Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Manulife/John Hancock is seeking a Senior Machine Learning Engineer to join their U.S. Advanced Analytics team. This role is crucial in operationalizing analytics solutions for the insurance division, focusing on packaging models, automating workflows, and implementing MLOps/LLMOps platforms. The position offers an opportunity to work with cutting-edge technologies including Azure cloud services, Generative AI, and LLMs while collaborating with diverse teams across Underwriting, Pricing, IT, and more.
The ideal candidate will combine expert programming skills with strong understanding of data science and MLOps. You'll be responsible for designing and implementing scalable ML pipelines, optimizing and deploying models in production, and developing Generative AI applications. The role offers competitive compensation ($104,860 - $194,740), comprehensive benefits, and flexible hybrid work arrangements.
Working at Manulife/John Hancock means joining a values-first culture with boundless opportunities for growth and innovation. The company is committed to diversity, equity, and inclusion, fostering an inclusive workplace where everyone can thrive. You'll have access to professional development, leadership opportunities, and the chance to contribute to redefining the future of financial services.
The position requires 5+ years of relevant experience and strong technical skills in Python, SQL, cloud technologies, and modern ML/AI tools. If you're passionate about applying machine learning to solve real business problems, working in a collaborative environment, and driving innovation in the financial services sector, this role offers an excellent opportunity to make a significant impact while advancing your career.
Responsibilities For Senior Machine Learning Engineer
- Design and implement scalable machine learning pipelines
- 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
- Collaborate with cross-functional teams
- Document ML architecture designs and procedures
- Develop automation scripts and tools for ML systems
Requirements For Senior Machine Learning Engineer
- 5+ years of experience in ML engineering, DevOps, or data science roles
- 3+ years of hands-on experience with Azure/Cloud technologies
- 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 and prompt engineering
- Experience with DevOps practices (Git, CI/CD pipelines)
- Degree in Computer Science, Data Science, Engineering, or related field
- Ability to deliver pragmatic solutions under tight deadlines
Benefits For Senior Machine Learning Engineer
- Competitive salary and benefits packages
- Professional development opportunities
- Flexible work policies
- Health, dental, mental health, vision coverage
- Short and long-term disability
- Life and AD&D insurance
- Adoption/surrogacy benefits
- Wellness benefits
- Employee assistance plans
- Retirement savings plans (pension/401k)
- Global share ownership plan
- 11 paid holidays
- 3 personal days
- 150 hours vacation
- 40 hours sick time
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