Jobs in Canada

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Added 8 mins ago
GO
Analog Electronics Engineer
G2V Optics
Edmonton, AB
- Full-time
…needs into clear requirements, manages timelines and risks with scenario awareness, validates engineering work through disciplined testing, and performs or coordinates technical work…
Added 23 mins ago
A
AI Native Solutions Lead (Agentic / Applied)
Accenture
Vancouver, BC
- Full-time
Proficiency in Python; experience with Java or equivalent backend language acceptable
Added 23 mins ago
GO
Analog Electronics Engineer
G2V Optics Inc.
AB · Edmonton, AB
- Full-time
…needs into clear requirements, manages timelines and risks with scenario awareness, validates engineering work through disciplined testing, and performs or coordinates technical work…
Added 23 mins ago
LM
Full Stack Engineer Sr - E3
Lockheed Martin
Ottawa, ON
- Full-time
Must have excellent people, communication and troubleshooting skills
Added 23 mins ago
EE
Quality Assurance Analyst
Enerva Energy Solutions
Calgary, AB
- $80,000 to $90,000 CAD / year
- Full-time
…release is reliable, accurate, and easy to use. Working closely with developers and product owners, you will plan and run tests, find and track defects, and help build the automated testing…
Added 23 mins ago
RU
Data and Analytics Technical Manager
RSM US LLP
Toronto, ON · Calgary, AB
- Full-time
RSM is looking for an experienced Hands-On Data and Analytics Technical Manager with expertise in developing, architecting and implementing data and analytics solutions for clients while…
Added 23 mins ago
Senior IT Support Specialist
TextNow, Inc.
Waterloo, ON
…the world connects and that's because we're made up of people with curious minds who bring an optimistic, yet critical lens into the work we do. We're the largest provider of free phone…
Added 38 mins ago
HT
Intern Researcher - Embodied AI
Huawei Technologies Canada Co., Ltd.
AB · Edmonton, AB
- Internship
Proficient in Python, with hands-on experience in modern deep learning frameworks (e.g., PyTorch, TensorFlow).
Added 38 mins ago
HT
Researcher - Embodied AI
Huawei Technologies Canada Co., Ltd.
AB · Edmonton, AB
- Contract
Proficient in Python, with hands-on experience in modern deep learning frameworks (e.g., PyTorch, TensorFlow).
Added 38 mins ago
Senior Security Automation Software Programmer
Epic Games
Montreal, QC
Strong proficiency in one or more modern languages such as Python, Go, TypeScript, or C#, with a track record of shipping production-quality code preferred
Added 38 mins ago
Principal Backend Programmer (Developer Platform)
Epic Games
Montreal, QC
You'll be the senior technical voice across Epic's developer platform: the source control, CI/CD, build, artifact, database and cloud infrastructure that teams across Epic use to build and…
Added 52 mins ago
LM
Full Stack Engineer Sr - E3
Lockheed Martin
Ottawa, ON
- Full-time
Must have excellent people, communication and troubleshooting skills
Added 52 mins ago
EV
January 2027 Industrial Networking (Digital Systems) Co-op
Elk Valley Resources
Sparwood, BC
- $4,117 to $6,167 CAD / month
- Full-time
…environmental performance and building strong partnerships with communities and Indigenous…
Added 52 mins ago
BS
“Data Ingestion Engineer"
Brainhunter Systems Ltd
Toronto, ON
- Contract
Work Style: Hybrid ,3 days in office
Added 52 mins ago
HR
Software QA Engineer
Haply Robotics
Montreal, QC
- Full-time
Ability to read C, C++, Rust, Python, or TypeScript well enough to follow a failure into the source and discuss it with the developer who owns it.
Added 53 mins ago
C
FX Client Testing Support - Applications Development Analyst, AVP
Citi
Mississauga, ON
- Full-time
Citi is hiring a Senior Applications Developer, FX Client Testing to join the FX Technology Client Testing Support team, a global function supporting client onboarding, testing, and…
Added 1 hour ago
BS
ETL & Data Ingestion Engineer
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
Work Style: Hybrid Work - 3 days per week in the office required (Tuesday and Thursday are mandatory) · Successful personnel must have an active Reliability Status Security Clearance / be willing to undergo the Security Clearance process
Added 1 hour ago
P
Software Engineer
PocketHealth
Toronto, ON
- Full-time
…to translate directly into care at every provider you work with. This is a rare opportunity to do work that is technically demanding, deeply human, and genuinely…
Added 1 hour ago
EV
January 2027 Industrial Networking (Digital Systems) Co-op
Elk Valley Resources
Sparwood, BC
- $4,117 to $6,167 CAD / month
…environmental performance and building strong partnerships with communities and Indigenous…
Added 1 hour ago
FM
Machine Learning Software Developer, In-Vehicle Infotainment
Ford Motor Company
Ottawa, ON
- 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 1 hour ago
D
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 1 hour ago
AC
Analyste d'affaires
ALTEN Canada
Montreal, QC
- Full-time
Capacité à lire et idéalement à effectuer des mises à jour mineures sur des scripts Python.
Added 1 hour ago
Intermediate Software Developer, DevOps
Coveo
Montreal, QC · QC
Hands-on programming experience, ideally with Python, and an interest in building tools that simplify the path from code to production.

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

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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