Associate AI Engineer

Company 1; Toronto; Hybrid; CAD 60,000 - 114,000; Full time

Job summary

A leading technology firm in Toronto is seeking an Associate AI Engineer to join their AI team. This role focuses on developing machine learning pipelines, operationalizing analytics solutions, and collaborating with cross-functional teams. The ideal candidate should possess advanced programming skills, experience in data science and engineering, and familiarity with DevOps. A strong background in cloud computing and machine learning frameworks is essential for success in this role. This opportunity offers a hybrid working arrangement and a competitive salary.

Benefits

Health and dental insurance

Flexible work environment

Retirement savings plans

Generous paid time off program

Qualifications

• Extensive hands-on experience with large-scale software engineering systems.
• Experience operationalizing code through DevOps pipelines.
• Strong familiarity with MLOps practices.

Responsibilities

• Collaborate to design machine learning pipelines.
• Evaluate and deploy machine learning models.
• Manage data science infrastructure.
• Stay ahead of advancements in AI and ML.

Skills

Advanced programming skills

Data Science

Data Engineering

Machine Learning

DevOps

Cloud Computing

Python

SQL

Education

Bachelor's degree in computer science or engineering

Graduate degree preferred

Tools

Git

Jenkins

Docker

Kubernetes

Azure

Databricks

Job description

The Associate AI Engineer will join the Group AI team focusing on packaging models, automating workflows, and operationalizing analytics solutions to deliver business value across JH / Manulife. The ideal candidate should be an advanced programmer with a strong grasp of Data Science, Data Engineering, application development, software engineering, and DevOps.

Position Responsibilities

• Collaborate closely with Data Scientists and Data Engineers to design and implement scalable, efficient machine learning pipelines that meet business needs.
• Evaluate machine learning models to ensure optimal performance and scalability, making necessary adjustments to improve outcomes.
• Deploy machine learning models into production environments, ensuring seamless integration and continuously monitor their performance to maintain reliability and accuracy.
• Manage and oversee data science infrastructure to streamline the model development and deployment process, ensuring efficient workflows.
• Propose and implement appropriate tools, including languages, libraries, and frameworks, to enhance project execution and outcomes.
• Work in collaboration with infrastructure architects to develop scalable and efficient solutions that align with organizational goals and technological capabilities.
• Collaborate with multi-functional teams to integrate machine learning models into existing systems and processes, ensuring a smooth transition and effective implementation.
• Stay ahead of the latest advancements in Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI) to incorporate innovative techniques and technologies into projects.
• Mentor peers and provide guidance on ML / LLMOps standard practices, fostering a culture of continuous learning and improvement within the team.

Required Qualifications

• A bachelor's degree in computer science, engineering, or a related field is required, with a graduate degree being preferred.
• Extensive hands-on experience with large-scale software engineering systems, emphasizing the development and deployment of machine learning models.

Preferred Qualifications

• Proven experience in operationalizing code through DevOps pipelines, including tools like Git, Jenkins, and code scanning technologies.
• Strong programming skills in Python with experience in machine learning libraries like TensorFlow, PyTorch, or scikit-learn.
• Strong familiarity with MLOps practices including model monitoring, versioning, and lifecycle management to ensure robust and scalable deployment of machine learning solutions.
• Advanced knowledge of SQL and experience working with relational databases alongside proficiency in RDBMS and NoSQL databases.
• Experience in infrastructure management including cloud computing, Linux OS, networks, Docker, and Kubernetes.
• Expertise in cloud-native architecture, preferably using the Azure stack with skills in Azure ML, Databricks (Spark), and Azure Data Factory as valuable assets.
• Proficient in building ETL pipelines for feature engineering on large-scale datasets using Spark.
• Experience with Large Language Models (LLMs) including proprietary or open source models.
• Ability to balance urgency with the delivery of high-quality pragmatic solutions.
• Expertise in delivering analytics and machine learning products with a deep understanding of agile product delivery in enterprise environments.

When you join our team

• We will empower you to learn and grow the career you want.
• We recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we will support you in shaping 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 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 .

Referenced Salary Location

Toronto Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$60900.00 CAD - $113100.00 CAD

If 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 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 for more information about U.S.-specific paid time off provisions.

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