Principal Machine Learning Engineer Technology Full time the company is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. As a Principal Machine Learning Engineer, you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products.

You will work closely in AI Sidekick team and business teams to translate advanced ML and LLM capabilities into reliable, production‑grade solutions across multi‑cloud environments including GCP, AWS, and Azure. This role blends applied machine learning, software engineering, and MLOps, with a strong focus on building robust, scalable systems rather than purely academic research. Design, develop, and deploy machine learning and Large Language Model (LLM)–based solutions for production use cases Collaborate with Generative AI Center of Excellence leaders and business stakeholders to evaluate buy vs. build decisions for generative AI applications Develop end-to-end ML pipelines, covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring Optimize ML workflows for performance, scalability, reliability, and cost efficiency in cloud environments (GCP, Azure, AWS) Containerize ML services and deploy them using Docker, Kubernetes, App Engine, or virtual machines Deploy and manage models in production, conduct A/B testing,



and measure performance improvements using statistical methods Build and deploy classical ML models (regression, classification, clustering), NLP applications (sentiment analysis, summarization, Q\&A;, chatbots, information retrieval), and computer vision solutions (image classification, object detection, segmentation using models such as YOLOv7, DDRNet, RFTM with datasets like COCO and Cityscapes) PhD with 5+ years, Master’s with 6+ years, or Bachelor’s with 7+ years of experience in Machine Learning, Computer Science, Data Science, or a related field Strong proficiency in Python for machine learning and production systems Solid understanding of software engineering fundamentals, system design, and design patterns Hands‑on experience with at least one major cloud platform (GCP, Azure, or AWS) Experience building and deploying production‑grade ML systems Strong communication skills with the ability to explain technical concepts and results to both technical and non‑technical stakeholders Canada - Toronto Office TRO : 154,000 - 232,000 CAD / Annual Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.

Individual pay is based on additional factors including job‑related skills, experience, and relevant education and/or training.



The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Employee Assistance Program An Employee

Assistance program is available to all employees.

Canada Core Advantages

- Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members.
- Retirement: You may also enroll in the company-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax‑Free Savings Plan (TSFA).
- Vacation and Paid Holidays: the company offers both vacation and personal time, along with various paid holidays for you to rest and recharge. the company is committed to ensuring that our employment process is open to all individuals, including those with a disability. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. We use artificial intelligence in our hiring process.

📌 Principal Machine Learning Engineer (Python) (Toronto)
🏢 United States Digital Space
📍 Toronto