Jobs in Canada

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Added 1 day ago
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Manager, Data and Technology - Data Engineer
Deloitte
Toronto, ON
- Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 1 day ago
PF
Scientifique IA/ML | Scientist, AI/ML
Power Factors
Remote, Canada
- Remote
Power Factors is a software and solutions provider leading the next generation of clean energy with Unity, one of the most extensive and widely deployed
Added 1 day ago
Senior Software Engineer - Search & AI
Guidepoint
Toronto, ON
We are hiring a Senior Software Engineer to build and run the search systems that connect Guidepoint clients with the right experts. You will join the Search team in Data Engineering and…
Added 1 day ago
AC
Software Engineer / Founding Engineer
Alexander Chapman
Canada
- Full-time
We're partnering with a fast-growing Canadian AI startup building technology that transforms unstructured conversational data into actionable insights and automates complex workflows.
Added 1 day ago
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Scientifique principal·e des données - BESS | Senior Data Scientist - BESS
Power Factors
Remote, Canada
- Remote
…opérationnelles à grande échelle. Vous travaillerez directement en Python et dans des cadres d'IA modernes pour développer des modèles analytiques de qualité production qui s'attaquent à…
Added 1 day ago
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Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 1 day ago
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Senior Technology Director - Merchandise Planning
lululemon
Vancouver, BC
- Full-time
…master data management, and go to market. We partner closely with design, technical development, merchandising, sourcing, and planning functions to accelerate speed to market and elevate…
Added 1 day ago
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Software Engineer (SWE), Delivery Ops
Mecka
Richmond Hill, ON
- $150,000 to $200,000 CAD / year
- Full-time
Strong Python and SQL; comfortable with document stores and analytical databases at the scale of millions of rows.
Added 1 day ago
PC
Salesforce Technical Manager
Pwc Canada
Toronto, ON · Vancouver, BC
- Full-time
Experience with: AI/ML model integration • Python or Java • SQL/database design • AWS/Azure cloud platforms • Omnistudio (FlexCards, DataRaptors) • Industries CPQ • Mulesoft APIs • Platform…
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Senior Consultant - Risk Data & Technology - Data Engineer
Deloitte
Toronto, ON
- Full-time
Hands on development experience is important and should be well versed with python/pyspark.
Added 1 day ago
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Senior AI Engineer
Zodiac Solutions, Inc
Montreal, QC
- Full-time
Strong hands-on Python development experience.
Added 1 day ago
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Senior AI Engineer. Innovation and R&D
Equinix
Toronto, ON
- Full-time
Proficiency in Python and PyTorch, and with Hugging Face tooling
Added 2 days ago
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Machine Learning Software Developer, In-Vehicle Infotainment
Ford Motor Company
Ottawa, ON
- $96,000 to $146,000 CAD / year
- Full-time
Ford’s Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company’s vision of a fully electric transportation future. EVDD is customer-obsessed,…
Added 2 days ago
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Lead ML Engineer – Classical ML & GenAI/RAG
Delaplex
Canada
- Full-time
The ideal candidate will have a strong foundation in classical Machine Learning/Data Science, with substantial hands-on experience building ML solutions before the recent GenAI wave, and…
Added 2 days ago
AM
Principal Software Development Engineer
Advanced Micro Devices, Inc
Waterloo, ON
- Full-time
…working across multiple layers of the software stack in both Python and C++. They should be able to communicate effectively and work well with different teams across AMD and with…
Added 2 days ago
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Data Architect - Calgary
Slalom
Calgary, AB
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 2 days ago
RD
Senior Technical Analyst - DevOps & Production Ops
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our client is seeking a hands-on Senior Technical Analyst / Developer with a strong focus on AWS DevOps, cloud infrastructure, and production operations to deploy, scale, and support…
Added 2 days ago
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Ingénieur ( e) de données- Data Engineer
Klever
Montreal, QC
- Full-time
Collaborate with cross-functional teams, including data scientists, domain experts, and software engineers, to understand data requirements and provide the necessary infrastructure and…
Added 2 days ago
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Applied AI/ML Scientist
lululemon
Vancouver, BC
- Full-time
Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits.
Added 2 days ago
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Senior AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow , feature stores, cloud ML platforms
Added 2 days ago
GC
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Game Companies
Montreal, QC
- Full-time
Filled with quests, exploration, and engaging activities featuring iconic Disney and Pixar characters, Disney Dreamlight Valley is an original Gameloft Montreal production created by a…
Added 2 days ago
Staff Machine Learning Engineer, AdTech
HelloFresh
Toronto, ON
Production proficiency in Python and SQL, with strong fundamentals in software design, API development (e.g., FastAPI), testing, and database optimization.
Added 2 days ago
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Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
Expert Python (FastAPI or equivalent), with strong experience in RESTful, async, and event-driven architectures.
Added 2 days ago
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Computer Vision Solutions Leader
SoftServe
Canada
- Full-time
Hands-on experience with Python and ML frameworks such as PyTorch, Pandas, NumPy, and cloud-based AI toolsets
Added 2 days ago
Senior Data Scientist, Customer Value Forecasting
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week

Delaplex

Lead ML Engineer – Classical ML & GenAI/RAG

Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of hands-on experience in Machine Learning/Data Science/ML Engineering or closely related roles.
Posting language: English
Posted: Nov 12, 2026

Original job description

About Company

At Delaplex, we believe true organizational distinction comes from exceptional products and services. Founded in 2008 by a team of like-minded business enthusiasts, we have grown into a trusted name in technology consulting and supply chain solutions. Our reputation is built on trust, innovation, and the dedication of our people who go the extra mile for our clients. Guided by our core values, we don’t just deliver solutions, we create meaningful impact.

Job Title: Lead ML Engineer – Classical ML & GenAI/RAG

About The Role

We are looking for a hands-on Lead ML Engineer to take ownership of developing, deploying, and supporting predictive AI/ML solutions in production.

The ideal candidate will have a strong foundation in classical Machine Learning/Data Science, with substantial hands-on experience building ML solutions before the recent GenAI wave, and should have subsequently expanded their expertise into Generative AI, LLM, and RAG-based applications.

This role requires someone who can work independently through ambiguous business and technical requirements, contribute directly to the codebase, build reliable ML pipelines, and take ownership of models through production deployment and ongoing improvement.

The primary focus is classical ML implementation and production delivery. GenAI/RAG experience is an important complementary skill, but this is not an architecture-only, advisory, or prompt-engineering role.

Key Responsibilities

Design, develop, and productionize machine learning solutions for real-world business problems.
Build supervised and unsupervised ML models across areas such as:
- Classification
- Regression
- Forecasting/time-series
- Clustering
- Anomaly detection
Perform end-to-end data preparation, feature engineering, model development, validation, tuning, and evaluation.
Establish appropriate baselines and evaluate models against measurable business outcomes.
Develop reusable and production-quality Python and SQL code.
Build and maintain automated training and inference pipelines.
Implement appropriate unit/integration testing, version control, code reviews, and engineering best practices.
Identify and prevent data leakage and other common modeling issues.
Deploy and support ML models in production environments.
Take ownership of model reproducibility, versioning, monitoring, troubleshooting, and retraining.
Work with both cloud and on-premise environments where required.
Analyze existing ML codebases, establish reliable baselines, identify improvement opportunities, and implement measurable enhancements.
Translate ambiguous requirements into practical ML solutions and working production code.
Collaborate with data scientists, engineers, product/business stakeholders, and other technical teams.
Provide hands-on technical leadership and guidance to other ML engineers/data scientists.
Develop and support GenAI/LLM/RAG applications, building on a strong classical ML foundation.
Implement evaluation and debugging approaches for RAG and LLM-based solutions.
Continuously improve model performance, reliability, scalability, and maintainability.

Must Have

Required Skills & Experience

5+ years of hands-on experience in Machine Learning/Data Science/ML Engineering or closely related roles.
Strong practical experience with classical machine learning.
Proven experience developing supervised and/or unsupervised ML solutions in production.
Strong Python programming skills.
Strong SQL skills.
Experience developing production-quality, reusable code.
Experience with ML training and inference pipelines.
Strong understanding of:
- Data preparation
- Feature engineering
- Model validation
- Data leakage prevention
- Hyperparameter tuning
- Model evaluation
- Baseline comparison
Hands-on experience deploying and supporting ML models in production.
Experience with model monitoring, troubleshooting, versioning, reproducibility, and retraining.
Experience with Git/version control and code reviews.
Ability to work hands-on within an existing codebase and deliver working solutions.
Recent hands-on experience with GenAI/LLM/RAG applications.
Experience evaluating and debugging RAG/LLM solutions.
Strong problem-solving and technical leadership capabilities.

Good to Have

Experience deploying ML solutions across cloud and on-premise environments.
Experience with ML/MLOps platforms and tooling.
Experience with Docker/Kubernetes or similar deployment technologies.
Experience with cloud platforms such as AWS, Azure, or GCP.
Experience with model serving and API-based ML deployment.
Experience with LLM evaluation frameworks and RAG architectures.
Experience working with embeddings, vector databases, retrieval pipelines, and prompt/model evaluation.

Skills: machine learning,data science,gen ai,python,rag,model validation & evaluation,llm

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More about this job

Responsibilities

Develop, deploy, and support production machine learning solutions, including classical supervised and unsupervised models, automated pipelines, and ongoing model monitoring and improvement. Provide hands-on technical leadership and contribute to GenAI, LLM, and RAG applications, including their evaluation and debugging.

Requirements

Requires 5+ years of hands-on machine learning or data science experience, strong Python and SQL skills, and proven experience building and supporting production ML models and pipelines. Candidates also need recent hands-on GenAI/LLM/RAG experience, model evaluation and debugging skills, and the ability to work independently and provide technical leadership.

Skills

Machine Learning
Data Science
Generative AI
Python
SQL
RAG
LLMs
Model Validation
Model Evaluation
Feature Engineering
ML Pipelines
Production Deployment
Model Monitoring
MLOps
Vector Databases
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Classical Machine Learning
Supervised Learning
Unsupervised Learning
Classification
Regression
Time-Series Forecasting
Clustering
Anomaly Detection
Generative AI
Large Language Models
Retrieval-Augmented Generation
Python
SQL
Feature Engineering
Data Preparation
Model Validation
Hyperparameter Tuning
Model Evaluation
Data Leakage Prevention
Training Pipelines
Inference Pipelines
Production Deployment
Model Monitoring
Model Versioning
Reproducibility
Git
MLOps
Docker
Kubernetes
Cloud Platforms

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Jobs in Canada