Associate Machine Learning Engineer

Manulife

Associate Machine Learning Engineer developing and deploying LLM and Agentic AI solutions for Manulife’s global financial services operations. Building data pipelines, APIs, and responsible AI systems.

Posted 8/20/2026full-timeToronto • 🇨🇦 CanadaJuniorMid-Level💰 CA$69,525 - CA$115,875 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI solutions, with strong proficiency in Python programming, machine learning engineering, and data pipeline establishment. Capable of collaborating with cross-functional teams and integrating AI technologies to optimize business operations.

Highest-signal resume keywords

Machine Learning EngineeringPython ProgrammingAI Solution DeploymentLangChain or OpenAI SDK FamiliarityData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI SolutionsPrompt EngineeringIndexing TechniquesAPI DevelopmentDistributed ComputingCloud PlatformsData Engineering PrinciplesETL ProcessesPre-Built Models

Soft Skills

Excellent CommunicationCross-Functional Collaboration

Tools & Technologies

AWSAzureGoogle CloudLangGraph

Industry Keywords

AI TechnologiesResponsible AI PracticesData PipelinesPerformance OptimizationRigorous Testing Methodologies

Tech Stack

Tools & technologies

AWSAzureCloudETLPython

About the role

Key responsibilities & impact

Design, develop, and deploy AI solutions for global operations
Leverage and integrate large language models (LLMs) and Agentic AI to solve business problems
Gather requirements with business stakeholders and integrate AI solutions with existing systems
Design and collaborate with data engineers on content extraction and chunk/loading to vector stores
Establish high-quality data pipelines for AI applications
Assess and optimize AI models and systems for performance, accuracy, and reliability
Apply responsible AI practices and rigorous testing methodologies
Research and incorporate emerging AI technologies and methodologies
Learn from senior engineers and contribute to a collaborative team environment
Implement efficient human feedback loops to refine AI actioning solutions
Report to the Senior Director

Requirements

What you’ll need

At least 2 years of experience in Machine Learning engineering
Proven track record of successfully building and deploying AI solutions
Familiarity with LangChain, LangGraph, or OpenAI SDK
Strong Python programming skills
Bachelor’s degree in computer science, Engineering, or a related field; equivalent technical experience is also considered
Strong prompt engineering and indexing/retrieval techniques skills
Experience developing production-grade AI code
Experience building APIs with best practices and integrating with UI
Experience with distributed computing frameworks and cloud platforms such as AWS, Azure, or Google Cloud
Foundational knowledge of machine learning algorithms
Experience applying pre-built models
Understanding of data engineering principles, data pipelines, and ETL processes
Excellent communication skills for cross-functional collaboration and conveying technical concepts to non-technical stakeholders

Benefits

Comp & perks

Flexible work environment supporting well-being and inclusion
Health insurance
Dental insurance
Mental health benefits
Vision insurance
Short- and long-term disability insurance
Life and AD&D insurance coverage
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans, including pension
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Paid holidays, vacation, personal, and sick days
Statutory leaves of absence
Incentive programs and incentive compensation tied to business and individual performance