Associate Machine Learning Engineer

We are looking for an innovative and motivated Associate Machine Learning Engineer to join our Global Customer AI Solutions team at Manulife. Reporting to the Senior Director, you will play a critical role in designing, developing, and deploying AI solutions that propel innovation and optimize our global operations. You will collaborate with cross-functional teams to build robust, scalable AI systems, ensuring successful integration and delivery across multiple business segments.

Position Responsibilities: 

• AI Solution Implementation: Leverage and integrate advanced AI models, such as large language models (LLMs) and Agentic AI, to solve complex business problems and enhance operational efficiency.
• Seamless Design: Partner with business stakeholders and other engineers to gather requirements and build/integrate AI solutions smoothly with existing systems.
• Document Indexing: Design & collaborate with Data engineers on complex content extraction and chunk/loading to vector stores
• Data Pipeline Management: Work with data engineers to establish high-quality data pipelines that ensure efficient data processing for AI applications.
• Model Optimization: Regularly assess and enhance AI models and systems for optimal performance, accuracy, and reliability.
• Responsible AI Practices: Advocate for and apply responsible AI practices and rigorous testing methodologies.
• Continuous Innovation: Keep up with the latest AI technologies and research, incorporating new methodologies to enhance our solutions.
• Collaboration: Actively learn from senior engineers and contribute to a collaborative, innovative team environment.
• Efficient Human Feedback Loops: Implement efficient human feedback loops to refine and improve AI actioning solutions

Required Qualifications:

• Professional Experience: At least 2 years of experience in Machine Learning engineering with a proven track record of successfully building and deploying AI solutions.
• Technical Proficiency: Familiarity with AI frameworks and libraries such as LangChain, LangGraph, or OpenAI SDK, and Strong Python programming language skills.
• Educational Background: Bachelor’s degree in computer science, Engineering, or a related field; equivalent technical experience is also considered.

Preferred Qualifications:

• Prompt Engineering: Strong skills in prompt engineering and indexing/retrieval techniques.
• AI Engineering: Strong skills in developing production grade AI code, building APIs with best practices and integrate with UI.  
• Distributed Systems: Experience with distributed computing frameworks and cloud platforms like AWS, Azure, or Google Cloud.
• Machine Learning Expertise: Foundational knowledge of machine learning algorithms and experience in applying pre-built models.
• Data Engineering Skills: Understanding of data engineering principles, including data pipelines and ETL processes.
• Problem-Solving Ability: Exceptional problem-solving skills with the capacity to tackle complex technical challenges.
• Effective Communication: Excellent communication skills to effectively collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.

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

#LI-Hybrid

The role being advertised is an existing vacancy.

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

Toronto, OntarioHybrid

Salary range is expected to be between

$69,525.00 CAD - $115,875.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location.

Manulife 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 and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.