Have a long track record of experience delivering high-value, high-impact, cross-team projects.
Wish to stay hands-on in all technical aspects while leading by example through collaborations with cross-functional and internal stakeholders.
Have a history of developing solutions to problems that have had an outsized impact on a large organization’s business goals.
Provide strategic direction for major projects.
Regularly mentor and teach engineers in their areas of expertise.
Demonstrate pragmatic decision-making and problem-solving abilities.
Expert understanding of a range of ML techniques, areas, and tools.
Expert in crafting the right architecture for a variety of ML problems from business requirements, often identifying where ML solution can be effective in adjacent surface areas.
Your analysis expands beyond offline and online metrics. They analyze privacy, bias, security and maintainability concerns of models developed by their team.
Exhibit an enthusiasm for building reliable, scalable systems.
Can guide teams beyond the status quo.
Deep expertise in the machine learning concepts behind Predictive AI.