Machine Learning jobs in Markham

Machine Learning Architect Jarvis is currently seeking an experienced Machine Learning Architect to lead the technical delivery of production-grade machine learning solutions for our clients. This is a hands-on engineering role with strong ownership expectations. Your primary responsibility is build

Job Description What is the opportunity? Are you passionate about building real-world machine learning solutions? RBC is looking for a Machine Learning Developer to help build and deploy ML and AI applications that solve problems in risk management. You'll work alongside experienced data scientists

Job Description What is the opportunity? Are you passionate about building real-world machine learning solutions? RBC is looking for a Machine Learning Developer to help build and deploy ML and AI applications that solve problems in risk management. You'll work alongside experienced data scientists

About the Company You'll join a collaborative, fast-paced team working on cutting-edge ML problems that directly impact how millions of Canadians shop. We offer competitive compensation, continuous learning opportunities, and the chance to work with the latest technologies in machine learning and AI

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Primary Skill /s - Machine Learning to Customer Marketing initiatives -Python and libraries like PySpark, TensorFlow, PyTorch, and Scikit-learn big data ecosystems (e.g., Hadoop/Spark) and cloud platforms (e.g., Azure, AWS, GCP) Required Skills & Qualifications • Strong programming skills in Pyt

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s

Wiser Solutions

Company Description Wiser Solutions is a suite of in-store and eCommerce intelligence and execution tools. We're on a mission to enable brands, retailers, and retail channel partners to gather intelligence and automate actions to optimize pricing, marketing, and operations initiatives, both in-store

Application Deadline 05/14/2026 Address 33 Dundas Street West Job Family Group Data Analytics & Reporting This is a 12 month contract hybrid role requiring time in the Toronto office Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligen

Summary Join Guidewire’s Product Strategy team, where we drive operational excellence and transformative innovation by embedding AI and GenAI across our product portfolio. Our mission is to deliver secure, scalable, and efficient solutions that create measurable value for customers, with a collabora

This is a 12 month contract hybrid role requiring time in the Toronto office Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constru

Who you are At least 3 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 2-3