Manager, Data Science (GenAI Solutions & ML Engineering)

Lead a team of ML engineers focused on building, deploying, and scaling production AI and Generative AI solutions for transportation and operations. Drive organization-wide GenAI strategy and partner with data science to transition models to robust, monitored production systems.

• Lead a team of ML engineers focused on building, deploying, and scaling production AI and Generative AI solutions that solve complex transportation and operational challenges
• Partner with Data Science teams to transition models from experimentation into robust, scalable, and monitored production systems
• Design and implement Generative AI applications, including RAG-enabled knowledge assistants and internal copilots
• Define and execute the company's MLOps strategy, standardizing CI/CD, model lifecycle management, and governance
• Mentor engineers and data scientists on production-ready AI development and best practices

Proficient in Python and PyTorch; experience with LLMs, RAG, vector databases, and model monitoring. Strong cloud experience (AWS/Azure/GCP), containerization with Docker and Kubernetes, and end-to-end ML lifecycle.

The ideal candidate is a senior ML/GenAI leader with 5+ years in ML/AI, 3+ years leading teams, hands-on GenAI, LLMs, and MLOps, and a track record of deploying AI at scale in the cloud.