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

Autodesk

Software Architect, AI/ML

Montreal, QC · On-site

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 ...

Levio

Conseiller.ere ML/IA

Montreal, QC · On-site

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 ...

Tecsys Inc.

Developpeur IA/ML senior

Montreal, QC · On-site

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 ...

SAP

Senior AI Machine Learning Engineer

Montreal, QC

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

Quadbridge

AI Application Developer

Montreal, QC · On-site

AI Application Developer Who We Are: Quadbridge is a fast-growing North American IT solutions ... AI/ML techniques and Microsoft's AI tooling ecosystem. Qualifications: * Proficiency in Python ...

Quadbridge

AI Application Developer

Montreal, QC · On-site

AI Application Developer Who We Are: Quadbridge is a fast-growing North American IT solutions ... AI/ML techniques and Microsoft's AI tooling ecosystem. Qualifications: * Proficiency in Python ...

Norbert Health

Applied AI Engineer

Montreal, QC · On-site

Integrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation ... Strong Python; comfortable with the deployment toolchain (ONNX, quantization, at least one ...

Norbert Health

Applied AI Engineer

Montreal, QC · On-site

Integrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation ... Strong Python; comfortable with the deployment toolchain (ONNX, quantization, at least one ...

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Showing results 21-40

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Montreal, QC

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 the key skills and qualifications needed to thrive as a Python ML Developer?

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 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.

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.

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:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Montreal, QC as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

ML Research Scientist (probabilistic inference)

LawZero

Montreal, QC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety research agenda. In this role, you will develop and evaluate probabilistic inference methods, with a focus on amortized inference, translating theoretical insights into practical implementations.

Key responsibilities

  • Develop amortized inference methods suitable for high-dimensional discrete and continuous distributions.
  • Develop parameter- and structure-learning methods for large probabilistic graphical models that benefit from amortized probabilistic inference.
  • Design evaluation strategies for methods that rely on probabilistic inference.
  • Collaborate with mathematicians on theory related to learning and inference in probabilistic models.
  • Translate theoretical proposals into high quality implementations in a programming language such as Python.
  • Analyze and interpret experimental results to steer future research directions.
  • Communicate complex findings effectively to various stakeholders.

Skills and qualifications

  • Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
  • A minimum of 3 years of experience in deep learning research.
  • Expertise in probabilistic inference is required, in addition to expertise in one or more of the following:
    • Bayesian inference
    • Sampling-based approximate inference methods
    • Amortized inference methods (including variational inference methods or Generative Flow Networks)
    • Parameter- and/or structure-learning in probabilistic graphical models (including causal models)
    • Reinforcement learning
    • Optimal control
  • Strong background in mathematics.
  • Proven experience in developing and implementing machine learning models.
  • Proficiency in programming languages such as Python, and experience with  ML frameworks like PyTorch or TensorFlow.
  • Excellent analytical and problem-solving skills, with a demonstrated ability to think critically about complex systems.
  • Strong communication skills, both written and verbal, with the ability to explain complex ideas to diverse audiences.
  • Track record of contributing to high-quality research in probabilistic inference or related fields.
  • Ability to work collaboratively in a team environment while also being self-motivated and independent.

What we offer

  • The opportunity to contribute to a unique mission with a major impact.
  • Comprehensive health benefits.
  • A minimum of 20 days vacation per year upon start.
  • A minimum retirement savings employer contribution of 4%.
  • Generous flexible benefits designed to contribute to your well-being.
  • A team of passionate experts in their field.
  • A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

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