Key Responsibilities
- Leadership and Team Management : Lead, mentor, and manage a team of AI / ML engineers and data scientists, fostering a collaborative and high-performance culture.
- Strategy Development : Develop and implement AI / ML strategies aligned with the company's business goals and objectives.
- AI / ML Solutions : Design, develop, and deploy AI and machine learning models to solve complex problems in underwriting, claims processing, fraud detection, customer service, and personalized marketing.
- Generative AI : Explore and implement generative AI techniques to create novel solutions for product development, risk assessment, and customer engagement.
- Data Management : Oversee the collection, preprocessing, and analysis of large datasets to ensure data quality and integrity.
- Stakeholder Collaboration : Work closely with cross-functional teams, including product managers, actuaries, and IT departments, to ensure successful integration and adoption of AI / ML solutions.
- Research and Innovation : Stay updated with the latest advancements in AI / ML and generative AI, and drive continuous innovation within the team.
- Compliance and Ethics : Ensure all AI / ML solutions comply with industry regulations and ethical standards.
- Performance Monitoring : Implement monitoring and evaluation frameworks to assess the impact and performance of AI / ML models.
Skills Required
Aws, Gcp, Azure, Java, Python, R Programing