Senior Machine Learning Engineer

Manulife/John Hancock, a leading international financial services provider, is seeking a Senior Machine Learning Engineer to join their U.S. Advanced Analytics team. This role presents an exciting opportunity to work at the intersection of artificial intelligence and financial services, focusing on operationalizing analytics solutions for the insurance division.

The position involves designing and implementing machine learning pipelines, working with cutting-edge technologies including LLMs and RAG systems, and building robust ML infrastructure using Azure cloud services. You'll be responsible for packaging models, automating workflows, and establishing MLOps/LLMOps standards while collaborating with diverse teams across Underwriting, Pricing, IT, Data Office, and more.

As an ideal candidate, you'll bring 5+ years of ML engineering experience, strong Python and SQL skills, and expertise in cloud technologies, particularly Azure. Your role will be crucial in driving the company's AI initiatives, working with modern tools like Docker, Kubernetes, and various LLM frameworks.

The company offers an attractive compensation package ranging from $104,860 to $194,740 USD, along with comprehensive benefits including health insurance, 401(k), and generous PTO. Working in a hybrid arrangement from Boston, you'll be part of a values-driven culture that emphasizes continuous innovation and professional growth.

This role is perfect for someone who combines technical expertise with business acumen, enjoys solving complex problems, and wants to make a significant impact in the financial services industry. The position offers excellent opportunities for career advancement and skill development in an environment that champions diversity, equity, and inclusion.