10+ years of experience shipping AI / ML models and solutions
3+ years of proven experience in managing and leading AI / ML & engineering teams
Excellent collaboration and communication skills to work effectively with cross-functional teams
Strong problem-solving abilities and a strategic mindset to drive innovation and achieve business goals
Experience with AI product integration and deployment in real-world scenarios
Familiarity with Microsoft technologies and platforms like Azure AI Studio, Copilot Studio etc.
Advanced degree (Ph.D. or equivalent) in Computer Science, Engineering, or a related field is preferred.
Responsibilities
Lead and manage a team of Data Scientists driving the development and implementation of cutting-edge AI / ML technologies.
Works with business leaders, engineering leaders, researchers and other data scientists to formulate data-driven answers to hard business and decision-making problems, applying a wide variety of data and techniques to help drive the engineering investments at a strategic and tactical level.
Implement architectural changes and influence the roadmap of relevant software and platform components to enable AI solutions and product integration for MCAPS businesses.
Identifies data sources, integrates multiple sources or types of data, and develops expertise with multiple data sources to tell a story and to compensate for missing data, identify new patterns and business opportunities, and communicate visually and verbally with clear and compelling data-driven stories.
Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations.
Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results.
Mentor and guide team members to foster a culture of innovation, collaboration, and continuous learning.