Data scientist jobs in Saint-Lambert, QC and nearby

Within 25 km

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Added 1 month ago
T
Senior Machine Learning Engineer
TekRek
Montreal, QC
- $140,000 to $160,000 CAD / year
- Full-time
…industries, building everything from classical models on structured data to LLM-powered systems in the cloud. The right person has deep expertise in at least one of software, data, or ML…
Added 1 month ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Tools such as the Data Academy, language training, the Harvard Learning Centre
Added 1 month ago
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Staff Data Scientist, AI Evaluations Platform
Royal Bank of Canada
Montreal, QC
- Full-time
…one of the core controls that makes that possible. As Staff Data Scientist, AI Evaluations, you will be a senior technical leader in the data science function responsible for how RBC…
Added 1 month ago
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Staff Data Scientist, AI Evaluations Platform
RBC
Montreal, QC
- Full-time
…one of the core controls that makes that possible. As Staff Data Scientist, AI Evaluations, you will be a senior technical leader in the data science function responsible for how RBC…
Added 1 month ago
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Staff Data Scientist, AI Evaluations Platform- EN
RBC
Montreal, QC
- Full-time
…one of the core controls that makes that possible. As Staff Data Scientist, AI Evaluations, you will be a senior technical leader in the data science function responsible for how RBC…
Added 1 month ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Data Scientist in the Client Data Valorisation team at National Bank means serving as a predictive modelling and data valorisation specialist. This position allows you to have…
Added 1 month ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC
- Full-time
…their most pressing challenges through Machine Learning and data engineering, creating sustainable value at scale. As a client-facing consultancy, our team must be adaptable, technically…
Added 1 month ago
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R&D Bioanalytical Scientist / Scientifique principal(e) en bioanalyse R&D
Lighthouse Lab Services
Laval, QC
- $90,000 to $120,000 CAD / year
- Full-time
Lighthouse Lab Services is currently seeking a dedicated and detail-oriented R&D Bioanalytical Scientist / LC-MS Leader to join our client in Laval, QC. This is a full-time position.
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Architecte de données / Data Architect
Pratt & Whitney
Longueuil, QC
- Full-time
Added 1 month ago
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Architecte de données / Data Architect
RTX
Longueuil, QC
- Full-time
Added 1 month ago
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Scientifique des données, chaîne d’approvisionnement / Supply Chain Data Scientist
Pratt & Whitney
Longueuil, QC
- Full-time
Added 1 month ago
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Scientifique des données, chaîne d’approvisionnement / Supply Chain Data Scientist
RTX
Longueuil, QC
- Full-time
Added 1 month ago
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Data Architect
KPI Digital Solutions
Montreal, QC
- Other
Must have a great experience in creating conceptual data models from scratch and have them physically implemented
Added 1 month ago
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Scientifique des données / Data Scientist
Airbus Aircraft
Montreal, QC
- Full-time
Added 1 month ago
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Data Architect
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Must have a great experience in creating conceptual data models from scratch and have them physically implemented
Added 1 month ago
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Scientifique des données / Data Scientist
Airbus
Montreal, QC
- Full-time
Added 1 month ago
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Spécialiste apprentissage machine/Machine Learning Specialist - Device Analytics
Genetec
Montreal, QC
- Full-time
Added 1 month ago
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Senior Research Scientist / Chercheur(-euse) scientifique principal(e)
Vention
Montreal, QC
- Full-time
…infrastructure across the AI development pipeline, including data collection/teleoperation tools, high-fidelity simulation environments, logging frameworks, and visualization…
Added 1 month ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Tools such as the Data Academy, language training, the Harvard Learning Centre
Added 1 month ago
NB
Senior AI Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Data scientist in the
Added 1 month ago
CA
Quantitative Analyst
Crédit Agricole CIB
Montreal, QC
- Full-time
Added 1 month ago
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Data Architect - Montreal
Slalom
Montreal, QC
- Full-time
Our Data Architecture & Engineering teams helps organizations modernize their data ecosystems and build the foundations required for analytics, machine learning, artificial intelligence,…
Added 1 month ago
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Data Architect
Synechron
Montreal, QC
- Full-time
Must have hands on experience with AWS, and Google Cloud
Added 1 month ago
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Machine Learning Engineer
ALS
Montreal, QC
- Full-time
When you join us, you’ll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.
Added 2 months ago
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AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Montreal, QC
- $91,375 to $129,000 CAD / year
- Full-time
Successful applicants must have graduated from a recognized post-secondary institution prior to their employment start date

Yeji Data Lab

Senior Machine Learning Engineer (Consulting)

Greater Montreal Metropolitan Area, QC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English · French
Posted: Oct 8, 2026

Original job description

English section of this bilingual listing.

About Us

As a global boutique firm, we partner with leading organizations to solve their most pressing challenges through Machine Learning and data engineering, creating sustainable value at scale. As a client-facing consultancy, our team must be adaptable, technically rigorous, and capable of designing systems from the ground up across a wide range of industries in North America and beyond.

Role Overview

We are looking for a Senior Machine Learning Engineer to design, build, and deploy scalable ML solutions for our clients. You will work across diverse projects, collaborating with cross-functional teams to deliver production-ready AI systems in modern cloud environments.

Key Responsibilities

Design, build, and deploy machine learning and deep learning models in production environments
Develop and maintain MLOps pipelines (CI/CD, monitoring, model versioning) across cloud platforms
Work with large-scale datasets for training, validation, and evaluation
Implement and optimize LLM-based solutions, including:
Fine-tuning foundation models
Building and deploying RAG (Retrieval-Augmented Generation) systems
Collaborate with clients and internal teams to translate business problems into ML solutions
Ensure model performance, scalability, and reliability in production
Stay current with advancements in AI/ML, especially in generative AI and LLMs

Required Qualifications

4+ years of experience in Machine Learning Engineering or related roles
Strong experience with Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
Apply and optimize traditional machine learning algorithms (e.g., tree-based models, gradient boosting, neural networks) for structured data problems
Hands-on experience with deep learning models (e.g., CNNs, RNNs)
Experience building and deploying production ML systems
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow, CI/CD pipelines)
Experience with cloud platforms (at least one of AWS, Azure, or GCP; multi-cloud is a plus)
Implement and optimize LLM-based solutions, including: Fine-tuning foundation models, prompt engineering, building and deploying RAG (Retrieval-Augmented Generation) systems
Experience building RAG pipelines (vector databases, embeddings, retrieval strategies)

Nice to Have

Experience in a consulting or client-facing role
Familiarity with tools like LangChain, LlamaIndex, or similar frameworks
Knowledge of data engineering (Spark, SQL, data pipelines)
Experience with containerization and orchestration (Docker, Kubernetes)
Understanding of model governance, monitoring, and responsible AI

What We Offer

Opportunity to work on cutting-edge AI/ML and GenAI projects
Exposure to a variety of industries and problem domains
Flexible work environment (hybrid)
Competitive compensation and growth opportunities

Français

À propos de nous

Read the full bilingual original

About Us

Role Overview

Key Responsibilities

Design, build, and deploy machine learning and deep learning models in production environments
Develop and maintain MLOps pipelines (CI/CD, monitoring, model versioning) across cloud platforms
Work with large-scale datasets for training, validation, and evaluation
Implement and optimize LLM-based solutions, including:

Fine-tuning foundation models

Building and deploying RAG (Retrieval-Augmented Generation) systems

Collaborate with clients and internal teams to translate business problems into ML solutions
Ensure model performance, scalability, and reliability in production
Stay current with advancements in AI/ML, especially in generative AI and LLMs

Required Qualifications

4+ years of experience in Machine Learning Engineering or related roles
Strong experience with Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
Apply and optimize traditional machine learning algorithms (e.g., tree-based models, gradient boosting, neural networks) for structured data problems
Hands-on experience with deep learning models (e.g., CNNs, RNNs)
Experience building and deploying production ML systems
Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow, CI/CD pipelines)
Experience with cloud platforms (at least one of AWS, Azure, or GCP; multi-cloud is a plus)
Implement and optimize LLM-based solutions, including: Fine-tuning foundation models, prompt engineering, building and deploying RAG (Retrieval-Augmented Generation) systems
Experience building RAG pipelines (vector databases, embeddings, retrieval strategies)

Nice to Have

Experience in a consulting or client-facing role
Familiarity with tools like LangChain, LlamaIndex, or similar frameworks
Knowledge of data engineering (Spark, SQL, data pipelines)
Experience with containerization and orchestration (Docker, Kubernetes)
Understanding of model governance, monitoring, and responsible AI

What We Offer

Opportunity to work on cutting-edge AI/ML and GenAI projects
Exposure to a variety of industries and problem domains
Flexible work environment (hybrid)
Competitive compensation and growth opportunities

Français

À propos de nous

En tant que boutique d’envergure internationale, nous collaborons avec des organisations de premier plan pour relever leurs défis les plus stratégiques grâce au Machine Learning et à l’ingénierie des données, afin de créer une valeur durable. En tant que firme-conseil en contact direct avec les clients, notre équipe doit faire preuve d’adaptabilité, de rigueur technique et d’une forte capacité à concevoir des systèmes de bout en bout pour divers secteurs d’activité en Amérique du Nord et ailleurs.

Aperçu du poste

Nous recherchons un ingénieur sénior en apprentissage automatique pour concevoir, développer et déployer des solutions d’IA évolutives pour nos clients. Vous travaillerez sur des projets variés, en collaboration avec des équipes multidisciplinaires, afin de livrer des systèmes d’IA prêts pour la production dans des environnements cloud modernes.

Principales responsabilités

Concevoir, développer et déployer des modèles de machine learning et de deep learning dans des environnements de production
Développer et maintenir des pipelines MLOps (CI/CD, surveillance, gestion des versions des modèles) sur des plateformes cloud
Travailler avec des jeux de données à grande échelle pour l’entraînement, la validation et l’évaluation
Mettre en œuvre et optimiser des solutions basées sur les LLM, notamment :
l’ajustement fin de modèles de fondation
la conception et le déploiement de systèmes RAG (Retrieval-Augmented Generation)
Collaborer avec les clients et les équipes internes afin de traduire des enjeux d’affaires en solutions de machine learning
Garantir la performance, l’évolutivité et la fiabilité des modèles en production
Se tenir à jour sur les avancées en IA/ML, en particulier en IA générative et en LLM

Qualifications requises

4 ans ou plus d’expérience en ingénierie du machine learning ou dans des rôles connexes
Solide expérience avec Python et les frameworks de ML (p. ex. PyTorch, TensorFlow, Scikit-learn)
Capacité à appliquer et à optimiser des algorithmes traditionnels de machine learning (p. ex. modèles arborescents, gradient boosting, réseaux neuronaux) pour des problèmes sur données structurées
Expérience pratique avec des modèles de deep learning (p. ex. CNN, RNN)
Expérience dans la conception et le déploiement de systèmes de ML en production
Maîtrise des pratiques et outils MLOps (p. ex. MLflow, Kubeflow, Airflow, pipelines CI/CD)
Expérience avec des plateformes cloud (au moins une parmi AWS, Azure ou GCP; le multi-cloud est un atout)
Expérience dans la mise en œuvre et l’optimisation de solutions basées sur les LLM, notamment : l’ajustement fin de modèles de fondation, le prompt engineering, la conception et le déploiement de systèmes RAG (Retrieval-Augmented Generation)
Expérience dans la conception de pipelines RAG (bases de données vectorielles, embeddings, stratégies de récupération)

Atouts supplémentaires

Expérience en cabinet de conseil ou dans un rôle en contact direct avec la clientèle
Familiarité avec des outils comme LangChain, LlamaIndex ou des frameworks similaires
Connaissance de l’ingénierie des données (Spark, SQL, pipelines de données)
Expérience en conteneurisation et orchestration (Docker, Kubernetes)
Compréhension de la gouvernance des modèles, de leur surveillance et de l’IA responsable

Ce que nous offrons

L’occasion de travailler sur des projets de pointe en IA/ML et en IA générative
Une exposition à une grande variété de secteurs et de problématiques
Un environnement de travail flexible (hybride)
Une rémunération concurrentielle et des possibilités d’évolution professionnelle

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and deploy production-ready machine learning and deep learning systems, including scalable LLM and RAG solutions. Develop and maintain cloud-based MLOps pipelines, collaborate with clients and internal teams to translate business needs into ML solutions, and ensure production systems are reliable and performant.

Requirements

Requires at least four years of experience in machine learning engineering or a related role, strong Python and ML framework skills, and experience deploying production ML systems. Candidates should also have hands-on deep learning, MLOps, cloud, LLM fine-tuning, prompt engineering, and RAG pipeline experience.

Skills

Python
PyTorch
TensorFlow
Scikit-Learn
Traditional Machine Learning
Deep Learning
MLOps
CI/CD
Cloud Platforms
Large Language Models
Fine-Tuning
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Embeddings
Model Monitoring

Benefits

Flexible Work Environment
Competitive Compensation
Growth Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Python
PyTorch
TensorFlow
Scikit-Learn
Tree-Based Models
Gradient Boosting
Neural Networks
CNNs
RNNs
MLOps
MLflow
Kubeflow
Airflow
CI/CD
AWS
Azure
GCP
Large Language Models
Foundation Model Fine-Tuning
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Embeddings
LangChain
LlamaIndex
Spark
SQL
Docker

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Data scientist jobs in Saint-Lambert, QC and nearby