Job Opportunity at Manulife: Machine Learning Engineer (MLOps)
About the Role
Manulife is seeking a motivated and dedicated Machine Learning Engineer specializing in MLOps architecture, tooling, and standards development. This role involves maintaining and improving Python libraries, lightweight applications, and CI/CD pipelines to support AI/ML developers.
Key Responsibilities
- CI/CD Pipeline Management: Implement and manage pipelines for testing and deployment.
- Collaboration & Support: Assist AI/ML teams in adopting MLOps tools.
- Stakeholder Engagement: Gather feedback to enhance MLOps tools and features.
- Standards Development: Define and implement best practices for MLOps.
- Industry Insights: Stay updated with advancements in LLM and Generative AI.
- Cross-functional Collaboration: Work with data scientists, software engineers, and operations teams.
Impact
- Be a driving force in shaping AI/MLOps practices.
- Build new MLOps architecture, tooling, and standards.
- Enhance operational efficiency and foster innovation.
Ideal Candidate Traits
- Customer-centric mindset
- Curious and innovative
- Collaborative team player
- Ownership-driven
- Ethical and inclusive minded
Qualifications
- Education: Bachelor's or Master's in Computer Science, Data Science, Statistics, or related.
- Experience: 3-4 years in MLOps infrastructure and tooling.
- Technical Skills:
- Python proficiency
- CI/CD tools (preferably Jenkins)
- Cloud platforms (Azure preferred)
- ML development environments (Databricks)
- Containerization (Docker, Kubernetes)
- Experiment tracking (MLFlow)
- Additional Skills: Strong communication, understanding of ML lifecycle, knowledge of LLM/GenAI models.
Bonus Skills
- Databricks ecosystem expertise
- Full-stack development experience
- Adaptability to new frameworks
What We Offer
- Competitive salary and benefits
- Career growth opportunities
- Flexible work policies
- Professional development and leadership roles
Our Values & Culture
- Values-first culture
- Opportunity for continuous learning
- Innovation-driven environment
- Commitment to Diversity, Equity & Inclusion
- Social and environmental responsibility
About Manulife
A leading global financial services provider dedicated to helping people make decisions easier and lives better. Learn more
Equal Opportunity Statement
Manulife/John Hancock values diversity and strives for equal employment opportunities.
Location & Compensation
- Location: Toronto, Ontario
- Working Arrangement: Hybrid
- Salary Range: CAD 75,880 - 140,920 (varies by location and experience)
Additional Benefits
Comprehensive health, dental, mental health, insurance, retirement plans, paid time off, and more.
Job Highlights:
- Focus on MLOps architecture and tooling
- Support AI/ML teams
- Build standards for LLM & Generative AI
- Dynamic and inclusive work environment