Applied ML and Generative AI Lead - Vice President

What you'll do

• Design, develop, deploy, and operate ML, LLM, and GenAI solutions; own their reliability and operability in production.
• Build MLOps capabilities, including automated deployment, monitoring, and model lifecycle pipelines, and optimize generative models for NLP tasks.
• Set engineering direction, mentor engineers, collaborate across teams, and communicate AI capabilities and results to technical and non-technical audiences.

What they ask for

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in applied AI/ML engineering, including developing and deploying business-critical machine learning models in production.
• Proficiency with Python and experience with machine learning frameworks, libraries, and APIs such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
• Experience with cloud platforms, Docker, Kubernetes, and microservices; knowledge of machine learning fundamentals and generative model architectures.

Nice to have

• Familiarity with the financial services industries.
• Expertise in Retrieval-Augmented Generation (RAG) pipelines and hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, or Graph-of-Thoughts prompting strategies.

Pay

USD 171,000.00-$260,000.00 base salary

Tools

Python, OpenAI API, TensorFlow, PyTorch, Scikit-learn, AWS, Azure, Google Cloud Platform

AI focus

Develops and operates production ML/LLM/GenAI services, fine-tunes and evaluates generative models for NLP, and builds model monitoring and MLOps capabilities.