Senior Databricks AI Engineer​/Data Scientist

07/09/2025

Contract

Active

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.

• 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 Git Hub and version control systems.
• Excellent communication, documentation, and problem-solving skills.

• Experience in data engineering, including ETL, pipeline development, and data modeling.
• Prior exposure to Service Now (e.g., CMDB, Sec Ops).
• 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.

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