Senior Machine Learning Engineer

Thomson Reuters • Toronto, ON

19d • Hybrid

About The Position

This position is open due to an existing vacancy to support our evolving business needs. Thomson Reuters is seeking a Senior Machine Learning Engineer who will create the machine learning solutions development and technical implementation including configuration and integration to ensure it meets business, product, and recommender system expectations. They will also build scalable machine learning solutions that are reliable, resilient, and secure. 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. Create machine learning solutions that are scalable, dependable, and secure.

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.
• 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.

Nice To Haves

• DBT considered a plus.

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.
• 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.

Benefits

• Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees