Top Python Jobs in Toronto

As a Senior Site Reliability Engineer, you'll ensure reliable operations for Guidewire's cloud platform, collaborating with customers and cross-functional teams to enhance performance and automate systems.

The AI Architect will design, code, and deploy hands-on AI solutions, leveraging AWS and Agentic AI patterns while leading technical team growth.

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.

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

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.

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

Lead end-to-end static timing analysis (STA) and timing closure for complex connectivity SoCs from RTL through sign-off. Develop/validate SDC/MMMC constraints, define I/O timing budgets, run multi-corner/multi-mode STA, apply sign-off methodologies at TSMC 7nm+, generate timing ECOs, and collaborate with RTL, physical design, verification, and IP teams to ensure full-chip timing convergence.

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

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

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.

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

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The Senior Data Scientist will drive the development and implementation of advanced statistical methodologies, lead client consultations, and manage complex analyses, while providing innovative analytical solutions and mentoring team members.

Embed with customers to learn their workflows, redesign and build production GenAI/LLM systems on AWS, ship and operate code, evaluate non-deterministic models, and own business outcomes.

Lead Internal Audit Analytics & AI strategy; integrate analytics and AI across the audit lifecycle; develop scalable analytics, automation and responsible AI solutions; manage and mentor an analytics team; provide technical direction for Power BI, Alteryx, SQL, Python and LLM tools; partner with audit and business stakeholders and present insights to senior management.

As a DevOps Engineer, you will create automation for a new managed service product in AWS focusing on GitOps solutions and ArgoCD.

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

The role involves developing infrastructure for benchmarking AI inference performance, analyzing system behavior, designing telemetry systems, and collaborating with teams to improve feature performance.

Manage AI compute clusters, monitor systems health, optimize resources, and troubleshoot technical issues, ensuring high performance for ML applications.

You will prototype and benchmark model innovations, develop automation for experiments, and work with teams on software/hardware integration.

The Senior Product Manager will lead the development of AI-driven solutions to optimize MLR processes and improve compliance for life sciences companies.

Manage and grow a small ML/GenAI engineering team while remaining hands-on: design and implement GenAI systems (agents, RAG, tool use), build NLP solutions (NER, classification, retrieval, summarization), partner with PMs and engineers to scope and ship features, and coach engineers on technical and career growth.

Responsible for timing constraints development, STA and timing closure on CMOS technologies, driving timing sign-off, analyzing power/performance tradeoffs, and running full-chip STA.