Job Description
| Job Description: | Please strictly adhere to the following resume naming convention: ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_CandidateBeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413 MSP Owner: William Bristol Location: See Below Duration: 6 months Position Title: Databricks AI/ML Engineer Location: Atlanta Experience: 6+ Years Domain Preference: Healthcare (Preferred) Job Summary We are seeking a highly skilled Databricks AI/ML Engineer to design, develop, and deploy scalable machine learning and Generative AI solutions on the Databricks Lakehouse Platform. The ideal candidate will have expertise in Databricks, PySpark, Machine Learning, MLOps, and cloud technologies, with experience building end-to-end AI/ML pipelines and deploying production-grade models. Key Responsibilities · Design and develop data engineering and machine learning solutions using Databricks. · Build and optimize scalable ETL/ELT pipelines using PySpark and Delta Lake. · Develop, train, evaluate, and deploy machine learning models on Databricks. · Implement MLOps practices using MLflow, Databricks Model Registry, and CI/CD pipelines. · Build Generative AI solutions using LLMs, RAG architectures, vector databases, and prompt engineering. · Integrate AI/ML solutions with cloud platforms such as AWS, Azure, or GCP. · Collaborate with business stakeholders, data scientists, and architects to translate business requirements into technical solutions. · Monitor model performance, data quality, and pipeline reliability in production environments. · Ensure security, governance, and compliance standards are followed across data and AI platforms. Required Skills · Strong experience with Databricks Lakehouse Platform · Expertise in PySpark, Python, SQL · Hands-on experience with Delta Lake, Unity Catalog · Experience building ML models using Scikit-Learn, TensorFlow, PyTorch, XGBoost · Strong knowledge of MLflow, MLOps, CI/CD · Experience with Generative AI, LLMs, RAG, Vector Databases · Knowledge of Azure Databricks, AWS Databricks, or GCP Databricks · Experience with Apache Spark, Data Engineering, Data Pipelines · Familiarity with REST APIs and microservices deployment Preferred Skills · Experience with OpenAI, Azure OpenAI, LangChain, LlamaIndex · Knowledge of MCP (Model Context Protocol) and Agentic AI frameworks · Experience with Snowflake, Kafka, Airflow · Healthcare or insurance domain experience · Databricks Certified Data Engineer or Machine Learning Professional certification Role Descriptions: Senior AI/ML Engineer Essential Skills: DataBricks with AI/ML Engineer Desirable Skills: Keyword: Skills: Agile Way of Working~Digital : Mongo DB~Digital : Azure Machine Learning (ML)~Digital : Databricks~AI Agents Experience Required: 10 & Above |
|---|
Numbers & Facts
| Location | Aurora, IL |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
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.
Skills
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.
Free resume templatesFree resume builder
Improve your existing resume or start from scratch and create a standout, ATS-friendly resume. Add job-specific content, download and apply.
Free resume builder