We are seeking a highly skilled Senior Data Scientist. 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)