Machine Learning Engineer

Are you ready to embark on an outstanding journey with Manulife? As a Machine Learning Engineer, you will be part of our ambitious Group Advanced Analytics team. This role offers an outstanding opportunity to work on flawless machine learning solutions that drive substantial business value across various parts of Manulife. Your sophisticated programming skills and deep understanding of Data Science, Data Engineering, application development, software engineering, and DevOps will be instrumental in our success.

Position Responsibilities:

• Collaborate with Data Scientists and Data Engineers to craft and implement scalable and efficient machine learning pipelines.
• Evaluate and optimize machine learning models for performance and scalability.
• Deploy machine learning models into production and monitor their performance.
• Handle data science infrastructure to streamline model development and deployment.
• Propose appropriate tools (languages/libraries/frameworks) for implementing projects.
• Work closely with infrastructure architects to craft scalable and efficient solutions.
• Integrate machine learning models into existing systems and processes by working closely with multi-functional teams.
• Stay up-to-date with the latest advancements in ML & AI.
• Mentor associates and peers on MLOps standard practices.

Required Qualifications:

• Hands-on experience with large-scale systems in software engineering.
• Experience in operationalizing code through DevOps pipeline (git, Jenkins pipeline, code scan).
• Familiarity with big data processing and building data APIs. Experience with automated data quality frameworks is a plus.
• Working experience in building and deploying machine learning models as REST-based API using Flask, Elasticsearch, etc.
• Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Advanced working SQL knowledge and experience working with relational databases and SQL.
• Experience in infrastructure, including Cloud Computing, Linux OS, Networks, Docker, Kubernetes, RDBMS and NoSQL Databases.
• Experience working with cloud native architecture (PaaS) using Azure stack preferably and experience with Azure ML, DataBricks (Spark), Azure Data Factory will be an asset.
• Experience in building ETL pipelines to perform feature engineering on large-scale dataset using Spark.
• Experience with Large Language Models (LLMs) such as GPT-3 or BERT.
• Ability to balance a sense of urgency with shipping high quality and pragmatic solutions.

Preferred Qualifications:

• Expertise in delivering analytics & machine learning products, with a deep understanding of agile product delivery in an enterprise environment.

When you join our team:

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our distributed team, we'll support you in crafting the future you want to see!

#LI-Hybrid

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 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 pregnancy-related 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 recruitment@manulife.com.

Referenced Salary Location

Salary range is expected to be between

If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related 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 long-term 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 recruitment@manulife.com for more information about U.S.-specific paid time off provisions.