Jobs in Canada

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Added 20 mins ago
System Engineer
Vertage
Ottawa, ON · Kanata, ON
Full-time
seeking a Systems Engineer to support its AI-powered End-to-End Software Diagnostics & Observability initiative for next-generation software-defined vehicles. This role will help define,…
Added 21 mins ago
Cloud Engineer
Vertage
Ottawa, ON · Kanata, ON
Contract
Seeking a Cloud Engineer with experience in cloud-native application development, API integration, and platform engineering. The role involves building and supporting Ford's Telemetry &…
Added 23 mins ago
Senior Software Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
Full-time
This position is well suited for someone who combines strong software engineering fundamentals with hands-on experience applying AI technologies to solve real-world problems. As a Senior…
Added 23 mins ago
RTL Design Engineer
Advanced Micro Devices, Inc
Markham, ON
Full-time
Experience with scripting/automation languages like Python/Perl
Added 36 mins ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 36 mins ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
…job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop…
Added 36 mins ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
Scripting experience with Python, Bash, or a similar language
Added 36 mins ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 36 mins ago
AI Engineer, Mid Level
Jobright.ai
Canada
Full-time
…and helps users find better job outcomes. The Mid-Level AI Engineer designs, builds, evaluates, deploys, and operates machine learning and generative AI capabilities, including…
Added 36 mins ago
Manager AI Engineering-CA
CN
Montreal, QC
Full-time
…equivalent experienceGoogle Cloud, Vertex AI, Machine Learning Engineer, Data Engineer, or related cloud or AI certification*Candidates with equivalent practical experience, education, or…
Added 37 mins ago
Production Support Engineer (Salesforce)
Capgemini
Toronto, ON
Coordinate releases, bug fixes, and enhancements with internal teams and vendors
Added 50 mins ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
…helps users reach better job outcomes. The Machine Learning Engineer Intern will develop and evaluate machine-learning features, support data pipelines and integrations, investigate model…
Added 50 mins ago
Full Stack Engineer
ALTEN Canada
ON · Ontario, Canada
Other
…Engineering, IT Services, Life Sciences, and Network Services. With a presence in more than 30 countries and a team of over 60,000 employees, we are trusted by industry leaders worldwide to…
Added 50 mins ago
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
Contract
Experience with Infrastructure-as-Code (Terraform).
Added 51 mins ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Senior Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 51 mins ago
Hardware Test Engineer - Contract 3+ Months
Kepler Communications Inc.
Toronto, ON
Contract
…enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling…
Added 51 mins ago
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
Added 1 hour ago
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
Full-time
Experience with React, Next.js, Node.js, Python, or similar technologies
Added 1 hour ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Job Title: Sr Integration Engineer (Intelligent Automation)
Added 1 hour ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You'll own the complete observability…
Added 1 hour ago
Senior AI Engineer
Tangerine
Toronto, ON
Full-time
…agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of…
Added 1 hour ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics…
Added 1 hour ago
Senior AI Engineer
Scotiabank
Toronto, ON
…agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of…
Added 1 hour ago
Lead DevOps Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…streamlining the software delivery lifecycle? As a Lead DevOps Engineer, you will play a critical role in bridging the gap between development and operations, ensuring that our applications…
Added 1 hour ago
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…

Charger Logistics Inc.

Sr. Data Scientist

Brampton, ON, Canada

Job type: Full-time
Apply by: Oct 25, 2026
Experience: 6+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
Posting language: English
Posted: Sep 25, 2026

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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 Sr. 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.

Requirements

Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science.
6+ 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.

Benefits

Competitive Salary
Healthcare Benefit Package
Career Growth

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More about this job

Responsibilities

Develop, deploy, and scale production machine learning and AI solutions for fleet optimization, logistics analytics, forecasting, anomaly detection, and operational decision-making. Build batch and real-time data and ML pipelines, manage cloud-based MLOps workflows, create analytical models and dashboards, and collaborate with teams to turn business needs into data science solutions.

Requirements

Requires a bachelor's degree or equivalent in a relevant quantitative or computing field and at least six years of hands-on data science and machine learning experience delivering production solutions. Candidates should have strong Python and SQL skills, experience with Google Cloud, Vertex AI, BigQuery, streaming platforms, and production ML operations, plus knowledge of forecasting, optimization, LLMs, and retrieval methods.

Skills

Machine Learning
Python
Advanced SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
Snowflake
Time-Series Forecasting
Anomaly Detection
MLOps
Large Language Models
Retrieval-Augmented Generation
Data Pipelines
Data Visualization

Benefits

Competitive Salary
Healthcare Benefit Package
Career Growth

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
NumPy
Scikit-Learn
PyTorch
TensorFlow
XGBoost
LightGBM
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
Snowflake
AlloyDB PostgreSQL
Dataflow
Dataproc
Cloud Functions
Pub/Sub
Cloud Composer
Airflow
Matillion
MLOps
Machine Learning
Large Language Models
Retrieval-Augmented Generation
Time-Series Forecasting
Anomaly Detection
Geospatial Machine Learning
Google Cloud Professional Data Engineer

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