AI ML Engineer

Role Overview Crystal Peak is hiring talented AI ML Engineers to join a leading product-based company operating in the insurance domain. This is a high-impact opportunity to design and deploy cutting-edge artificial intelligence and machine learning solutions that transform core insurance operations, from underwriting automation to intelligent claims processing workflows. You will work on building accelerators, data products, and AI-infused tools that drive real business outcomes. Key Responsibilities - Design and implement machine learning models for risk scoring and insurance underwriting automation - Build and maintain AI-infused tools, data products, and intelligent accelerators for the insurance domain - Collaborate with cross-functional teams to develop end-to-end ML pipelines and deploy models into production - Continuously evaluate and improve model performance, accuracy, and scalability - Contribute to intelligent claims workflow solutions and other AI-driven insurance applications Required Qualifications - Proven experience as an AI ML Engineer or similar role in a product-based company - Strong understanding of machine learning algorithms, model development, and deployment best practices - Hands-on experience with Python and relevant ML frameworks such as TensorFlow, PyTorch, or scikit-learn - Familiarity with data pipelines, feature engineering, and model monitoring in production environments - Experience or exposure to the insurance domain is a strong advantage Why Join Us This role offers you the chance to take full ownership of impactful AI solutions at a growing product company reshaping the insurance industry. You will work on meaningful, complex problems with a team that values innovation, accountability, and technical excellence.

- Machine learning model design and implementation - Python programming - ML frameworks such as TensorFlow, PyTorch, or scikit-learn - Data pipeline development and feature engineering - Model deployment and monitoring in production - Experience in insurance or fintech domain preferred - Strong problem-solving and analytical skills