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About the Role

As a Senior Machine Learning Engineer, you will be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives. You will create scalable, dependable, and secure machine learning solutions, craft and sustain technical outputs like design documentation and representative models, and contribute to establishing machine learning best practices, technical standards, model designs, and quality control, including code reviews.

Responsibilities

Be part of the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives.
Create machine learning solutions that are scalable, dependable, and secure.
Craft and sustain technical outputs such as design documentation and representative models.
Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews.

Requirements

At least 2 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.
A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.
A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles.
Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products.
Strong Python programming skills is required.
SQL, and data modeling expertise, with DBT considered a plus.
Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries.
Experience in leading and supporting engineering teams.
Robust background in crafting data science and machine learning solutions.
A creative, resourceful, and effective problem-solving approach.
Provide expert oversight, guidance on implementation, and solutions for technical challenges.
Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services.
Promote a team-focused culture that values information sharing and diverse viewpoints.
Cultivate an environment of continual enhancement, learning, innovation, and deployment.

Skills

Machine Learning
Recommender Systems
Data Processing
Machine Learning Infrastructure
DevOps/MLOps
Cloud Technologies (AWS SageMaker preferred)
AWS Services
AWS Networking
AWS Security Principles
Machine Learning Orchestration
Python
SQL
Data Modeling
DBT
Spark
Airflow
PyTorch
Scikit-learn
Pandas
Keras
ML Libraries

Location

Ontario, Canada

Work Type

Hybrid
Work from anywhere for up to 8 weeks per year

Experience Level

Senior
At least 2 years of experience in addressing practical machine learning challenges
A minimum of 2 years of experience with cloud technologies

Salary/Compensations

$100,000 CAD - $145,000 CAD

Benefits

Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing

About the Company

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.
To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.