Top Python Jobs in Toronto

As an Applied AI Engineer, you'll develop AI solutions using various programming languages, design machine learning algorithms, and consult with clients while performing data analyses and visualizations.

As a Staff Full Stack Software Engineer, you will lead software architecture, mentor junior engineers, and drive innovation in building advanced data analytics software using JVM technologies and React.

Develop and maintain AI projects, design deep learning algorithms, conduct data analyses, deploy machine learning solutions, and support clients with Redis AI-powered solutions.

The Software Engineer will build scalable backend services, optimize performance, and mentor peers, focusing on distributed systems development.

Design and maintain integrations with third-party security platforms, enhance APIs, and develop CI/CD processes for the Censys Platform while focusing on customer needs and emerging technologies.

The role involves consulting on enterprise software development with a focus on process modeling, automation, and orchestration. Responsibilities include conducting workshops and collaborating with cross-functional teams to enhance customer success.

Design and develop scalable backend services and APIs, lead projects, mentor engineers, and enhance cloud infrastructure for Boulevard's platform.

The Senior Platform Engineer II will design and scale backend services and APIs, leading projects to improve platform performance and reliability while mentoring other engineers.

As a Staff Security Engineer, you'll enhance product security through threat modeling, security assessments, testing, and collaboration with engineering teams to protect users' privacy and safety.

As a Senior Software Engineer, you will lead the design of Redis Data Integration software, ensuring high-speed data streaming from various databases while mentoring junior team members.

Join Redis to develop a data streaming pipeline for Redis Enterprise, integrating legacy databases for in-memory data access and leading design of scalable software systems.

Transform business ideas into production-ready applications using AI design tools and full-stack frameworks, with emphasis on frontend development.

The Senior Site Reliability Engineer will enhance platform tooling, automate infrastructure workflows, improve scalability, and support engineering teams in incident response and collaboration.

The GIS Analyst collects, analyzes, and visualizes spatial data while supporting senior analysts with GIS projects and ensuring quality control.

The PostgreSQL DBA will manage, optimize, and maintain PostgreSQL databases, ensuring performance and security while supporting infrastructure scaling and backup recovery strategies.

The Principal Software Developer will lead system design and architecture for Lightspeed's flagship product, mentor engineers, ensure system scalability, and improve development practices.

Join the Quartus Compiler Synthesis team to develop and optimize software for FPGA devices, improve synthesis flow, and enhance usability while collaborating with customers and cross-functional teams.

Develop and maintain scalable cloud-native applications using microservices architecture, conduct validations, mentor team members, and collaborate with cross-functional teams.

Develop and optimize machine learning models for a conversational AI coaching product, ensuring performance and user experience improvements.

As an Applied AI Engineer, you will develop AI-driven leadership coaching solutions, optimizing models for enterprise use, and driving product innovation through generative AI applications.

Analyze platform usage and user interaction to provide insights, develop dashboards, collaborate on data collection, and communicate findings to stakeholders.

The Senior Platform Engineer will design, build, and maintain cloud infrastructure and developer platforms focused on performance, scalability, and security, while optimizing developer productivity through automation and CI/CD improvements.

Internship involves analyzing data, building machine learning models, collaborating with Data Scientists, and presenting insights to drive business strategy.

The Data Scientist II will develop and deploy machine learning models, collaborating with cross-functional teams to design AI systems for various content classification challenges using NLP and generative models.

As a Data Analyst intern at Stripe, you'll work with data scientists to apply analytics on large datasets, drive business impact, and influence strategy through insights and dashboards. You'll gain hands-on experience in a collaborative team and enhance your technical skills under mentorship.