Data Scientist - Remote

About The Role

We are seeking a highly skilled and hands-on Senior AI/ML Engineer to join our team. This role focuses on designing, developing, and integrating advanced Machine Learning and Generative AI solutions within the Databricks platform. As a key contributor, you will work closely with Data Scientists, Product Teams, and Platform Engineers to deploy AI-driven solutions that enhance Claims Payment Integrity (PI) processes and other enterprise applications.

• Create custom embeddings for domain-specific applications and document/text processing
• Build and support Retrieval-Augmented Generation (RAG) pipelines, including semantic search and vector database integration
• Implement vector databases and manage their performance and scalability
• Develop agentic workflows utilizing LangChain for tools, agents, and memory management
• Integrate AI solutions into enterprise systems, particularly focusing on Claims Payment Integrity processes
• Analyze large datasets to identify trends, patterns, and actionable insights
• Partner with Data Scientists, Product, and Platform teams to deploy and optimize AI models and pipelines
• Experiment with and evaluate emerging ML and Generative AI architectures for continuous improvement
• Optimize AI pipelines for scalability, reliability, and cost efficiency
• Contribute to the design and development of AI-powered enterprise applications
• Mentor and support skill development for engineers and interns in AI/LLM techniques
• Ensure compliance with company policies, procedures, and security standards
• Communicate complex technical concepts effectively to stakeholders and cross-functional teams

Qualifications

• Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field
• Minimum of 5 years of experience as a Data Scientist or AI/ML Engineer
• At least 5 years of end-to-end experience in machine learning model development, including data preparation, feature engineering, training, and evaluation
• Proficiency in Python, Scala, and SQL programming languages
• 3+ years of experience with Databricks and Spark ecosystem
• 2+ years of experience working with Large Language Models (LLMs) and Generative AI (GenAI)
• Hands-on experience creating custom embedding models and building RAG pipelines
• Knowledge of vector databases, semantic search, and AI integration with LangChain for agentic workflows
• Familiarity with Azure cloud services for compute, security, and resource management
• Experience with CI/CD tools such as Git, GitHub Actions, Jenkins, and Terraform
• Excellent communication and collaboration skills, with the ability to partner effectively across teams
• Experience with actuarial, risk modeling, and forecasting is a plus