Applied AI Lead-Vice President

Job Responsibilities

• Develop state-of-the art machine learning models to solve real-world problems and apply them to complex business critical problems technology and infrastructure domains
• Collaborate with partner teams in strategy, governance, controls, and engineering to deploy solutions into production
• Bridge advanced AI research with robust engineering to build innovative, production-ready solutions.

• PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 2 years experience Or Masters with 5 years of industry or research experience in the field.
• Hands‑on experience and solid understanding of machine learning, LLMs fine‑tuning including PEFT, and agentic design
• Experience with advanced agentic workflow orchestration, including multi‑agent coordination, stateful task management, and integration with enterprise event‑driven architectures.
• Extensive experience with machine learning and deep learning toolkits (e.g.: PyTorch, Transformers, Num Py, Scikit‑Learn, Pandas)
• Extensive experience with multi‑modal large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. Lang Chain, Lang Graph, vector databases, opensource models, RAG, agentic systems & workflows, LLM fine‑tuning)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
• Curious, hardworking, and detail‑oriented, and motivated by complex analytical problems
• Ability to work both independently and in highly collaborative team environments

• Experience with developing and deploying machine learning models for enterprise‑scale meta data management, data governance, data quality on cloud data lakes, cyber threat detection
• Experience with AWS deployment
• Ability to develop and debug production‑quality code and leverage AI pair programming
• Strong background in Mathematics and Statistics

Jersey City,NJ $ - $ / year