Highlights
The ideal candidate will have expertise in Data Engineering, Machine Learning, Generative AI, and cloud technologies, with hands-on experience building enterprise-grade AI applications and data platforms. We are seeking a highly skilled Senior Databricks AI Engineer to design, develop, and deploy scalable data and AI solutions using the Databricks Lakehouse Platform.
Numbers & Facts
| Location | Atlanta, GA, GA |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
Senior Databricks AI Engineer
Atlanta, GA
Location: See Below
Duration: 6 months
Role: Senior Databricks AI Engineer
Position Summary
We are seeking a highly skilled Senior Databricks AI Engineer to design, develop, and deploy scalable data and AI solutions using the Databricks Lakehouse Platform. The ideal candidate will have expertise in Data Engineering, Machine Learning, Generative AI, and cloud technologies, with hands-on experience building enterprise-grade AI applications and data platforms.
Key Responsibilities
Data Engineering
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.
AI & Machine Learning
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.
Generative AI
Design and develop GenAI applications using:
o Large Language Models (LLMs)
o Retrieval Augmented Generation (RAG)
o Vector Databases
o AI Agents and Multi-Agent Frameworks
Role Descriptions: Design and develop scalable data pipelines using Databricks. Implement machine learning models and MLOps practices. Optimize workflows for performance and cost efficiency. Collaborate with stakeholders to deliver AI-driven solutions. Develop generative AI applications and integrate various AI technologies.
Essential Skills: Experience in healthcare or banking domains is beneficial. Familiarity with AI governance and agentic AI is a plus. Knowledge of MLOps practices is advantageous. Understanding of data modernization programs is helpful. Certification in Databricks or machine learning is preferred.Strong expertise in Databricks and data engineering is essential. Proficiency in machine learning and AI model deployment is critical. Experience with cloud platforms like Azure or AWS is necessary. Familiarity with data pipeline design and optimization is required. Knowledge of generative AI technologies is a must.
Desirable Skills:
Keyword:
Skills: Digital : Machine Learning~Digital : Cloud Foundry~Digital : Databricks~Digital : PySpark~Generative AI
Experience Required: 4-6
Atlanta, GA
Location: See Below
Duration: 6 months
Role: Senior Databricks AI Engineer
Position Summary
We are seeking a highly skilled Senior Databricks AI Engineer to design, develop, and deploy scalable data and AI solutions using the Databricks Lakehouse Platform. The ideal candidate will have expertise in Data Engineering, Machine Learning, Generative AI, and cloud technologies, with hands-on experience building enterprise-grade AI applications and data platforms.
Key Responsibilities
Data Engineering
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.
AI & Machine Learning
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.
Generative AI
Design and develop GenAI applications using:
o Large Language Models (LLMs)
o Retrieval Augmented Generation (RAG)
o Vector Databases
o AI Agents and Multi-Agent Frameworks
Role Descriptions: Design and develop scalable data pipelines using Databricks. Implement machine learning models and MLOps practices. Optimize workflows for performance and cost efficiency. Collaborate with stakeholders to deliver AI-driven solutions. Develop generative AI applications and integrate various AI technologies.
Essential Skills: Experience in healthcare or banking domains is beneficial. Familiarity with AI governance and agentic AI is a plus. Knowledge of MLOps practices is advantageous. Understanding of data modernization programs is helpful. Certification in Databricks or machine learning is preferred.Strong expertise in Databricks and data engineering is essential. Proficiency in machine learning and AI model deployment is critical. Experience with cloud platforms like Azure or AWS is necessary. Familiarity with data pipeline design and optimization is required. Knowledge of generative AI technologies is a must.
Desirable Skills:
Keyword:
Skills: Digital : Machine Learning~Digital : Cloud Foundry~Digital : Databricks~Digital : PySpark~Generative AI
Experience Required: 4-6
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
