Machine Learning Engineer

Manulife Financial; Toronto; On-site; CAD 75,000 - 141,000; Full time

Job summary

An innovative financial services firm is seeking Machine Learning Engineers to join their Group Advanced Analytics team. In this role, you will leverage your programming expertise and data science knowledge to package models, automate workflows, and operationalize analytics solutions. You'll collaborate with talented Data Scientists and Engineers to design efficient machine learning pipelines, optimize models, and integrate them into existing systems. This position offers a unique opportunity to work in a hybrid environment, fostering a culture of continuous learning and professional development. Join a team that values diversity, equity, and inclusion while making a significant impact in the financial sector.

Benefits

Health Insurance

Dental Insurance

Mental Health Benefits

Flexible Work Policies

Professional Development Opportunities

Paid Time Off

Retirement Savings Plans

Employee Assistance Programs

Qualifications

• Hands-on experience with large-scale systems in software engineering.
• Strong programming skills in Python and experience with ML libraries.

Responsibilities

• Collaborate with Data Scientists to design scalable machine learning pipelines.
• Deploy machine learning models into production and monitor performance.

Skills

Python

Machine Learning

Data Science

DevOps

SQL

Big Data Processing

REST APIs

MLOps

Agile Methodologies

Education

Bachelor's Degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Flask

Azure

Docker

Kubernetes

Jenkins

DataBricks

Job description

The Opportunity

The Machine Learning Engineers will be a part of the Group Advanced Analytics team and will be tasked with packaging models, automating workflow, and operationalizing analytics solutions to generate business value to various parts of the JH/Manulife. The ideal candidate must be a sophisticated programmer with a good understanding of Data Science, Data Engineering, application development, software engineering, and DevOps.

Responsibilities

• Collaborate with Data Scientists and Data Engineers to design 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.
• Stay up-to-date with the latest advancements in ML & AI.
• Mentor associates and peers on MLOps standard practices.

How will you create impact?

The MLEs work as part of a central team, supporting other Data Science teams within the Group Advanced Analytics with all new development and deployments. MLEs are responsible for infrastructure and deployment support, operationalization and MLOps, and establishing standardized methodologies across the teams.

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

• 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 datasets using Spark.
• Experience with Large Language Models (LLMs) such as GPT-3 or BERT.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Expertise in delivering analytics & machine learning products, with a deep understanding of agile product delivery in an enterprise environment.

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 work-life balance.
• Professional development and leadership opportunities.

Our commitment to you

• Values-first 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 partners and has a positive social and environmental impact.

Primary Location: Toronto, Ontario

Working Arrangement: Hybrid

Salary range is expected to be between $75,880.00 CAD - $140,920.00 CAD

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.