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Machine Learning Engineer

Job in Toronto, Ontario, M5A, Canada
Listing for: Manulife
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

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 Global AI team
! This is a groundbreaking opportunity to work on pioneering projects that generate significant business value for our organization. You'll collaborate closely with a variety of teams, including stakeholders in the Insurance and Investment segments, Technology partners, Data Office, Operations, Sales, and Distribution, to successfully implement world-class analytics solutions!

Position Responsibilities:

  • Design and implement highly scalable, distributed machine learning pipelines in collaboration with data and platform teams.
  • Design, implement, and operate AI runtimes and services leveraging event‑driven and distributed systems patterns.
  • Optimize, deploy, and monitor ML models and AI services in production
    grade, large
    scale environments
    .
  • Build and maintain data science and ML platform infrastructure using Azure cloud services
    .
  • Develop Generative AI applications, including Retrieval
    Augmented Generation (RAG) systems and fine‑tuned Large Language Models (LLMs), designed for global reuse and scalability.
  • Define and enforce platform standards, patterns, and best practices for AI service development and deployment.
  • Collaborate with multi‑functional teams to integrate AI solutions into enterprise systems and workflows
    .
  • Document platform architecture
    , ML system designs, runtime patterns, and deployment workflows in a clear, comprehensive manner.
  • Develop automation tools and scripts to enable self
    service deployment
    , scaling, and lifecycle management of AI systems in the cloud.
  • Required Qualifications:

  • 3+ years of experience in ML engineering, platform engineering, distributed systems, Dev Ops, or data science roles.
  • 3+ years of hands‑on experience with Azure / cloud technologies (e.g., Databricks, MLflow, AKS, Web App Service).
  • Strong Java programming skills and advanced SQL knowledge.
  • Experience deploying models or AI services as REST or event
    driven APIs
    .
  • Experience with Docker, Kubernetes
    , and cloud‑native infrastructure.
  • Experience with Python
  • Working knowledge of LLMs (GPT‑based models, BERT, Llama) and prompt / inference engineering
    .
  • Experience with Dev Ops and platform engineering practices
    , including Git and CI/CD pipelines.
  • Ability to design and deliver pragmatic, production
    ready solutions under tight timelines.
  • Degree or equivalent experience in Computer Science, Data Science, Engineering, or a related field.
  • Preferred Qualifications:

  • Experience building internal platforms or developer enablement systems used by multiple teams.
  • Experience in the insurance or financial services industry
  • 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

    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 .

    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…

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