Sr. Databricks AI Engineer/Data Scientist Location: Louisville, KY (Permanent remote work accepted from anywhere in US; however, we’d prefer EST and CST-based resources) Duratuin: 12 + months Client: Healthcare Pay rate: Market/DOE (For 7+ years experienced candidates) Job Summary: We are seeking a highly skilled Senior Databricks AI Engineer/Data Scientist to join our advanced analytics team in Cyber Security. The successful candidate will drive end-to-end AI and data science solutions using modern cloud platforms and state-of-the-art machine learning techniques. This role will focus on scalable AI development, machine learning, and computer vision, leveraging Databricks and associated tools to deliver business value. • Key Responsibilities: • Design, build, and optimize AI/ML pipelines on Databricks, including compute management, Unity Catalog integration, and automated workloads. • Develop, deploy, and maintain machine learning models from concept to production, including hyperparameter tuning and performance monitoring. • Integrate and utilize OpenAI APIs to support advanced NLP, LLMs, and generative AI solutions. • Lead computer vision initiatives, including OCR-based automation and document intelligence. • Collaborate with cross-functional teams to translate business objectives into actionable data science solutions. • Ensure data quality, security, and compliance across all analytics workflows. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. • At least 5 years of professional Python programming experience. • Minimum 3 years of hands-on experience with Databricks or similar cloud analytics platforms, including compute orchestration, Unity Catalog, and workload automation. • At least 3 years of experience integrating and developing solutions with OpenAI and LLM APIs. • Minimum 3 years of experience in applied machine learning, including lifecycle management from research to production deployment. • Hands-on expertise with Large Language Models (LLMs) and computer vision, particularly OCR technologies. • Strong experience with version control systems, especially GitHub. • Excellent communication, documentation, and problem-solving skills. Preferred Qualifications: • Experience in data engineering (data pipeline development, ETL, data modeling). • Prior exposure to ServiceNow (cmdb, secops, etc) Initial portfolio of AI projects (Candidate will work on at least 4 of these): • Project 1: Vulnerability Analysis at Scale (GenAI - GPT 4.0 & GPT-4 Mini 0) • Project 2: DGPO Data Quality (Machine Learning - Hyperparameter Tuning) • Project 3: PIRC Automation (GenAI - GPT 4.0 & GPT-4 Mini 0) • Project 4: IAE Email System (GenAI - GPT 4.0 & GPT-4 Mini 0) • Project 5: Dynamic Data Classification/Masking (presidio) • Project 6: Dynamic Meta Generation - AI Assistant across Databricks Unity Catalog • Project 7: Contract Technology Requirement Analysis (GenAI - GPT 4.0 & GPT-4 Mini 0) • Project 8: Predictive Intelligence (Portable codebase for predicting forecasting for IT Ops - (Neural Prophet/Prophet or (SARIMA))