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Python Ml Developer Jobs in Montreal, QC (NOW HIRING)

About the role We're looking for a Senior AI Developer to join our AI Enabling team. Our mission is ... Strong proficiency in Python and experience with AI/ML frameworks (e.g., LangChain, LangGraph ...

... ML infrastructure. ยท Advanced Python proficiency and strong software engineering fundamentals. ยท Demonstrated ownership of complex ML projects from design through production. ยท Experience scaling ...

Mettre en uvre les meilleures pratiques en ingenierie des caracteristiques (feature engineering ... Excellente maitrise de Python et des frameworks ML (PyTorch, TensorFlow, scikit-learn) * Experience ...

Vous etes un expert en Python avec une experience eprouvee dans l'utilisation de solutions ... Vous developpez des solutions Python basees sur l'IA/ML depuis au moins 5 a 7 ans Qu'est-ce qui ...

Job Requisition ID # 25WD94058 25WD94058, Software Architect, AI/ML L'affichage de poste en ... Python/TypeScript/Java with strong engineering fundamentals (testing, code quality, performance ...

Coach and mentor a growing team of data scientists and engineers, fostering a culture of continuous ... Strong expertise in Python and experience with data science libraries (e.g., Scikit-learn, Pandas ...

The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development and prompt engineering. The candidate should be ...

Sr. Full Stack Data Science Engineer

Montreal, QC ยท On-site

CA$154K - CA$199K/yr

SQL, PySpark, Python * AI & ML : Predictive Analytics, Natural Language Processing (NLP ... Data Engineering : ETL/ELT Pipelines, Apache Spark Nice-to-Have * Experience in customer analytics ...

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Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Montreal, QC? For Python Ml Developer jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Montreal, QC look for? The top searched job categories for Python Ml Developer jobs in Montreal, QC are:
Infographic showing various Python Ml Developer job openings in Montreal, QC as of July 2026, with employment types broken down into 81% Full Time, 9% Part Time, 1% Temporary, and 9% Contract. Highlights an 76% Physical, 10% Hybrid, and 14% Remote job distribution.
Senior AI Developer

Senior AI Developer

Intact Financial

Montreal, QC โ€ข On-site

Full-time

Life, Retirement

Posted 20 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

118,700 - 145,100

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

12%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We're looking for a Senior AI Developer to join our AI Enabling team. Our mission is to accelerate AI adoption across the organization by building golden paths (primarily in the form of agent skills) and reusable components that help product teams ship AI-powered features faster and with confidence. You'll design, build, and maintain these shared capabilities from prototype through production while mentoring the engineers around you. This is a hands-on technical leadership role where you'll own architecture decisions and shape how AI gets built across the company.
What you'll do here:

  • Build golden paths and reusable AI components - Design and develop agent skills, shared libraries, and reference architectures that product teams can adopt to ship AI-powered features faster and more reliably.
  • Enable product teams at scale - Partner with value stream teams to understand their needs, identify common patterns, and turn them into well-documented, production-ready building blocks (RAG pipelines, agentic workflows, prompt templates, evaluation harnesses).
  • Ship to production on AWS - Deploy and operate shared AI infrastructure using services like Bedrock, AgentCore, Lambda, Step Functions, and container platforms. Ensure reliability, latency targets, and cost efficiency across all shared components.
  • Define standards and best practices - Establish opinionated defaults for how AI gets built across the organization - from prompt engineering patterns to evaluation methodologies to deployment strategies.
  • Drive quality through evaluation and iteration - Build evaluation frameworks that product teams can plug into, measuring solution performance, detecting regressions, and ensuring consistent quality across consumers.
  • Collaborate across disciplines - Work with data scientists, analysts, and product teams to ensure AI components are addressing real business needs and leveraging high-quality data.
  • Mentor and elevate the squad - Conduct code reviews, pair on hard problems, and raise the team's technical bar in AI/ML engineering. Help junior engineers grow through coaching and knowledge sharing.
  • Stay current and bring ideas forward - Evaluate emerging AI techniques, frameworks, and tooling. Recommend and pilot new approaches that improve the platform's capabilities or developer experience.

What you bring to the table:

Required
  • Bachelor's degree in Computer Engineering, Computer Science, or equivalent combination of education and experience.
  • 8+ years of software development experience, including 3+ years building ML or AI systems in production environments.
  • Strong proficiency in Python and experience with AI/ML frameworks (e.g., LangChain, LangGraph, FastAPI).
  • Solid experience with AWS services relevant to AI/ML workloads (e.g., Bedrock, AgentCore, SageMaker, Lambda, Step Functions, S3).
  • Deep understanding of GenAI and agentic AI fundamentals: prompt engineering, RAG architectures, agentic orchestration patterns, and evaluation methodologies.
  • Experience with MLOps practices: CI/CD for models, monitoring, experiment tracking, and reproducible deployments.
  • Demonstrated ability to leverage AI coding assistants (Claude Code, Copilot, etc.) to accelerate development workflows.
  • Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
  • For candidates located in Quebec, bilingualism is required given the necessity to interact regularly with English-speaking colleagues across the country.
  • No Canadian work experience required however must be eligible to work in Canada.
Nice to have
  • Experience with MCP (Model Context Protocol) or similar agent-tool integration standards.
  • Familiarity with the insurance or financial services domain.
  • Experience with orchestration frameworks such as CrewAI, AutoGen, or similar.
  • Track record of mentoring engineers or leading technical initiatives.

#LI-Hybrid

Ce poste jouera un role essentiel au sein de notre equipe. | This position will fill an essential role in our team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Employment Type: FULL_TIME