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Associate Machine Learning Engineer

Manulife is a leading international financial services provider focused on making decisions easier and lives better.
$45,000 - $84,000
Machine Learning
Entry-Level Software Engineer
Hybrid
5,000+ Employees
AI · Finance

Description For Associate Machine Learning Engineer

Manulife, a leading international financial services provider, is seeking an Associate Machine Learning Engineer to join their Group AI team. This role represents an exciting opportunity to work at the intersection of machine learning and software engineering in a global financial institution.

The position focuses on the practical implementation and operationalization of machine learning solutions, requiring a unique blend of ML expertise and software engineering capabilities. As an Associate ML Engineer, you'll be responsible for building and deploying scalable ML pipelines, working with cutting-edge technologies including Large Language Models, and collaborating with cross-functional teams to deliver business value.

The role offers significant growth potential, combining hands-on technical work with mentorship opportunities. You'll work with modern tools and technologies including Python, TensorFlow/PyTorch, Azure cloud services, and Kubernetes, while following MLOps best practices. The position requires strong programming skills and understanding of both software engineering and machine learning principles.

Manulife offers a comprehensive benefits package including health, dental, and vision coverage, retirement plans, and various wellness benefits. The hybrid work environment provides flexibility while maintaining collaborative opportunities. The company's commitment to digital innovation and sustainable practices makes it an ideal place for those interested in applying ML solutions to real-world financial services challenges.

The role is perfect for candidates with a computer science or engineering background who are passionate about machine learning and want to work in a supportive environment that encourages continuous learning and professional development. You'll be part of a global team working to shape the future of financial services through AI and ML innovations.

Last updated a day ago

Responsibilities For Associate Machine Learning Engineer

  • Collaborate with Data Scientists and Data Engineers to design and implement scalable ML pipelines
  • Evaluate machine learning models for optimal performance and scalability
  • Deploy ML models into production environments
  • Manage data science infrastructure
  • Propose and implement appropriate tools and frameworks
  • Work with infrastructure architects to develop scalable solutions
  • Integrate ML models into existing systems
  • Stay current with ML, AI, and Generative AI advancements
  • Mentor peers on ML/LLMOps practices

Requirements For Associate Machine Learning Engineer

Python
Kubernetes
  • Bachelor's degree in computer science, engineering, or related field
  • Hands-on experience with large-scale software engineering systems
  • Experience with DevOps pipelines and tools like Git, Jenkins
  • Strong programming skills in Python
  • Experience with ML libraries like TensorFlow, PyTorch, or scikit-learn
  • Knowledge of MLOps practices
  • Advanced SQL knowledge
  • Experience with cloud computing, Linux OS, Docker, Kubernetes
  • Experience with Azure stack preferred
  • Proficiency in building ETL pipelines
  • Experience with Large Language Models

Benefits For Associate 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
  • Global share ownership plan with employer matching
  • Financial education and counseling
  • Paid time off including holidays, vacation, personal, and sick days
  • Adoption/surrogacy benefits
  • Wellness benefits
  • Employee/family assistance plans

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