Senior Databricks AI Engineer/Data Scientist

Senior Databricks AI Engineer/Data Scientist 07/09/2025 Contract Active Job Description: Job Summary We are seeking a highly skilled Senior Databricks AI Engineer / Data Scientist to join our advanced analytics team focused on Cyber Security. This role involves designing and deploying scalable AI/ML solutions using Databricks, OpenAI APIs, and modern cloud platforms. The ideal candidate will have deep expertise in machine learning, computer vision, and generative AI, and will contribute to high-impact projects across the organization. Key Responsibilities Design, build, and optimize AI/ML pipelines on Databricks, including compute orchestration and Unity Catalog integration. Develop, deploy, and maintain machine learning models, including hyperparameter tuning and performance monitoring. Integrate OpenAI APIs to support 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 analytics workflows. Contribute to scalable system design using Python or Java. Analyze large datasets and develop visualizations and reports to support continuous improvement. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 7+ years of experience in AI/ML engineering or data science. Minimum 5 years of professional Python programming experience. At least 3 years of hands-on experience with Databricks, including compute orchestration and workload automation. Minimum 3 years of experience integrating and developing solutions with OpenAI and LLM APIs. At least 3 years of experience in applied machine learning, from research to production deployment. Hands-on expertise with LLMs and computer vision, particularly OCR technologies. Strong experience with GitHub and version control systems. Excellent communication, documentation, and problem-solving skills. Preferred Qualifications Experience in data engineering, including ETL, pipeline development, and data modeling. Prior exposure to ServiceNow (e.g., CMDB, SecOps). Candidates will contribute to at least four of the following initiatives: Vulnerability Analysis at Scale – GenAI using GPT-4.0 & GPT-4 Mini. DGPO Data Quality – Machine Learning with hyperparameter tuning. PIRC Automation – GenAI using GPT-4.0 & GPT-4 Mini. IAE Email System – GenAI using GPT-4.0 & GPT-4 Mini. Dynamic Data Classification/Masking – Using Presidio. Dynamic Meta Generation – AI Assistant across Databricks Unity Catalog. Contract Technology Requirement Analysis – GenAI using GPT-4.0 & GPT-4 Mini. Predictive Intelligence – Forecasting for IT Ops using Neural Prophet, Prophet, or SARIMA. Email ID * This field is required Please enter valid emailId. Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name. #J-18808-Ljbffr Compunnel