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The opportunity
Manulife is looking for a skilled Machine Learning Engineer specializing in Generative AI and LLMs to assist in developing AI and Automation solutions for Operations. In this impactful role you will be part of our automation revolution helping to transform how we operate and interact with data. While intelligent document processing and analytics will be a key deliverable your contributions will support the creation of scalable enterprisegrade AI/ML solutions that enhance efficiency and unlock new possibilities across the organization.
Responsibilities
AI Solution Design and Implementation:Assist in designing and implementing machine learning models using Generative AI techniques to address complex business challenges focusing on operational modernization and automation.
Infrastructure Optimization:Support the deployment of Generative AI models on Azure utilizing cognitive search and frameworks like LangChain and equivalents to enhance automation capabilities.
Prompt Engineering and Model Tuning:Learn and apply prompt engineering techniques to guide LLMs toward desired outcomes. Assist in finetuning and optimizing models for specific tasks enhancing automation operational efficiency and decisionmaking processes.
CrossFunctional Collaboration:Collaborate with crossfunctional teams to identify automation opportunities define project scope and support the development of AIdriven solutions that streamline operations and reimagine business processes.
Experimentation and Optimization:Participate in designing and executing A/B tests and experiments using statistical methods to validate and optimize model performance for accuracy efficiency and scalability. Contribute to a culture of continuous improvement through datadriven insights.
AI Thought Leadership and Mentorship:Engage in best practices in MLOps and LLMOps including model versioning reproducibility monitoring and explainability. Receive mentorship and contribute to a culture of innovation in automation and AIdriven solutions.
Stay Informed on AI Innovation:Continuously research and evaluate emerging advancements in AI/ML LLMs and cloud technologies. Identify opportunities to integrate these advancements into our solutions supporting automation operational modernization and competitive advantage.
How will you create an impact
By leading or participating in design reviews they will ensure that each project increment aligns with the original vision and adheres to best practices. This will result in highquality scalable solutions that meet business objectives and enhance overall success of our organization goals
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
Technical Expertise:
LLMs:Handson experience with LLMs (e.g. GPT4o Llama 3 Gemini Claude 3 and related tools.
Cloud Platforms:Understanding of Azure services including Azure ML Azure Cognitive Search Azure Kubernetes Service (AKS) Azure Functions and Databricks.
Frameworks:Familiarity with frameworks like LangChain LlamaIndex CrewAI Autogen and evaluation frameworks like RAGAS.
Programming:Proficiency in Python and experience with relevant libraries; ability to quickly learn and implement new libraries frameworks and methodologies.
Databases:Understanding of SQL and NoSQL databases.
Vector Databases:Exposure to vector databases such as Pinecone Faiss or Weaviate for efficient similarity search in RAG applications.
Operational Excellence:Ability to thrive in fastpaced dynamic environments.
AI Innovation:Experience in using AI to automate processes and build AI workflows with a focus on operational efficiency.
Communication & Collaboration:Strong stakeholder management ability to translate technical concepts into business language and effective presentation skills.
Professional Background:Minimum Bachelors degree in Computer Science Data Science or a related field; ideally 34 years of experience in largescale systems; experience in intelligent document processing is a plus.
Bonus Points:
Operations Experience:Previous experience in working with Operations managing high availability and critical systems.
Full Stack Engineering Exposure:Ability to build proof of concepts/demos including both frontend and backend development.
Adaptability:Demonstrated proficiency in quickly picking up new frameworks and libraries.
Portfolio Showcase:Ability to showcase existing work or a portfolio demonstrating relevant skills and accomplishments.
Preferred Qualifications:
Masters degree in Computer Science or a related field.
Experience with microservices architecture and containerization (e.g. Docker Kubernetes).
Familiarity with DevOps practices and CI/CD pipelines.
Knowledge of data privacy and security regulations
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 worklife balance.
Professional development and leadership opportunities.
Our commitment to you
Valuesfirst 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 stakeholders and has a positive social and environmental impact.
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 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 practices and programs without discrimination on the basis of race ancestry place of origin colour ethnic origin citizenship religion or religious beliefs creed sex (including pregnancy and pregnancyrelated conditions) sexual orientation genetic characteristics veteran status gender identity gender expression age marital status family status disability or any other ground protected by applicable law.
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. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process contact .
Primary Location
Working Arrangement
Salary range is expected to be between
$75880.00 CAD $140920.00 CADIf you are applying for this role outside of the primary location please contact for the salary range for your location. The actual salary will vary depending on local market conditions geography and relevant jobrelated factors such as knowledge skills qualifications experience and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
Manulife offers eligible employees a wide array of customizable benefits including health dental mental health vision short and longterm disability life and AD&D insurance coverage adoption/surrogacy and wellness benefits and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays vacation personal and sick days and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S. please contact for more information about paid time off provisions.
Full-Time