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Machine Learning Engineer
Machine Learning EngineerManulife • Toronto, Ontario, Canada
Machine Learning Engineer

Machine Learning Engineer

Manulife • Toronto, Ontario, Canada
30+ days ago
Job type
  • Full-time
Job description

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. Youll 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 :

  • Well empower you to learn and grow the career you want.
  • Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team well support you in shaping the future you want to see.
  • 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 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 .

    Referenced Salary Location

    Toronto Ontario

    Working Arrangement

    Hybrid

    Salary range is expected to be between

    $75880.00 CAD - $140920.00 CAD

    If you are applying for this role outside of the primary location please contact 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 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 for more information about U.S.-specific paid time off provisions.

    Key Skills

    Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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