Applied AI/ML Data Science Lead VP
Core
Lead VP of Applied AI/ML Data Science, developing GenAI and LLM solutions to address business problems like semantic search, question answering, and document analysis.
Role type
VP-level Applied AI/ML Data Science Lead
Builds
Production GenAI and LLM applications for corporate technology functions
Domain
Corporate Technology, Legal, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
LLM project expertise, supervised and unsupervised learning, model deployment, Python, SQL, TensorFlow, PyTorch, Scikit-learn, OpenAI API, statistics, machine learning fundamentals, Transformer-based architectures, NLP optimization
Preferred skills
Agentic refinement, self-improving AI applications, RAG, Spark, AWS, Java, R
Technologies
AI API, AWS, Java, LLM, Machine Learning, Model Training, PyTorch, Python, SQL, Spark, TensorFlow, Cloud, Agentic AI, RAG
Responsibilities
Collaborate with product managers and stakeholders to define requirements and prioritize use cases; develop GenAI and LLM solutions; implement optimization approaches to fine-tune generative models; carry out full model development workflow including data wrangling, training, testing, and selection; generate structured insights from data analysis; communicate AI capabilities to technical and non-technical audiences; stay current with latest AI research and apply advanced techniques.
Seniority
VP, hands-on IC with strategic leadership