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Python Ai Jobs in Ontario (NOW HIRING)

Palona AI

AI Infrastructure Engineer

Toronto, ON · On-site

Palona's AI agents operate continuously in production, handle real-time guest interactions ... Our current environment includes Python services, Docker, AWS and selected Azure services, ECS and ...

Palona AI

AI Infrastructure Engineer

Toronto, ON · On-site

Palona's AI agents operate continuously in production, handle real-time guest interactions ... Our current environment includes Python services, Docker, AWS and selected Azure services, ECS and ...

Palona AI

AI Software Engineer, Product

Toronto, ON · On-site

Our stack includes Python and FastAPI services, PostgreSQL, TypeScript, React and Next.js ... Build and ship end-to-end AI product experiences from problem discovery and prototype through ...

Palona AI

AI Software Engineer, Product

Toronto, ON · On-site

Our stack includes Python and FastAPI services, PostgreSQL, TypeScript, React and Next.js ... Build and ship end-to-end AI product experiences from problem discovery and prototype through ...

Citi

Python Full Stack Developer - VP

Mississauga, ON · On-site

CA$170/hr

Experience in full stack application development with strong expertise in Python and Java Deep ... Our automated processing and AI do not involve relying on automatic or autonomous decision-making.

YO AI Labs

AI Trainer - Remote

Toronto, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Trainer - Remote

Ottawa, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

YO AI Labs

AI/ML Engineer - Remote

Ottawa, ON · Remote

$200 - $350/hr

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

Musashi AI North America

A technology firm in Ontario seeks a Staff AI Engineer to lead the deployment and integration of AI ... Candidates should possess deep knowledge of computer vision, Python, C++, and frameworks like ...

YO AI Labs

AI Software Engineer - Remote

Ottawa, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Technical Trainer - Remote

Ottawa, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

YO AI Labs

AI Technical Trainer - Remote

Toronto, ON · Remote

$80 - $120/hr

No prior AI experience is required. Key Responsibilities * Create reinforcement learning ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

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Showing results 41-60

All JobsPython Ai JobsPython Ai Jobs in Ontario

Python Ai information

See Ontario salary details

$38K

$129.4K

$214K

How much do python ai jobs pay per year?

As of Sep 2, 2026, the average yearly pay for python ai in Ontario is $129,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $173,500.00 per year, depending on experience, location, and employer.

What is a Python AI?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What does a Python AI do?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.

What skills and qualifications are needed for a Python AI?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

Can you do AI with Python?

Python AI refers to roles involving the development and implementation of artificial intelligence using Python programming. These jobs typically require knowledge of machine learning libraries like TensorFlow or PyTorch, data analysis skills, and experience with algorithms. Python's simplicity and extensive ecosystem make it a popular choice for AI development in various industries.

What are popular job titles related to Python Ai jobs in Ontario?

For Python Ai jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Python Ai jobs in Ontario look for?

The top searched job categories for Python Ai jobs in Ontario are:

Python Ai jobs near you
Infographic showing various Python Ai job openings in Ontario as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $129,423 per year, or $62.2 per hour.

AI Infrastructure Engineer

Palona AI

Toronto, ON • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Palona’s AI agents operate continuously in production, handle real-time guest interactions, integrate with restaurant systems, and face sharp traffic peaks. Infrastructure is therefore part of the product: latency, reliability, deployment safety, observability, security, and cost directly shape the guest and operator experience.

We are looking for an Infrastructure Engineer who combines cloud and reliability depth with strong software engineering judgment. You will build and operate the platform beneath Palona’s AI products, improve how engineers ship, and turn production signals into durable system improvements. This is not a ticket-driven IT or operations role. You will write production code, design systems, automate repetitive work, and own outcomes across the full service lifecycle.

Our current environment includes Python services, Docker, AWS and selected Azure services, ECS and Lambda workloads, API Gateway, load balancers, relational data systems, OpenTofu/Terraform, Datadog, and CI/CD automation. We value the ability to learn and make sound tradeoffs more than exact tool-for-tool matching.

What you will own:
  • Design, build, and evolve secure, scalable cloud infrastructure for real-time AI services and customer-facing applications.
  • Improve service reliability through clear SLOs, actionable observability, capacity planning, failure testing, and pragmatic incident prevention.
  • Build deployment and release systems that make production changes fast, repeatable, auditable, and safe.
  • Own infrastructure as code, environment consistency, and reusable platform patterns across development, staging, and production.
  • Partner with product and AI engineers on architecture, performance, data flows, and operational readiness for new capabilities.
  • Diagnose complex distributed-system failures across application, network, database, model-provider, and third-party integration boundaries.
  • Reduce infrastructure and model-serving cost without compromising customer experience or engineering velocity.
  • Strengthen secrets management, access controls, backup and recovery, vulnerability management, and other practical security foundations.
  • Build internal tooling and paved paths that let engineers ship and operate services with less manual work.
  • Participate in incident response and turn incidents into better systems, automation, documentation, and engineering judgment.

Requirements

  • 3+ years industrial experience in relevant technical domain.
  • Strong software engineering fundamentals and experience building or operating production distributed systems.
  • Hands-on experience with a major cloud platform; AWS experience is especially relevant.
  • Experience with containers, infrastructure as code, CI/CD, monitoring, alerting, and production debugging.
  • Ability to write reliable automation and services in Python or another modern programming language.
  • Sound judgment around availability, latency, scalability, security, and cost tradeoffs.
  • A track record of taking ambiguous operational problems from diagnosis through durable resolution.
  • Clear communication during architecture reviews, launches, and incidents.
  • AI-native working habits and curiosity about the operational behavior of LLM- and agent-powered systems.

Benefits

  • Competitive Salary and Stock Option Plan.
  • Medical, dental, vision, retirement, leave, and disability benefits as applicable.
  • Family Leave
  • Short Term & Long Term Disability
  • Paid time off and company holidays.
  • Learning and development support.