VP, AI/Machine Learning Data Engineering
Core
Lead the design and development of applied AI solutions, providing hands-on technical guidance for machine learning and artificial intelligence products to improve the software development lifecycle.
Role type
VP, Applied AI/ML Data Engineering
Builds
Production-ready AI solutions, copilots, agents, and tools for engineering use cases
Domain
Financial services / Applied AI / MLOps
Deliverable
production ML models
Required skills
Applied AI, LLMs, model fine-tuning, model evaluation, MLOps/LLMOps, software engineering, enterprise software practices, secure and scalable system design
Preferred skills
Securities or financial services sector experience, technical research and prototyping
Technologies
AI Fine-tuning, Machine Learning, MLOps
Responsibilities
Lead design and development of applied AI solutions; conduct technical research, prototyping, and experimentation; partner with stakeholders to define success measures; apply AI to improve the software development lifecycle; mentor engineers and support high-quality delivery
Seniority
VP, hands-on technical lead & strategy