AI Lead

Role Overview: We are looking for a highly skilled AI Lead with strong hands-on experience in Machine Learning, Data Science, and AI solutions .The candidate should have evolved into a technical leadership role and be capable of leading multiple projects or large-scale AI programs. The role involves driving AI-led transformation across underwriting, claims, customer experience, fraud detection, and risk analytics.

Key Responsibilities:

- Lead the design, development, and deployment of AI/ML solutions for Life Insurance business use cases such as underwriting, claims automation, persistency, and fraud detection

- Manage and deliver multiple AI/ML projects or 12 large-scale programs end-to-end

- Provide technical leadership and mentorship to data scientists, ML engineers, and analysts

- Collaborate with business stakeholders to translate insurance-specific requirements into data-driven solutions

- Drive solution architecture, model development, feature engineering, and optimization

- Ensure best practices in model validation, deployment, governance, and monitoring

- Work with cross-functional teams including actuarial, underwriting, claims, and distribution teams

- Stay updated with advancements in AI, Generative AI, and Agentic AI .

Required Skills & Expertise:

- Strong hands-on experience in Machine Learning algorithms and Data Science techniques

- Proficiency in Python, PySpark, and ML libraries such as Scikit-learn, TensorFlow, or PyTorch

- Experience in building and deploying end-to-end ML pipelines

- Strong understanding of data preprocessing, feature engineering, and model evaluation

-Experience working with large datasets and distributed Systems

Preferred Qualifications:

- Exposure to Generative AI (Gen AI) solutions such as LLMs, prompt engineering, or fine-tuning

- Experience with Agentic AI systems or autonomous AI workflows - Experience with cloud platforms (AWS, Azure, or GCP) is a plus

- Strong stakeholder management and communication skills