Machine Learning Engineer

Manulife • Boston, MA

7d • Hybrid

About The Position

The Opportunity The Manulife/John Hancock AI Team is seeking a highly skilled and motivated Machine Learning Engineer with a strong focus on deploying end-to-end data science models and solutions to accelerate and optimize sales and marketing efforts. In this role, you will collaborate closely with Data Scientists, BI Specialists, Sales and Marketing Leaders, and IT partners to execute AI and Advanced Analytics initiatives that will shape the future of our business. The team implements a wide range of traditional ML models as well as cutting-edge LLM approaches. As a MLE, you will lead the development and deployment of innovative approaches to optimize existing and new machine learning systems, unlocking their full potential to drive maximum business value.

Requirements

• Bachelor's (and at least 3 years of experience working in AI/ Data Science) or Master’s degree in Computer Science, Engineering, Mathematics, or related field
• Hands on experience with Azure cloud tools, such as Databricks, AI Foundry, AI Search, Kubernetes
• Strong background with Python and SQL, experience using both for data analysis and orchestration.
• Experience in applying analytics and AI tools in Marketing and Sales functions.
• Strong business acumen and ability to understand stakeholders’ needs
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills

Nice To Haves

• Insurance industry experience is a plus.

Responsibilities

• Develop machine learning models and applications on cloud platforms like Azure Databricks and AKS, ensuring seamless integration, scalability, and cost-effectiveness.
• Develop Feature Store and standardized data models to support multiple business use cases.
• Solve business problems by deploying LLM/ Generative AI solutions by using RAG, Azure AI Search and other techniques.
• Design and develop ML models to address distribution and marketing efficiencies, including recommendation systems, content generation and competition optimization.
• Continuously monitor and improve the performance of machine learning models through data analysis and testing
• Collaborate with multi-functional teams to plan, scope, implement, and sustain predictive analytics solutions.
• Stay up to date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes.

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 global team, we’ll support you in shaping the future you want to see.
• 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