What are the responsibilities and job description for the Lead MLOps / LLM Ops (Director Level) position at Manulife?
The Opportunity
The Lead MLOps / LLM Ops will own the design, recommendation & implementation of platform, infrastructure and best MLOps / LLMOps practices to support all data science teams and projects in US Segment Advanced Analytics! This role will closely work with multi-functional teams such as IT, Data Office, Operation, Sales & Distribution, etc. to strategize and implement AI / Advanced Analytics applications and deployment. It’s a unique position to bring innovative ideas (such as Gen-AI solutions) to life and have business impact directly with sound architecture, effective MLOps / LLMOps processes and comprehensive controls!
Responsibilities
- Design and implement optimal MLOps framework, standards, and guidelines, maintaining the central GitHub MLOps repository, driving adoption and fostering a community around it.
- Work closely with Data Scientists, Data & Platform Engineers, Architects and IT partners to design and implement MLOps / LLMOps processes to enable seamless deployment, integration with systems and monitoring of AI models on cloud environment.
- Lead and manage high-quality Generative AI tech development (prompt engineering, RAG applications, and fine-tune LLM models to meet business need) and streamline Generative AI model development and deployment using Azure infrastructure and capabilities like Azure AI studio.
- Manage and architect AI solutions and deployment with systematic approach to allow implementation at-scale.
- Continually assess maturity of teams MLOps / LLM Ops tools and practices, establish and drive standard methodologies for model versioning, testing, and monitoring to ensure the reliability and performance of AI / ML solutions.
- Jointly shape the global rollout of Continuous Monitoring capabilities, working closely with cloud and 3rd party vendors ensuring reliability and scalability, and maintaining comprehensive documentation of MLOps processes and procedures.
- Develop close partnership with Data Science Teams, Data Office and IT partners, foster strong collaboration.
- Stay up to date with the latest advancements in machine learning and MLOps / LLMOps techniques, closely follow industrial trends, and contribute to the continuous improvement of our machine learning capabilities.
What motivates you?
What we are looking for
Preferred Qualifications
What can we offer you?
Our commitment to you
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.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process.
Primary Location
CAN, Ontario, Toronto, 250 Bloor Street East
Working Arrangement
Hybrid
Salary range is expected to be between
110,530.00 CAD - $205,270.00 CAD
If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location.
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Salary : $110,530 - $205,270
