Top Python Jobs in Toronto

The Senior DevOps Engineer will manage AWS cloud architecture, lead CI/CD initiatives, ensure security compliance, and mentor team members. Responsibilities include designing resilient systems, optimizing infrastructure, and enhancing observability and governance across production environments.

Forward Deployed Engineers at Luma build systems based on customer workflows, defining problems and delivering production solutions using Luma's models and APIs.

The Senior Quality Engineer will develop automated tests, collaborate with teams for CI/CD integration, and enhance software quality in an agile environment.

The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.

Provide technical support for Blue Planet software, troubleshoot issues, collaborate with cross-functional teams, and maintain customer satisfaction.

The Senior Data Platform Engineer will design and operate a unified data platform, ensuring reliable data flows and collaborating across teams to shape data strategy and architecture.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

The Senior Verification Engineer will lead ASIC design verification efforts, develop verification strategies, create test plans, and mentor junior engineers while ensuring coverage compliance.

Analyze subscriber behavior and retention metrics, produce insights for strategy, measure A/B test impacts, and automate reporting with Data Engineering.

The Sr. Signal Integrity Engineer will lead high-speed digital/RF system design, focus on SI analysis, circuit simulation, modeling, and measurements while collaborating with cross-functional teams.

The Staff Data Engineer will architect scalable data systems, enforce engineering standards, mentor teams, and drive real-time analytics at Life360.

The Senior Solution Engineer will engage with customers to understand their complex problems, provide technology demonstrations, support enterprise Proof of Concepts, and collaborate with teams to improve Snowflake products, leveraging their extensive pre-sales experience and technical expertise.

The Senior Software Engineer will develop AI/ML features, build robust APIs, create user-friendly UIs, and integrate AI models into ClickHouse Cloud.

The Analytics Implementation Manager will lead the implementation and validation of analytics infrastructure, ensuring measurement accuracy and reliability across client accounts. Responsibilities include deploying tagging solutions, managing data layers, coding in JavaScript, and collaborating with cross-functional teams to troubleshoot and enhance performance tracking.

The Data Scientist will validate and monitor ML models, design evaluation frameworks, and collaborate on architecture with senior scientists to ensure model reliability and performance.

As a Data Scientist, you will develop analytical and machine learning solutions for credit risk, fraud detection, and customer segmentation, utilizing large datasets to drive insights and decision-making.

The Site Reliability Engineer ensures digital banking platform reliability by automating processes, maintaining service-level objectives, and collaborating with various teams to minimize production risks.

Partner with sales and customer technical teams to design and deliver scalable Databricks Lakehouse architectures, present reference architectures and demos, validate integrations, and drive adoption of data engineering, data science, and ML solutions. Serve as a trusted technical advisor throughout the sales lifecycle and manage delivery of production data solutions.

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

As an iOS Tooling Engineer, you will enhance mobile development systems, manage projects, maintain CI infrastructure, and support iOS applications while collaborating with a team of engineers.

Join Lyft's Mobile Tooling team to create and maintain infrastructure for mobile builds, enhancing productivity with tools and automation for hundreds of engineers.

The intern will research Physical AI, implement algorithms, write scientific papers, and analyze ML trends in AI. Collaboration with researchers is essential.