Machine Learning Architect

Job Overview

We are seeking a highly skilled and experienced AI / ML, Generative AI Lead to join our prestigious insurance company. The successful candidate will lead a dynamic team of AI / ML professionals, driving the development and implementation of AI and machine learning solutions tailored for the insurance domain. This role is central to our strategy of enhancing operational efficiency, improving customer experience, and pioneering innovative insurance products.

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.

Innovation & POC Development

Business Alignment & Outcome Metrics

POC Adoption & Change Management

Technical Leadership & Team Oversight

Strategic Research & Future Tech Exploration

Qualifications

experience with AI / ML frameworks such as TensorFlow, PyTorch, and scikit-learn.