Top Python Jobs in Toronto

As a Senior Backend/Full Stack Engineer, you will build microservices and user dashboards with a focus on backend development in Python and frontend in React. You will also be responsible for creating APIs and SDKs, working collaboratively with product teams and ensuring the quality of code throughout the software lifecycle.

The ML Data Engineer will develop and maintain ETL pipelines for machine learning, focusing on feature engineering, data integration, model training, and compliance. Responsibilities include optimizing data quality and performance, supporting model lifecycle management, and deploying high-performance pipelines for real-time inference.

As a Senior Data Ingestion Engineer, you'll lead the ingestion team, manage ETL/ELT pipelines on the Databricks platform, optimize data pipelines, document integration flows, and ensure compliance with security guidelines. You will also work on data ingestion from various source systems while using tools like Airflow and manage metadata effectively.

The Senior Data Integration Engineer will integrate data from various sources, manage ETL/ELT pipelines using Databricks, and ensure compliance with security guidelines. Responsibilities include designing ETL/ELT processes, scheduling jobs with Airflow, and documenting data flows. Collaboration with various departments to understand business requirements and monitoring data pipelines is also key to this role.

The Senior Manager of Technical Data Steward will lead a data stewardship team, defining requirements, managing logical data models, and ensuring data quality across the enterprise. Responsibilities include collaborating with business leaders, overseeing data cataloging and access controls, and serving as a point of escalation for data issues.

As a Senior Data Scientist, you will develop innovative ML solutions focused on pricing and recommendations. Your responsibilities include designing and implementing ML models, maintaining data infrastructure, collaborating with cross-functional teams, and conducting controlled experiments to validate solutions.

As a Senior Data Scientist at McAfee, you will develop and implement ML models focused on dynamic pricing and personalized recommendations to enhance customer experiences. Your responsibilities include creating algorithms to optimize consumer journeys, engineering data pipelines, and collaborating with cross-functional teams to ensure solutions align with strategic goals.

As a Senior AI/ML Engineer, you will design, implement, and maintain machine learning algorithms and systems, collaborate with cross-functional teams, and integrate AI models into existing applications. You will advocate for best practices within the team while working in regulated environments, and ensure smooth operations by developing RESTful APIs and CI/CD pipelines.

The Principal Systems Software Engineer at Tenstorrent will design and develop software components for next generation RISC-V systems, focusing on AI and ML. Responsibilities include optimizing software, collaborating with teams, troubleshooting issues, and maintaining high-quality standards.

The Applications Development Technology Lead is responsible for establishing and implementing application systems and programs, leading systems analysis and programming activities, designing user-friendly systems, developing data roadmaps, and generating reports. This role involves working closely with stakeholders, maintaining data integrity, and improving reporting processes.

As a Senior Engineering Manager at Labelbox, you will lead the Alignerr engineering team in developing a scalable platform for AI training services. Responsibilities include managing team dynamics, guiding technical execution, collaborating with cross-functional teams, and overseeing project lifecycles. You're expected to have a strong background in full-stack development and AI systems to guide your team effectively.

As an AI Full-Stack Engineer, you'll develop user-friendly interfaces and robust systems, collaborating with engineers and product managers to build components for the Labelbox AI platform. You'll tackle complex challenges, ensure smooth operations, and lead process improvements while documenting technical solutions.

As a Senior Site Reliability Engineer at Carta, you will build and scale internal platforms, design monitoring systems, and collaborate with software engineers to ensure application reliability and performance. You will also drive improvements in global infrastructure systems.

As a Site Reliability Engineer II at Carta, you will build and scale internal platforms, design monitoring systems, and collaborate with software engineers to enhance application reliability and performance. You will drive improvements in infrastructure as the company grows globally.

The Senior Embedded Developer at Geotab will perform firmware development for telematics hardware, utilizing Embedded C, C++, and Rust. Responsibilities include designing and testing firmware, writing SQL queries, conducting code reviews, and debugging issues while adhering to coding standards. The candidate must manage project timelines and facilitate testing in real-world scenarios.

As a Senior Software Engineer I at Emburse, you will enhance customer experiences, solve complex challenges, and design innovative solutions. You will mentor junior developers, follow SDLC processes, and contribute to system design. Your role includes producing quality API documentation and participating in agile development while maintaining software quality. You will also engage in code reviews and advanced refactoring.

As a DevOps Engineer ll, you will develop software to integrate internal systems, ensure code quality, and monitor server health. Responsibilities include incident response, building automation tools, mentoring developers, and maintaining system reliability and scalability, among other tasks.