Applied AI Lead-Vice President

Job Responsibilities

Develop state-of-the art machine learning models to solve real-world problems and apply it 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.

Required Qualifications, Capabilities And Skills

• 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
  Extensive experience with machine learning and deep learning toolkits (e.g.: PyTorch, Transformers, NumPy, Scikit-Learn, Pandas)
  Extensive experience with multi-modal large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, 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
  Extensive 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

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.