Top Python Jobs in Toronto

The Application Support Engineer is responsible for L2/L3 support in a cryptocurrency trading environment, managing incidents, user support, and optimizing processes for system stability.

Build and operate low-latency, secure cloud and edge systems for real-time video streaming, AI analysis, and remote control of industrial devices. Ensure reliability, testing, deployment, and work closely with hardware and ML teams.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

As Applied Analytics Lead, drive customer impact through analytics, guide product development, manage customer relationships, and scale analytical capabilities to enhance utility operations.

As a Backend Engineer at Brain Co., you will design, build, and operate backend services and data pipelines for AI products, focusing on robustness and scalability. You'll collaborate across teams and own the full service lifecycle while ensuring high availability and performance. You should have 3+ years of experience in production backend systems and a strong foundation in APIs and distributed systems.

The Key Customers Solutions Architect supports GPU Cloud service customers by optimizing AI solutions, managing GPU workloads, and enhancing customer relationships through technical guidance.

As a DevSecOps Lead, you'll embed security into products, pipelines, and workflows for CI/CD applications, ensuring secure and efficient software development with a focus on Azure and automation.

The Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.

Own end-to-end ML projects focused on recommendation and LTV signals: develop, evaluate, and deploy models; build training/scoring pipelines; run A/B tests; monitor production models; collaborate with product and analytics; mentor colleagues.

The GTM Engineer will enhance and manage enrichment infrastructure, scoring pipelines, and event tooling while writing production code and ensuring data accuracy within GTM operations.

The Developer Experience Engineer will own and enhance SDKs and open-source projects, build developer tools, and improve the overall developer experience while engaging with customers for feedback.

As a Senior DevOps Engineer, you'll build and manage cloud infrastructure, optimize CI/CD pipelines, collaborate with teams on compliance, and lead incident resolutions.

Provide L2/L3 IT support, manage Azure services, corporate network devices, Active Directory, and cloud infrastructure, ensuring reliable IT Security systems while collaborating in a global team.

The Technical Product Solutions Lead will design, develop, and implement configurations for Luma Solutions, focusing on data models, workflows, and user training while ensuring quality and adherence to best practices.

The Software Engineer will build scalable backend services, optimize performance, and mentor peers, focusing on distributed systems development.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As a Founding Engineer, you'll develop backend systems, optimize applications, and influence technical direction for an AI-powered knowledge platform.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

The Senior/Principal ML Engineer will build digital infrastructure for computational workloads, focusing on model iteration, deployment, and collaboration with scientists. Responsibilities include developing ML workflows, defining CI/CD pipelines, and mentoring team members.

The Full Stack Software Engineer will develop user experiences across web and mobile, integrating frontend and backend systems, manage APIs and databases, and ensure code quality through testing.

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.

This role leads compliance automation within the GRC function, managing integrations, designing AI-driven workflows, and ensuring continuous compliance monitoring and risk management.