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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

Manulife, a leading international financial services provider, is seeking a Machine Learning Engineer to join their innovative team at the forefront of generative AI and financial technology. This role offers a unique opportunity to work on cutting-edge AI applications in a regulated financial environment.

The position involves developing and deploying sophisticated generative AI applications, including copilots, summarization tools, and conversational agents. You'll be working with large language models, vector databases, and building scalable RAG (Retrieval-Augmented Generation) systems. The role requires collaboration with financial domain experts to understand complex use cases in wealth management, retirement planning, and risk analysis.

As a Machine Learning Engineer, you'll be responsible for implementing MLOps workflows, ensuring model lifecycle management, and maintaining high standards of data privacy and security compliance. The position requires 3+ years of experience in machine learning engineering, strong Python skills, and expertise with modern AI frameworks and cloud platforms.

Manulife offers a comprehensive benefits package including health, dental, vision coverage, retirement plans, and wellness benefits. The company promotes a flexible, inclusive work environment with opportunities for career growth and development. The hybrid work arrangement allows for a balance between remote and office work.

This role is perfect for someone passionate about applying AI technology in the financial sector, who values working in a collaborative environment while maintaining high standards of technical excellence and regulatory compliance. Join Manulife to be part of shaping the future of financial services through innovative AI solutions.

Last updated 19 days 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, model serving layers, and secure pipelines
  • Implement MLOps workflows
  • Ensure data privacy, security, and compliance

Requirements For Machine Learning Engineer

Python
Kubernetes
  • 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
Mental Health Assistance
401k
  • Health insurance coverage
  • Dental coverage
  • Vision coverage
  • Mental health benefits
  • Retirement savings plans
  • Employee/family assistance plans
  • Wellness benefits
  • Paid time off including holidays, vacation, personal, and sick days
  • Financial education and counseling resources

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