Top AWS Jobs in Toronto

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning models, lead data analysis, and implement MLOps practices within the AI Core team.

The Digital Product Owner will lead software product development supporting portfolio management in R&D, collaborating with teams, managing the product lifecycle, and ensuring user satisfaction and continuous improvement.

As a Senior Data Scientist, you will design, build, and operate machine learning and GenAI systems, influence technical direction, and mentor junior data scientists, focusing on production ML systems.

Manage and expand strategic relationships with key hyperscaler partners, driving revenue outcomes through co-sell initiatives and partner alignment.

The Data Developer designs data pipelines and optimizes workflows using AWS and GCP, integrating various data sources and developing visualizations to support analytics initiatives.

Lead the design and deployment of AI/ML solutions for grid automation, manage teams, drive innovation, and ensure adherence to architectural standards.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

The role involves developing internal platforms, managing cloud infrastructure, automating CI/CD processes, and enhancing engineering efficiency through full-stack development and platform operations.

Design and architect scalable file and object storage solutions. Lead workshops and POCs, collaborate with product management, and provide competitive insights.

As a Full-Stack Engineer II, you'll own critical product areas, collaborating with teams to enhance Affinity's platform using modern web technologies.

Support and operate identity and platform services with a focus on Customer Identity & Access Management, including troubleshooting, automation, and collaboration with cross-functional teams.

The Applications Support Intermediate Analyst monitors and maintains API applications, manages incidents, and enhances operational tools for better stability and performance. They analyze metrics, troubleshoot issues, and collaborate with development teams to improve services.

Lead the development of scalable full stack applications, involving complex projects and mentoring junior developers, with a focus on high performance and security.

Design and develop complex applications using Java and ReactJS, manage databases, enhance CI/CD pipelines, mentor developers, and resolve technical issues.

The Senior Big Data Pyspark Developer will design, develop, and maintain enterprise software solutions, collaborating with teams to deliver high-quality, scalable, and secure applications using a variety of technologies including Java and Angular.

As an Analyst Software Engineer, you will develop high-performance applications in C#, work on distributed systems, and engage with trading teams to enhance trading tools and infrastructure.

As a Vice President Software Engineer, you will design and develop high-performance software applications, focusing on real-time trading tools and analytics for BMO Capital Markets, utilizing C# and cloud technologies.

Lead the development of AI-powered solutions, drive technical strategy and innovation, mentor engineers, and ensure quality and operational excellence.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

The Data Architect designs, builds, and maintains data infrastructure, implements data pipelines, ensures data integrity, and collaborates with stakeholders on data requirements.

The Senior Data Scientist will develop and deploy machine learning solutions, collaborate with teams, integrate AI capabilities, and ensure ethical AI practices while mentoring junior scientists.

Lead and develop I/DD software solutions, manage engineering teams, ensure timely delivery, mentor engineers, and improve development practices.

As a Data Scientist in Consulting, you will analyze raw data, develop scalable solutions, and drive strategic insights for pharmaceutical clients to enhance patient access and improve operational efficiency.

The DevSecOps Engineer will lead security initiatives by implementing security controls, automating workflows, mentoring juniors, and collaborating with teams on security best practices.

As a Principal Software Developer, you will lead teams to develop high-quality cloud services, design functionalities, conduct code reviews, and enhance product performance while collaborating with cross-functional teams.