Machine Learning Engineer

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!

Position 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.

Required Qualifications:

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

When you join our team: 

• 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. 

#LI-Hybrid
 

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Referenced Salary Location

Salary range is expected to be between

If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. 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.

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