Machine Learning Engineer

Manulife • Boston, MA

4h • $87,990 - $163,410 • Hybrid

About The Position

Are you enthusiastic about machine learning and keen to demonstrate your skills in an innovative environment? Join Manulife as a Machine Learning Engineer and become an integral part of our U.S. Advanced Analytics team! This is a groundbreaking opportunity to work on pioneering projects that generate significant business value for our insurance division. You'll collaborate closely with a variety of teams, including Underwriting, Pricing, IT, Data Office, Operations, Sales, and Distribution, to successfully implement world-class analytics solutions!

Requirements

• 3+ years of experience in ML engineering, DevOps, or data science roles.
• 3+ years of hands-on experience with Azure/Cloud technologies (Databricks, MLFlow, Azure AI Studio).
• Strong Python programming skills and advanced SQL knowledge.
• Experience deploying models as REST APIs.
• Proficiency with Docker, Kubernetes, and cloud infrastructure.
• Working knowledge of LLMs (GPT models, BERT, Llama) and timely engineering.
• Experience with DevOps practices (Git, CI/CD pipelines).
• Ability to deliver pragmatic solutions under tight deadlines.
• Degree or equivalent experience in Computer Science, Data Science, Engineering, or related field.

Nice To Haves

• Experience in the insurance industry, particularly in underwriting and product development.

Responsibilities

• Design and implement scalable machine learning pipelines in collaboration with data teams.
• Optimize, deploy, and monitor ML models in production environments.
• Build and maintain data science infrastructure using Azure cloud services.
• Develop Generative AI applications, including Retrieval-Augmented Generation (RAG) systems and fine-tuned Large Language Models (LLMs).
• Select appropriate technical tools and frameworks for project implementation.
• Collaborate with multi-functional teams to integrate ML solutions into existing systems.
• Document ML architecture designs, model integration procedures, and deployment workflows in a clear, comprehensive manner.
• Develop automation scripts and tools to ease the deployment, scaling, and management of ML systems within the cloud environment.

Benefits

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our distributed team, we’ll support you in crafting the future you want to see.
• Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
• Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans.
• We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources.
• Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees