Director – GenAI Technology

Responsibilities

• leads machine learning projects with diverse scope and complex business and technical challenges
• coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs
• oversees end-to-end process to push code from research to production
• delivers results with clear and measurable impact to the business
• consults with senior business and technology partners to identify priorities and establish analytic goals
• executes on direction for data identification, collection and qualification activities
• presents reports and findings to senior technical and non-technical audiences
• enjoys collaboration and revels in working as part of a team to solve deep applied problems

• PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience
• Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding
• Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools
• Experience taking an application from research to production and realizing measurable value from it to the team or firm
• Ability to work on and drive progress for multiple projects at the same time
• Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
• Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
• Excellent planning, project management, leadership, and research skills
• Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
• Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges