Top Python Jobs in Toronto

As a Senior Software Engineer, you will design and implement complex systems, modernize legacy platforms, mentor other engineers, and support internal operations.

The AI Solution Engineer will design and implement AI solutions, develop workflows, collaborate with teams, and maintain AI systems to enhance decision-making and automation.

Responsible for timing constraints development, STA, timing closure, and driving backend digital execution for ASIC solutions in photonics. Collaborate with teams on timing analysis, manage constraints, and document best practices.

Lead development of full-stack web applications, making architectural decisions, collaborating with teams, writing clean code, and refining products post-launch.

This role involves building detection capabilities, optimizing queries, automating workflows, and translating threat intelligence into actionable security analytics across logging platforms.

As a Senior DevSecOps Developer, you'll enhance the infrastructure platform's reliability and security, support product teams, and automate operations while focusing on cybersecurity measures.

The Senior Data Analyst will manage client-facing reports, ensuring data quality and building reliable analytics products while collaborating with various teams.

The analyst will provide risk insights, develop risk analytics programs, support investment risk reporting, and build relationships with investment teams.

This role provides oversight for Client Due Diligence (CDD), ensuring compliance with regulatory standards, improving processes, and engaging stakeholders in Capital Markets.

As a Senior AI Engineer, you'll design and implement distributed systems for real-time marketing. Your focus will include developing APIs, applying machine learning and LLMs, and collaborating across teams to enhance product features.

Lead the development and delivery of enterprise data products, aligning KPIs, driving operational excellence, and supporting decision-making across various business functions.

As a Pricing Analyst, you will analyze pricing data, provide insights for profitability, and support commercial operations through data-driven decisions and reporting.

Implement and manage cloud infrastructure and DevOps best practices with a focus on AWS Bedrock AgentCore. Collaborate with teams to enhance CI/CD pipelines, monitor system reliability, and improve documentation.

The Senior Applied Scientist will design, build, and deploy AI solutions for document understanding in the legal domain, leveraging NLP and deep learning methodologies. This role involves collaborating with product teams, advancing model capabilities, and ensuring robust training and evaluation methodologies.

Drive AI-enabled ASIC development methodology by identifying cross-stage bottlenecks, building data pipelines and metrics, creating automation and AI models, mentoring engineers, and evaluating advances in AI and EDA to improve predictability, convergence, and cycle time.

The Data Scientist III role involves delivering strategic insights, driving digital leadership, and mentoring peers within the AI2 analytics team, focusing on digital strategy and advanced analytics.

Build and maintain data pipelines and models for Financial Services, ensuring data quality, availability, and documentation. Collaborate across teams, automate testing and CI/CD, define standards and roadmap, and mentor junior engineers.

The software engineer will design, develop, and manage the Confluent Cloud network data plane, focusing on performance and reliability in cloud environments.

The Senior Data Analyst will enable strategic decision-making through data analysis, reporting, and collaboration with stakeholders to ensure high-quality data integrity.

Manage long-term customer integrations, coordinate between customers and engineering, triage and debug issues (logs, cURL/Postman), maintain project trackers and documentation, deliver training, meet SLAs, participate in on-call rotation, and submit bug reports and feature requests.

Design, build, and operate backend platform services and secure APIs powering consumer health products. Integrate with EMR/EHR systems using HL7 FHIR (Epic/MyChart), implement Databricks data workloads, ensure CI/CD and infrastructure-as-code, maintain observability and testing, produce developer docs, mentor engineers, and collaborate across product and customer teams.

The Data & Deployment Engineer coordinates EMS software and data pipeline deployment, manages CI/CD processes, and supports integration between data and hardware teams, ensuring project success.

The Technical Solutions Manager oversees EMS products, drives integration, and leads digital transformation initiatives to enhance workflows and system performance.

As a Senior Full-Stack Engineer at Retell AI, you'll develop scalable systems and intuitive interfaces, bridging backend integrations with frontend experiences, focusing on voice automation solutions.

The role involves building production ML models for voice AI, focusing on fine-tuning, deploying, and evaluating models to enhance human-like interactions.