Top Python Jobs in Toronto

The Software Engineer for Data Infrastructure & Acquisition will manage data collection for model training, optimize ingestion pipelines on GCP, and collaborate with the AI team to enhance data quality and scalability.

Join the Blocks team to develop and maintain the backend core infrastructure of Pigment's SaaS platform, ensuring scalability and performance. Collaborate with multiple teams to deliver impactful solutions.

Develop innovative quantitative models impacting trading strategies, accuracy, and risk management using large-scale financial datasets and advanced analytics.

The role involves leading the modernization of the Sophis platform by improving architecture, performance, and scalability, while utilizing AI-assisted development tools. It requires designing solutions in C#, C++, and Python across various systems and has a focus on collaboration and DevOps practices.

Develop and maintain innovative tools and dashboards for sales and trading to enhance workflows, analytics, and decision-making in capital markets.

Lead the development of sales technology platforms, manage architectural decisions, coordinate teams, and ensure scalable and efficient solutions.

The Senior Staff Developer at Benevity will lead full-stack development initiatives, ensure security best practices, mentor developers, and shape the technical strategy across teams.

Join the SOTA Training Platform team to bring up ML models on Cerebras systems, enhancing performance across the software stack and debugging issues.

The DevOps Engineer will design, build, and enhance cloud and automation platforms, collaborating with development teams to implement secure and scalable DevOps solutions.

The Senior Data Engineer will scale the data ecosystem, construct data models, build systems for KPI tracking, and ensure data safety.

Join the Quartus Device Modeling organization to tackle software and hardware challenges in FPGA development, focusing on data abstraction, complex algorithms, and AI/ML integration.

The Lead Platform Engineer will design and develop a scalable PnL reporting platform, manage infrastructure, optimize performance, and lead automation efforts while ensuring platform stability and security.

As a Senior or Staff Software Engineer on the Localization team, you will design algorithms for state estimation systems, optimizing multi-sensor data fusion for real-time vehicle localization in autonomous driving.

As a Senior Software Engineer on the Mapping team, you will architect and develop robust, scalable systems for autonomous vehicle mapping, collaborating with multidisciplinary experts and handling complex data processing.

The role involves designing and validating data and AI architectures, collaborating with customers, and ensuring scalable, secure solutions are implemented in enterprise environments.

The CX Automation Engineer will lead automation and AI integration in customer journeys, build and optimize workflows, and analyze performance metrics to enhance customer experience and engagement.

The role involves full application lifecycle development, focusing on scalable Microservices, API building, production support, and collaborating with various teams.

The Senior Investment Analyst will support capital reporting and investment analysis, enhance methodologies, partner with stakeholders, and monitor regulatory developments.

As a Research Engineer, you will develop scalable ML solutions, engage in software development, and apply machine learning techniques in a team-oriented environment.

Lead Full Stack Data Engineer responsible for architecting, developing, and optimizing data solutions, mentoring teams, and driving AI integration in data processes.

The Full Stack Developer will develop and maintain Microservices, focus on API building, participate in code reviews, and support production systems, among other responsibilities.

The intern will extract, process, and analyze metadata, develop automation scripts, collaborate on data integrations, and assist with AI initiatives and reporting.

The intern will develop scalable testing solutions, review production code, and communicate testing results while collaborating with development and business stakeholders.

The Data Scientist II will provide analytical expertise, develop insights from digital data, and communicate findings to enhance customer experiences and business outcomes. Responsibilities include collaborating with teams, analyzing customer behavior, and translating data into actionable insights and dashboards.

The Data Scientist 2 will engage in the full data science lifecycle, including data extraction, model development, and deployment to meet business needs.