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Python Ai Developer Jobs in Ontario (NOW HIRING)

... using Python and modern ML libraries. Develop and iterate on AI and Generative AI solutions ... Collaborate with senior engineers and business stakeholders to translate problem statements into ML ...

... using Python and modern ML libraries. Develop and iterate on AI and Generative AI solutions ... Collaborate with senior engineers and business stakeholders to translate problem statements into ML ...

AI Developer (REMOTE)

Toronto, ON · On-site +1

CA$84.36K - CA$146.52K/yr

Develop AI-powered applications and intelligent agent solutions using Python and modern AI ... Engineer, test, and optimize prompts to improve response accuracy, consistency, contextual ...

AI Developer (REMOTE)

Toronto, ON · On-site +1

CA$84.36K - CA$146.52K/yr

Develop AI-powered applications and intelligent agent solutions using Python and modern AI ... Engineer, test, and optimize prompts to improve response accuracy, consistency, contextual ...

Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain ...

Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain ...

Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain ...

Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain ...

Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain ...

Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain ...

Collaborate with Data Engineering teams to build and maintain scalable, HIPAA‑compliant data pipelines using Python, SQL, Spark, and Databricks to support healthcare AI use cases * Optimize ...

Staff AI Developer

Oakville, ON · On-site

CA$165K - CA$200K/yr

A multi-tenant, cloud-native SaaS application built with Ruby on Rails (7+) * A Python-based data ... AI-forward engineer who enjoys solving complex problems, working deeply in the code, and ...

Be Seen First

Senior AI Developer/ Full Stack

Toronto, ON · On-site

CA$115K - CA$130K/yr

The Senior AI Developer/Full Stack is a hands-on role within the SalesSuperStar AI team, focused on ... The environment includes FastAPI, Python, React, TypeScript, PostgreSQL, Redis, Kafka, Twilio-based ...

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Python Ai Developer information

What are the key skills and qualifications needed to thrive as a Python AI Developer, and why are they important?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, especially in tech hubs or companies with advanced AI projects.
What are popular job titles related to Python Ai Developer jobs in Ontario? For Python Ai Developer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Python Ai Developer jobs in Ontario look for? The top searched job categories for Python Ai Developer jobs in Ontario are:
Infographic showing various Python Ai Developer job openings in Ontario as of May 2026, with employment types broken down into 13% Internship, and 87% Full Time. Highlights an 87% In-person, and 13% Hybrid job distribution.
Gen AI Developer

Full-time

Posted 6 days ago


Job description

Key Responsibilities

Build and support high-impact data science and machine learning POCs using Python and modern ML libraries.
Develop and iterate on AI and Generative AI solutions, including experimentation, evaluation, and optimization.
Collaborate with senior engineers and business stakeholders to translate problem statements into ML,AI approaches.
Perform data exploration (EDA), feature engineering, and model performance analysis.
Assist in creating and maintaining end-to-end ML pipelines including training, validation, and basic deployment.
Support model deployment and monitoring for pilot or pre-production environments.
Document solution design, experiments, and outcomes clearly and consistently.

Primary Skills

AI, ML  Generative AI Knowledge Expectations
Strong foundational understanding of machine learning concepts, including supervised and unsupervised learning, feature engineering, model training, validation, and evaluation.
Good knowledge of commonly used ML algorithms (linear/logistic regression, decision trees, random forests, gradient boosting, clustering) and appropriate use cases.
Understanding of the end-to-end ML lifecycle, from data preprocessing and experimentation to deployment basics and monitoring.
Solid conceptual and hands-on knowledge of Generative AI and Large Language Models (LLMs), including tokenization, embeddings, prompt engineering, and inference patterns.
Familiarity with LLM-based solution patterns such as summarization, question answering, text classification, chatbots, and retrieval-augmented generation (RAG).
Awareness of model fine-tuning approaches SFT, parameter-efficient tuning and when to prefer fine-tuning versus prompting.
Understanding of responsible AI principles, including bias, explainability, data privacy, and model limitations.
Ability to learn, experiment, and apply new AI frameworks, libraries, and cloud AI services with minimal supervision.

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Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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