Top Python Jobs in Toronto

Research new style Network Filesystem storage, develop metadata management service, perform system testing, and drive root cause identification in storage environment. Participate in team meetings and report progress.

Lead verification of AI/HPC SoCs, develop verification architecture using System Verilog and UVM, and analyze designs for test strategies.

Lead micro-architecture and RTL development, collaborate with teams on ASIC design, and mentor junior members for CXL products.

The role involves optimizing marketing acquisition through advanced measurement frameworks, attribution strategies, web analytics, and collaboration with technical teams, focusing on data-driven decision-making for growth.

As an Applied Machine Learning Scientist, you will develop and deploy ML solutions, collaborate with teams, and communicate complex results to stakeholders.

The Senior DevOps role involves building scalable cloud infrastructure, managing CI/CD pipelines, automating processes, ensuring reliability, and mentoring engineers.

The Java Technical Lead will develop solutions using agile methods, lead systems analysis and programming, and coach mid-level teams while ensuring compliance with standards and enhancing system processes.

The Senior Java Developer will lead application systems analysis and programming, focusing on innovative solutions in a collaborative environment, utilizing Agile and DevOps methodologies.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

The Software Development Engineer will design, build, and deliver AI-powered commerce solutions, collaborating across functions and participating in design reviews.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

The researcher will develop and evaluate AI/ML models, prototype innovative solutions, and collaborate to enhance product capabilities for smart devices.

Design and build the core platform for developing and operating AI agents at scale, focusing on reliability, observability, and automation.

As a Data Analyst, you will analyze user behavior and product performance, creating reports and dashboards to aid decision-making and optimize user experience.

The Product Analyst will analyze product data to identify trends, enhance user experience, and collaborate with teams to improve product features.

As a Database Administrator at Air Apps, you will manage and optimize complex databases, ensuring performance, security, and data integrity while collaborating closely with engineering teams.

As a QA Automation Engineer, you will develop automated test frameworks, execute tests, collaborate with teams, and enhance application quality.

The AI/ML Engineer will design, develop, and optimize machine learning models for mobile applications, collaborating with teams to enhance user experiences and innovate in AI-driven solutions.

The Data Engineer will analyze and interpret data to drive insights, create dashboards, and enhance product performance, collaborating with cross-functional teams.

As a Product Analyst, you'll analyze product and user data, benchmark competitors, develop performance reports, and collaborate on product improvements through data-driven insights.

As a Data Analyst at Air Apps, you'll analyze user behavior and product performance, create reports and dashboards, and provide actionable insights using data visualization tools and programming languages.

Manage, optimize, and secure large-scale databases, work with engineering teams to design and maintain high-performance database systems, and ensure data integrity and security.

The AI/ML Engineer will develop and optimize machine learning models, work with cross-functional teams, and enhance mobile app features.

As an AI/ML Engineer, you'll develop and optimize machine learning models for mobile applications, collaborate with teams, and integrate AI-driven features to enhance user experience.

As a QA Automation Engineer, you will develop and maintain automated test frameworks, create tests, integrate into CI/CD, and ensure application quality.