Senior Machine Learning Engineer

The Opportunity

The Senior Machine Learning Engineer will be part of the U.S. Advanced Analytics team, responsible for packaging models, automating workflows, and operationalizing analytics solutions to generate business value for the insurance division of JH/Manulife. This role will contribute to designing, recommending, and implementing platforms, infrastructure, and standard methodologies in MLOps/LLMOps to support data scientists. The position involves close collaboration with multi-functional teams, including Underwriting, Pricing, IT, Data Office, Operations, Sales, and Distribution. The ideal candidate will be an expert programmer with a strong understanding of data science, data engineering, application development, software engineering, and DevOps/MLOps. 

Responsibilities

• Design and implement scalable machine learning pipelines in collaboration with data teams
• Optimize, deploy and monitor ML models in production environments
• Build and maintain data science infrastructure using Azure cloud services
• Develop Generative AI applications including RAG systems and fine-tuned LLMs
• Select appropriate technical tools and frameworks for project implementation
• Collaborate with cross-functional teams to integrate ML solutions into existing systems
• Document ML architecture designs, model integration procedures, and deployment workflows in a clear, comprehensive manner
• Develop automation scripts and tools to ease the deployment, scaling, and management of ML systems within the cloud environment

What motivates you?

• You obsess about customers, listen, engage and act for their benefit.
• You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
• You thrive in teams and enjoy getting things done together.
• You take ownership and build solutions, focusing on what matters.
• You do what is right, work with integrity and speak up.
• You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What we are looking for

• 5+ years of experience in ML engineering, DevOps, or data science roles
• 3+ years of hands-on experience with Azure/Cloud technologies (Databricks, MLFlow, Azure AI Studio)
• Strong Python programming skills and advanced SQL knowledge
• Experience deploying models as REST APIs
• Proficiency with Docker, Kubernetes, and cloud infrastructure
• Working knowledge of LLMs (GPT models, BERT, Llama) and prompt engineering
• Experience with DevOps practices (Git, CI/CD pipelines)
• Ability to deliver pragmatic solutions under tight deadlines
• Degree in Computer Science, Data Science, Engineering, or related field
• Preferred: Experience in the insurance industry, particularly in underwriting and product development

What can we offer you?

• A competitive salary and benefits packages.
• A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
• A focus on growing your career path with us.
• Flexible work policies and strong work-life balance.
• Professional development and leadership opportunities.

Our commitment to you

• Values-first culture: We lead with our Values every day and bring them to life together.
• Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
• Continuous innovation: We invite you to help redefine the future of financial services.
• Delivering the promise of Diversity, Equity and Inclusion:  We foster an inclusive workplace where everyone thrives.
• Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

#LI-Hybrid

#LI-JH

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practic