Machine Learning Engineer
Description For Machine Learning Engineer
Manulife, a leading international financial services provider, is seeking a Machine Learning Engineer to join their Group Advanced Analytics team. This role presents an exceptional opportunity to work on sophisticated machine learning solutions that drive significant business value across various aspects of Manulife's operations.
The position requires a blend of technical expertise in machine learning, software engineering, and DevOps practices. As a Machine Learning Engineer, you'll be responsible for developing and deploying scalable ML pipelines, collaborating with data scientists and engineers, and ensuring optimal model performance in production environments.
Key technical requirements include strong Python programming skills, experience with ML frameworks like TensorFlow and PyTorch, and proficiency in cloud technologies, particularly Azure stack. The role demands expertise in working with large-scale systems, DevOps practices, and modern data processing tools like Spark and Elasticsearch.
What makes this role particularly attractive is Manulife's commitment to employee growth and well-being. The company offers a comprehensive benefits package including health, dental, and vision coverage, retirement plans, and flexible work arrangements. As part of a distributed team in a hybrid work environment, you'll have the opportunity to shape the future of financial services through innovative ML solutions.
Manulife stands out for its inclusive work culture and focus on digital innovation. The company has received numerous recognitions, including being named one of Forbes World's Best Employers 2023 and winning the 2024 Gallup Exceptional Workplace Award. They're committed to fostering an environment where diversity is celebrated and employees are empowered to grow their careers while maintaining work-life balance.
The role offers competitive compensation ranging from $56,000 to $104,000 CAD annually, with additional incentive opportunities based on business and individual performance. Located in Toronto, you'll be part of a global organization that's driving the future of financial services through technology and innovation.
Responsibilities For Machine Learning Engineer
- Collaborate with Data Scientists and Data Engineers to craft and implement scalable machine learning pipelines
- Evaluate and optimize machine learning models for performance and scalability
- Deploy machine learning models into production and monitor their performance
- Handle data science infrastructure to streamline model development and deployment
- Propose appropriate tools for implementing projects
- Work closely with infrastructure architects to craft scalable solutions
- Integrate machine learning models into existing systems
- Stay up-to-date with the latest advancements in ML & AI
- Mentor associates and peers on MLOps standard practices
Requirements For Machine Learning Engineer
- Hands-on experience with large-scale systems in software engineering
- Experience in operationalizing code through DevOps pipeline
- Experience with big data processing and building data APIs
- Experience in building and deploying machine learning models as REST-based API
- Strong programming skills in Python and ML libraries
- Advanced working SQL knowledge
- Experience in cloud infrastructure, Linux OS, Docker, Kubernetes
- Experience with Azure stack, Azure ML, DataBricks
- Experience in building ETL pipelines using Spark
- Experience with Large Language Models (LLMs)
- Ability to balance urgency with high quality solutions
Benefits For Machine Learning Engineer
- Health insurance coverage
- Dental coverage
- Vision coverage
- Mental health benefits
- Parental leave
- Retirement savings plans
- Global share ownership plan
- Financial education resources
- Paid time off including holidays, vacation, personal, and sick days
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