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Machine Learning Engineer

Manulife is a leading international financial services provider focused on making decisions easier and lives better.
$56,000 - $104,000
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Finance

Description For Machine Learning Engineer

Join Manulife's innovative team as a Machine Learning Engineer where you'll be at the forefront of generative AI and financial technology. In this role, you'll be responsible for developing and deploying sophisticated AI applications including copilots, summarization tools, and conversational agents. Working in a collaborative environment, you'll implement and fine-tune large language models, build RAG systems, and create secure pipelines for production deployment.

The position offers a unique opportunity to work at the intersection of AI and financial services, where you'll collaborate with domain experts in wealth management, retirement planning, and risk analysis. You'll be responsible for implementing MLOps workflows, ensuring data privacy, and maintaining compliance with financial regulations.

Manulife, a leading international financial services provider, offers a comprehensive benefits package including health, dental, and vision coverage, retirement plans, and various wellness benefits. The company promotes a flexible, inclusive work environment with hybrid working arrangements and emphasizes continuous learning and career growth.

This role is perfect for someone with strong machine learning engineering experience who wants to make an impact in the financial sector while working with cutting-edge AI technologies. You'll be part of a global team shaping the future of financial services through technological innovation, with the backing of a well-established organization committed to digital transformation.

Last updated a day ago

Responsibilities For Machine Learning Engineer

  • Craft, develop, and deploy generative AI applications
  • Implement and fine-tune large language models
  • Integrate models with vector databases
  • Build scalable RAG systems
  • Collaborate with financial domain experts
  • Build and maintain APIs and model serving layers
  • Implement MLOps workflows
  • Ensure data privacy, security, and compliance

Requirements For Machine Learning Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 3+ years of experience in machine learning engineering, including production-level deployment
  • Proficient in Python and experienced with generative AI and ML frameworks
  • Experience with cloud platforms, containerization, and CI/CD workflows
  • Experience building generative AI applications in financial context
  • Deep understanding of LLM fine-tuning, embeddings, and optimization
  • Knowledge of MLOps tools and model monitoring frameworks

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Health insurance
  • Dental coverage
  • Vision coverage
  • Mental health benefits
  • Retirement savings plans
  • Global share ownership plan
  • Financial education and counseling
  • Paid time off including holidays, vacation, personal, and sick days
  • Adoption/surrogacy benefits
  • Wellness benefits

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