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Added 6 mins ago
BS
HIL Simulation Controls Engineer
Bartech Staffing
Toronto, ON · Greater Toronto Area, Canada
- $48 to $50 CAD / hour
- Contract
…engaged us to assist them in hiring a contract HIL Controls Engineer in Oshawa, Ontario. If you are interested in an opportunity to get your foot in the door with leading company, we want…
Added 6 mins ago
ZS
DevOps Engineer with (GitHub Actions) for Fulltime Opporrtunity
Zodiac Solutions, Inc
Halifax, NS
- Full-time
Role: DevOps Engineer with (GitHub Actions) or Platform Engineer with AI
Added 7 mins ago
Staff Product Security Engineer, Reviews
Okta
Toronto, ON
…work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with…
Added 7 mins ago
Senior Machine Learning Engineer, Recommendations
Lyft
Toronto, ON
We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial…
Added 7 mins ago
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Spécialiste en intégration de systèmes, IA souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
…collaboration between Université de Montréal and McGill University, with close links to Polytechnique Montréal and HEC…
Added 7 mins ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
Senior Software Engineer, Full-Stack Applications – Python
Added 7 mins ago
AI Engineer
Capco
Toronto, ON
As an AI Engineer, you’ll work directly with our clients to understand business problems and turn them into working AI solutions. Combining hands-on engineering with a consulting mindset,…
Added 22 mins ago
GM
2027 Winter Co-op Vehicle Experience Software Developer
General Motors
Markham, ON
- Full-time
Programming: experience with C, C++, or RUST; exposure to JavaScript or Python a plus.
Added 37 mins ago
AI
Senior L3 AI Engineer
Apptoza Inc.
Montreal, QC
- Contract
Strong scripting and automation skills (e.g. Python, PowerShell, Microsoft Graph API) and familiarity with CI/CD concepts.
Added 37 mins ago
SI
Lead SDET
Spruce InfoTech Inc.
Vancouver, BC
- Contract
QA Automation Lead Engineer (SDET – Python) role focused on building and maintaining scalable automation frameworks with strong Python and Pytest framework.
Added 1 hour ago
NF
Data Engineer
Nature Fresh Farms
Leamington, ON
- $75,000 to $100,000 CAD / year
- Full-time
…scalable data solutions using scripting or query languages (e.g., Python, PowerShell, T-SQL), with version control experience using…
Added 1 hour ago
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Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
- Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…
Added 1 hour ago
Senior Data Scientist I
Bell
Toronto, ON
The Tech Stack: Strong proficiency in Python , SQL, and hands-on experience with machine learning libraries.
Added 1 hour ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 1 hour ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 1 hour ago
Senior Software Engineer, Data Platform
Okta
Toronto, ON
…work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with…
Added 2 hours ago
PT
Product Engineer
Purelend Technologies Inc.
Calgary, AB
- Full-time
We're hiring a senior Product Engineer to sit on that boundary. You're an engineer at the bone. You think in systems, you write production code, and you have the technical credibility to…
Added 2 hours ago
NS
Senior Applied AI Engineer
Network Solutions
Canada
- Full-time
We are looking for a hands on Senior Applied AI Engineer who combines strong software engineering with practical AI problem solving. You will build production AI experiences across Network…
Added 2 hours ago
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Software Engineer - Front End
Microsoft
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 4 hours ago
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Senior Security Engineer
PheedLoop
Toronto, ON
- Full-time
Comfort in modern stacks like Python / Django, React, and AWS. You don't need to be a senior software engineer, but you can read application code, understand a deployment pipeline, and…
Added 5 hours ago
J
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
Added 5 hours ago
J
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 7 hours ago
M
AI Engineer
maru.ai
Engineer, BC
- Full-time
Strong software engineering skills and experience with languages like Python and Go
Added 7 hours ago
M
Software Engineer
maru.ai
Engineer, BC
- Full-time
Develop and maintain backend systems and architecture using Go and Python
Added 7 hours ago
BS
ML/AI Engineer
Brock Software
Engineer, BC
- Full-time
We're seeking an experienced engineer to fine-tune open source models, train them on custom datasets, and deploy them to production using GPU infrastructure on platforms like fly.io.

Charger Logistics Inc

Data Scientist

Brampton, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: 4+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
Posting language: English
Posted: Oct 5, 2026

Original job description

Charger Logistics Inc. is a leading asset-based transportation company with over 20 years of experience delivering innovative logistics solutions. We have evolved into a world-class transport provider and continue to expand across North America.

We invest in our people, fostering an environment where learning, growth, and career advancement are encouraged. As an entrepreneurial organization, we value initiative, creativity, and forward-thinking strategies. We are looking for a Data Scientist to develop, deploy, and scale machine learning (ML) and AI solutions for fleet analytics, logistics optimization, and operational decision-making. This is a hands-on role focusing on production-grade ML, real-time and streaming analytics, and AI-driven decision systems built on cloud platforms, including Google Cloud, Kafka, and RisingWave.

Responsibilities:

Design, develop, and deploy production-grade ML models for fleet optimization, including route optimization, ETA prediction, fuel efficiency, capacity planning, predictive maintenance, and driver behavior analysis.
Build anomaly detection, forecasting, and time-series models to monitor vehicle health, trip deviations, fuel theft, and demand fluctuations.
Develop batch and real-time ML pipelines with low-latency inference using Kafka, RisingWave, and cloud services.
Integrate large language models (OpenAI, Google MCP, Ollama, Hugging Face) for conversational analytics, automated insights, and retrieval-augmented generation (RAG) systems.
Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model Registry, supporting model training, deployment, monitoring, and drift detection.
Build and optimize end-to-end data pipelines for analytics and ML using BigQuery, Dataflow, Dataproc, Vertex AI, Cloud Functions, Pub/Sub, and Cloud Composer (Airflow).
Design scalable analytical data models in BigQuery, AlloyDB PostgreSQL, and Snowflake; optimize SQL-based feature engineering, data partitioning, and clustering.
Perform exploratory data analysis (EDA) to uncover trends, anomalies, and business insights.
Build dashboards and visualizations for stakeholders.
Collaborate with cross-functional teams to translate business problems into robust data science solutions.
Support best practices in model development, experimentation, documentation, and data governance.

Bachelor’s degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science.
4+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost, and LightGBM.
Advanced SQL skills, including CTEs, window functions, and query optimization.
Hands-on experience with Google Cloud, including Vertex AI (training, pipelines, deployment, feature store) and BigQuery (data modeling, performance tuning).
Experience with streaming platforms (Kafka, RisingWave) and Snowflake.
Knowledge of anomaly detection, time-series forecasting, optimization, and applied statistical modeling.
Experience deploying and monitoring ML models in production, including testing, and working with ETL/orchestration tools like Matillion, Airflow, and Cloud Composer.
Familiarity with advanced ML and AI techniques, including LLMs, geospatial or graph ML, computer vision, and GPS data analysis.
Solid understanding of knowledge retrieval patterns including RAG (Retrieval-Augmented Generation), with familiarity of emerging approaches like KAG (Knowledge-Augmented Generation) and CAG (Cache-Augmented Generation).
Experience with Azure, AWS, GCP, Databricks, or multi-cloud deployments is a plus.
Excellent communication and problem-solving skills, with the ability to thrive in fast-paced environments.
Certifications: Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro® Advanced: Data Scientist certification preferred.

Competitive Salary
Healthcare Benefit Package
Career Growth

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More about this job

Responsibilities

Design, develop, and deploy production-grade machine learning models for fleet optimization, logistics, and operational decision-making. Build and maintain scalable data pipelines and MLOps workflows using Google Cloud services and streaming platforms.

Requirements

Requires a bachelor's degree in a quantitative field and at least 4 years of hands-on experience in data science and machine learning. Candidates must possess strong proficiency in Python, advanced SQL, and experience with cloud-based ML deployment and streaming technologies.

Skills

Python
Machine Learning
SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
Data Modeling
Time-series Forecasting
LLMs
ETL
Airflow
Snowflake
Predictive Maintenance
Data Governance

Benefits

Healthcare Benefit Package
Career Growth

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Machine Learning
AI
Fleet Analytics
Logistics
Python
Pandas
NumPy
Scikit-learn
PyTorch
TensorFlow
XGBoost
LightGBM
SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
LLMs
RAG
MLOps
Dataflow
Dataproc
Cloud Composer
Snowflake
Time-series Forecasting
Anomaly Detection
ETL
Data Governance

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