Top Python Jobs in Toronto

The role involves designing and implementing agentic applications, experimenting with methodologies in AI, and enhancing human-AI interactions while collaborating with researchers and designers.

Develop and maintain power communication protocols while troubleshooting communication issues and integrating into company platforms. Prepare documentation and support validation testing.

Design, integrate, and test robotic and electromechanical systems for a medical device: develop mechanisms, select and integrate motors/sensors/encoders, create CAD and BOMs, build and test prototypes, debug hardware/firmware, develop automated and HIL test systems, and work with suppliers and cross-functional teams to improve reliability and manufacturability.

The Manager of Data Operations will lead a team to ensure the reliability and scalability of data platforms, enforce operational standards, and implement CI/CD practices. Responsibilities include monitoring data quality, incident management, and collaborating with various teams to enhance data operations.

The Senior Analyst, Actuarial will drive innovation in actuarial science, build AI models, and resolve complex problems while guiding the team.

The Actuarial Consultant will lead strategic projects, mentor analysts, and contribute to business strategy, focusing on areas like ratemaking and data science.

The Senior Actuarial Analyst will resolve complex problems using actuarial knowledge, work on strategic projects, improve processes, and coach team members.

The Software Engineer will design and build secure and scalable backend services, APIs, and integrations, collaborating with cross-functional teams to deliver impactful solutions.

The Principal Data Engineer at RAVL will design and implement enterprise-grade data and AI platforms, mentor engineers, and influence architectural standards across teams.

As a Technical Lead, you'll guide teams in delivering software and data engineering projects, mentor engineers, and ensure technical excellence in solutions while collaborating with stakeholders.

The Data Engineer will design and manage data pipelines and architectures, ensuring data quality and security while collaborating with cross-functional teams for effective analytics and reporting.

As a Platform Engineer at RAVL, you will design and deliver cloud platforms, automate environments, implement CI/CD, and collaborate with teams to enhance developer experience.

The Automation Technical Lead oversees performance testing, particularly for IPTV solutions across various platforms, utilizing tools and languages such as Java and Python.

Develop and implement AI risk assessment and pricing frameworks by evaluating AI models, creating rating tables and pricing models, collaborating with underwriters, building Python-based analytical tools, and researching emerging AI risks and mitigation strategies.

Conduct research into AI model behavior and failure modes; design and build models, agents, and automated evaluation pipelines to assess AI risk; develop production-grade tooling for continuous monitoring and model testing; create novel risk metrics; collaborate with underwriting and actuarial teams to translate findings into pricing signals; prototype and deploy robust, well-tested systems while communicating results to technical and non-technical stakeholders.

Design, build, and maintain adversarial AI evaluation platforms and AI pipelines. Implement software engineering best practices for ML, integrate UI/UX, deploy on major cloud providers, and collaborate cross-functionally to improve model robustness and product infrastructure.

As a Forward Deployed Engineer, you will develop and maintain ML solutions, collaborate with teams on AI/ML pipelines, and manage projects end-to-end.

Design and implement RDMA/InfiniBand networking primitives for distributed GPU inference, optimize communication for Disaggregated KV Cache and WideEP, enable sub-10s model startup, validate hardware performance on H100/H200/B200/B300/GB300 clusters, build observability tools, and optimize or author communication kernels (NCCL/NVSHMEM/UCX).

As a Software Engineer, you'll build and maintain Baseten's core product, design APIs, implement features, fix issues, and collaborate with teams.

Develop and maintain components for machine learning inference platform. Focus on Kubernetes deployments, resource management, and performance monitoring.

Lead the design of generative AI solutions and multi-cloud architectures, translating business use-cases into scalable systems for enterprise deployments.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

The DevOps Engineer will optimize cloud computing solutions, enhance infrastructure performance, ensure high availability, and manage CI/CD tools while collaborating with development teams.

The Associate AI Engineer will assist in building AI-powered backend services, integrating APIs, and developing data pipelines while collaborating with experienced engineers and teams.

The Senior Systems Developer will automate processes, build integrations, manage infrastructure utilizing modern tools, and mentor junior team members while enhancing automation strategy.