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

... Applied AI/ML Developer Position overview As a Senior ML Developer on the team, you will be ... Proficiency with the Python Machine Learning stack, e.g. Pandas, deep learning frameworks ...

Design and deploy production AI/ML solutions using Python. * Develop LLM, RAG, and multi-agent AI ... Python, NumPy, Pandas, Scikit-learn, PyTorch * LLMs, RAG, prompt engineering, and agentic AI

Benchmark and optimize model performance and efficiency along with ML engineers to ensure the ... Strong experience in Python software development, in the use of version control, collaboration ...

The position We are looking for our lead deep learning engineer to spearhead the development of our ... Solid Python proficiency for ML experimentation and tooling * Ability to work independently, solve ...

MUST-HAVE * 7+ years in AI/ML engineering, with 3+ years in banking or financial services. * Advanced Python skills: PyTorch/TensorFlow, Scikit-learn, Pandas. * Hands-on MLOps experience: MLflow ...

MUST-HAVE * 7+ years in AI/ML engineering, with 3+ years in banking or financial services. * Advanced Python skills: PyTorch/TensorFlow, Scikit-learn, Pandas. * Hands-on MLOps experience: MLflow ...

Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated ... Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production ...

Excellente maîtrise de Python et des bibliothèques de deep learning telles que PyTorch ou TensorFlow, ainsi que scikit-learn. * Solide compréhension des techniques ML modernes, incluant les CNN ...

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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 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:

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.

Senior Applied AI/ML Developer

Autodesk

Montreal, QC • On-site

Full-time

Re-posted 16 hours ago


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

25th of 245 rated software companies


Job description

Job Requisition ID #

26WD99788

L'affichage de poste en francais suivra / The French job posting follows

26WD99788 Sr. Applied AI/ML Developer

Position overview

As a Senior ML Developer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across dedicated RAG programs of work. Your horizontal expertise in testing, evaluation and causal inference in the vertical domain of user interaction with text outputs, Information Retrieval as a theoretical discipline as the enabling tool will drive end-to-end planning, POC-building, offline and online evaluation and pushing features into the hands of users.

The Senior MLE will work to deliver ML-driven technical solutions to customer needs in our platform. Sr MLEs help in coordinating delivery as part of multi-disciplinary stakeholder teams. This role is hands-on, focusing on technical problem solving with the latest in NLP and ML technology.

Our team culture is built on collaboration, mutual support, and continuous learning. As a Senior MLE, you will provide technical guidance and expertise for the team, and with other stakeholders. We emphasize an agile, hands-on, and technical approach at all levels of the team.

As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.

Responsibilities

  • Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms

  • Perform statistical and data analysis and exploration to generate datasets for model training and development

  • Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice

  • Provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer Platform.

  • Partner with stakeholders, to solve important business objectives across a range of problems

  • Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning

Minimum Qualifications

  • MS/M.Tech/M.Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields

  • 3+ years of applicable work experience in ML

  • Hands-on experience of NLU and integrating traditional search techniques into RAG

  • Proficiency with the Python Machine Learning stack, e.g. Pandas, deep learning frameworks, traditional ML, probability calibration etc.

  • Knowledge of experimental design and analysis of results

  • Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production

  • Demonstrate experience working in cross-functional teams to deliver ML solutions in production

____________________________________________________________________________

26WD99788 Developpeur principal en IA/apprentissage automatique applique

Apercu du Poste

En tant que developpeur principal en apprentissage automatique au sein de l'equipe, vous serez charge de diriger ou de contribuer a la conception, a l'analyse et a la mise en uvre de solutions fondees sur les donnees afin de relever des defis d'affaires majeurs dans le cadre de programmes de travail RAG dedies. Votre expertise horizontale en matiere de tests, d'evaluation et d'inference causale dans le domaine vertical de l'interaction des utilisateurs avec les sorties textuelles, ainsi que la recherche d'information en tant que discipline theorique et outil facilitateur, vous permettront de piloter la planification de bout en bout, la creation de preuves de concept (POC), l'evaluation hors ligne et en ligne, ainsi que la mise a disposition des fonctionnalites aupres des utilisateurs.

Le specialiste principal en apprentissage automatique (MLE) travaillera a fournir des solutions techniques basees sur l'apprentissage automatique pour repondre aux besoins des clients sur notre plateforme. Les specialistes principaux en apprentissage automatique aident a coordonner la mise en uvre au sein d'equipes multidisciplinaires composees de parties prenantes. Ce poste est axe sur la pratique et met l'accent sur la resolution de problemes techniques a l'aide des dernieres technologies en traitement du langage naturel (TLN) et en apprentissage automatique.

La culture de notre equipe repose sur la collaboration, le soutien mutuel et l'apprentissage continu. En tant que specialiste principal en apprentissage automatique, vous fournirez des conseils techniques et votre expertise a l'equipe ainsi qu'aux autres parties prenantes. Nous mettons l'accent sur une approche agile, pratique et technique a tous les niveaux de l'equipe.

En tant que groupe, nous souhaitons ameliorer continuellement notre apprentissage automatique ainsi que notre connaissance des tendances et des techniques pertinentes pour nos domaines. Notre equipe vise l'excellence tant dans la theorie que dans la pratique de l'apprentissage automatique. Nous encourageons le developpement personnel et le partage des connaissances.

Responsabilites

  • Concevoir et mettre en uvre des capacites d'apprentissage automatique qui ameliorent les plateformes RAG d'Autodesk

  • Effectuer des analyses et des explorations statistiques et de donnees afin de generer des ensembles de donnees pour l'entrainement et le developpement de modeles

  • Collaborer avec les autres membres de l'equipe pour trouver de meilleures solutions et positionner notre equipe a la fine pointe de la technologie et des pratiques en matiere d'apprentissage automatique

  • Assurer le leadership technique et le mentorat aupres des membres moins experimentes de l'equipe afin de livrer des fonctionnalites cles basees sur l'apprentissage automatique pour notre plateforme client numerique.

  • Collaborer avec les parties prenantes pour atteindre des objectifs d'affaires importants en abordant un large eventail de problemes

  • Traduire les exigences et les objectifs d'affaires en problemes pouvant etre resolus grace a une combinaison de donnees, de statistiques et d'apprentissage automatique

Qualifications Minimales

  • Maitrise (MS/M.Tech/M.Math) ou doctorat (Ph.D.) en informatique, statistiques, mathematiques, physique, developpement logiciel, economie, linguistique computationnelle ou dans des domaines connexes

  • Au moins 3 ans d'experience professionnelle pertinente en apprentissage automatique

  • Experience pratique de la comprehension du langage naturel (NLU) et de l'integration de techniques de recherche traditionnelles dans le RAG

  • Maitrise de la pile d'apprentissage automatique en Python, p. ex. Pandas, les cadres d'apprentissage profond, l'apprentissage automatique traditionnel, l'etalonnage des probabilites, etc.

  • Connaissance de la conception experimentale et de l'analyse des resultats

  • Experience averee dans la direction d'equipes d'apprentissage automatique pour le deploiement et l'amelioration de fonctionnalites d'apprentissage automatique en production

  • Experience averee de travail au sein d'equipes interfonctionnelles pour la mise en uvre de solutions d'apprentissage automatique en production

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging


In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Are you an existing contractor or consultant with Autodesk?

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What Autodesk employees say

Pay

Hours and flexibility

Workplace

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982