Top Python Jobs in Toronto

As a Coherent Optical System Architect, you will develop simulation environments to guide the design and optimization of Nokia's next-gen coherent MODEMs while collaborating with cross-functional teams.

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

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.

The Senior Software Engineer will build and maintain the Boreal hosting platform and Moose open-source project, mentor junior team members, and collaborate with product and design teams.

Build, maintain, and operate cloud-based services and automation for satellite operations. Manage infrastructure, design/deploy critical systems, support microservices and CI/CD workflows, ensure reliability and SLAs, collaborate with cross-functional teams to minimize operational burden and automate satellite operations.

The AI Engineer will design, develop, and deploy AI-powered systems, improve operations with intelligent workflows, and collaborate on high-leverage AI opportunities.

Lead BI reporting and advanced marketing analyses to optimize campaign performance and ROI. Build and maintain dashboards, consolidate and govern data, model insights, and provide strategic recommendations to cross-functional teams. Mentor junior analysts, drive process improvements, and translate complex data for non-technical stakeholders to inform business and marketing decisions.

The Staff Software Engineer at Narvar will drive the architecture of new product platforms and mentor junior engineers while developing scalable distributed systems.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.

The role involves designing and maintaining reinforcement learning environments, developing containerized execution environments, managing integrations, and collaborating with data operations for AI training.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

As an Engineering Lead, you will architect and drive the execution of AI-integrated solutions for enterprise clients, managing multiple projects and ensuring secure, scalable implementations while communicating with technical stakeholders.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Support clients by collecting, cleaning, and analyzing data from multiple sources using Excel, SQL, R or Python. Present insights and data-driven recommendations to clients, collaborate with teams to understand business needs, and participate in professional development while mentoring junior teammates.

Lead design and delivery of analytics, dashboards, and data models for Compensation and Benefits. Partner with Total Rewards, HR, Finance, and Technology to provide actionable insights, drive pay equity and regulatory reporting, and implement automation, data governance, and predictive analytics to improve program effectiveness and decision-making.

The Senior Site Reliability Engineer will ensure reliability and scalability of cloud infrastructure, enhance incident management, and optimize operational efficiencies through collaboration with various teams.

Develop, evaluate, and deploy machine learning models for risk scoring, threat intelligence, and vendor risk assessment. Perform exploratory data analysis on large datasets, validate models for accuracy and scalability, and integrate models into production with engineering and product teams. Communicate findings to technical and non-technical stakeholders and stay current on research and methods.

Lead technical customer success for Cyera's platform: act as primary technical expert, drive onboarding and adoption, design custom use cases, troubleshoot issues, run executive and technical workshops, conduct QBRs, mentor team members, and influence product roadmap to maximize customer ROI and expansion.

Lead design and delivery of cloud-based data architectures and ETL/ELT pipelines for marketing analytics. Advise clients, integrate marketing data, build and optimize pipelines and reusable models, ensure data quality/security, mentor team members, and align technical solutions to business goals.

Design, build, and operate scalable, cloud-native web applications and services for Security Services teams. Collaborate with UX and product teams, integrate AI tools, ensure reliability/performance, use CI/CD pipelines, and deliver production systems that improve security operations.

Lead implementation of enterprise web and app measurement solutions, translating business needs into technical guides, performing QA, auditing analytics deployments, training stakeholders, and recommending scalable, maintainable analytics and tag management practices.

Own the full lifecycle of technical support tickets, troubleshoot networking and application issues, author knowledge-base articles, escalate to engineering, and analyze ticket patterns to improve support processes.