Top Python Jobs in Toronto

The Senior Machine Learning Engineer will develop and implement machine learning solutions, ensuring scalability, security, and adherence to best practices while collaborating with cross-functional teams.

The role involves developing NLP solutions leveraging AI/ML techniques for healthcare, collaborating with various teams, and mentoring on advanced methods.

The Principal AI Architect will define AI strategy and enterprise architecture, designing scalable AI solutions and leading architectural decisions across the organization.

Responsible for developing infrastructure for ML models, data pipelines, leading teams, ensuring compliance, and driving continuous improvement in data engineering practices.

The Machine Learning Engineer will create scalable ML systems, build production data pipelines, and ensure robust deployment and monitoring of solutions.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.

As a DevOps Engineer, you will create automation for a new managed service product in AWS focusing on GitOps solutions and ArgoCD.

Lead engineering efforts, manage technical teams, ensure software quality, drive automation, and guide product strategies in machine learning security.

The role involves operating and scaling Kong's SaaS platform, building automated infrastructure, optimizing multi-region data layers, enhancing observability, and ensuring reliability across services.

The Performance Engineer - Inference will optimize model inference speed and throughput, debug low-level kernel performance, and develop tools to visualize performance data.

Design and develop embedded firmware and SDKs for connectivity SoCs, collaborating with teams and ensuring firmware quality through testing and debugging.

Develop and execute test plans and automated testing, mentor junior QA engineers, and ensure software meets quality standards and customer requirements.

The Senior Analyst will develop vertical-specific advertising solutions, work with cross-functional teams, and analyze data to drive marketing performance improvements.

Lead complex, enterprise data implementations end-to-end, act as technical escalation, design scalable ingestion/onboarding solutions, establish playbooks and tooling, drive automation, mentor implementation engineers, and represent ODAIA with customers.

Lead the design and evolution of a Customer Data Mart, ensuring scalable and secure architectures, partnering with stakeholders to meet business objectives, and mentoring engineering teams.

Lead large-scale AI/ML projects, deliver end-to-end solutions, drive technical innovation, mentor teams, and ensure quality and agility in software development.

The Prompt Engineer will test AI-generated outputs related to medical data, provide feedback for improvements, ensure quality, and create SOPs for testing processes.

As a Senior Data Implementation Engineer, you will oversee complex customer implementations, build automated ETL workflows, define data validation frameworks, and mentor junior engineers while ensuring compliance with data security regulations.

The Senior Data Scientist will develop growth strategies, build predictive models, and foster a data-driven culture while leveraging expertise in ML and statistical analysis.

The Sr Cloud Engineer designs and manages cloud infrastructure, ensuring security and efficiency while collaborating across teams and optimizing resources.

The Senior Software Engineer, AI will develop and maintain AI/ML features, implement models, and collaborate on innovative solutions within a cross-functional team.

As a Strategy & Operations Manager at Venn, you'll tackle complex problems, develop solutions for product quality enhancement, and drive operational KPIs in a fast-growing fintech environment.

As a Senior Data Engineer, you'll develop data pipelines, optimize Databricks solutions, ensure data governance, and collaborate within an Agile team to enhance Citco's data infrastructure.

As a Data Engineer, you will develop data pipelines on Databricks, optimizing ETL/ELT processes, ensure data governance, and collaborate with stakeholders to transform financial data into actionable insights.

As a Senior QA Engineer, you will ensure quality in software for financial services through automated and manual testing, participating actively in Agile team processes.