI applications using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Vector Databases, and AI Agents and Multi-Agent Frameworks.

Requirements

• Expertise in Data Engineering, Machine Learning, Generative AI, and cloud technologies.
• Hands-on experience building enterprise-grade AI applications and data platforms.

Schedule

• ONSITE

How to apply

• Send resumes.

Location

• Atlanta, GA