Associate ML Engineer

Manulife; Toronto; On-site; CAD 60,000 - 114,000; Full time

Job summary

A leading financial services provider in Toronto seeks an Associate ML Engineer to develop analytics-enabled solutions and manage cross-functional projects. The ideal candidate will possess a Bachelor's degree in a related field and basic programming knowledge. Responsibilities include managing data science infrastructure, optimizing ML functionalities, and mentoring peers in best practices. This full-time role offers a hybrid working model and competitive salary.

Benefits

Health and dental insurance

Retirement savings plan

Paid time off program

Qualifications

• Basic working knowledge of programming languages (Java, C, SAS, SPSS, R, or Python).
• Knowledge of data visualization tools such as Tableau and PowerBI.
• Familiarity with AI toolkits and understanding of machine learning algorithms.

Responsibilities

• Manage data science infrastructure for model development and deployment.
• Develop and optimize ML functionalities for production systems.
• Mentor associates on DevOps / MLOps best practices.

Skills

Curiosity

Eagerness to learn

Commitment to career development

Education

Bachelor's degree in Math, Computer Science, or Engineering

Tools

Python

SQL

Tableau

Job description

The Associate ML Engineer at Manulife will play a vital role in developing analytics-enabled solutions within cross-functional project teams. This role involves managing assigned tasks collaborating with senior team members to identify and access data sources and documenting data using standard templates. The engineer will create tables and databases for data science projects under senior guidance assist in coding solutions into production systems and acquire data to measure solution effectiveness. The role requires using data querying tools to extract transform and stage data analyzing datasets of moderate complexity and communicating analytics to senior team members. The ideal candidate is curious eager to learn and committed to their career development actively seeking coaching and incorporating feedback.

Position Responsibilities

• Manage data science infrastructure to streamline model development and deployment
• Architecting developing optimizing and owning the deployment of ML functionalities into production systems
• Design and evaluate new approaches for handling high-volume real-time data streams in an inferencing environment
• Defining best practices for code APIs and frameworks that will lay the foundation for MLOps capabilities
• Working closely with Infrastructure architects to design scalable and cost-effective solutions
• Following Software Deployment and QA processes and MLOps best practices
• Develop measurements and feedback systems
• Mentor associates and peers on DevOps / MLOps best practice

Required Qualifications

• Bachelors degree in Math Computer Science Engineering; or equivalent work experience
• Basic Working knowledge of programming languages and concepts (e.g. Java C SAS SPSS R or Python)
• Basic knowledge of data visualization tools such as Tableau QlikView PowerBI Basic knowledge of data transformation to support BI Reporting

Preferred Qualifications

• Basic knowledge of common database querying languages such as SQL.
• Capability of applying a systematic structured approach to explore / navigate / mine massive amount of data structured or un-structured to uncover hidden patterns / insights.
• Some working knowledge of relational database models (e.g. data vaulting techniques rules tables).
• Basic knowledge in distributed computing - Hadoop / NoSQL / unstructured data
• Basic understanding of different techniques and knowledge of machine learning algorithms.
• Basic knowledge of AI toolkits. Familiarity with basic statistical tests distributions maximum likelihood estimators statistical modelling techniques (regression cluster / factor / principle components decision tree survival analysis etc.)

When you join our team

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

Salary and 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.

Required Experience :

IC

Key Skills

Laboratory Experience,Electrical Engineering,GIS,Raspberry Pi,System Design,C / C++,CAD,Matlab,Mechanical Engineering,Autocad,Microsoft Project,Catia

Employment Type : Full-Time

Experience : years

Vacancy : 1