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Added 1 hour ago
Full Stack Product Engineer
Go-Get Data Consultancy
Remote, Canada
$240,000 to $320,000 USD / year
Full-time · Remote
Added 1 hour ago
System Engineer
Vertage Global
ON · Ontario, Canada
Contract
Hiring: AI/ML Systems Engineer – Vehicle Diagnostics & Observability
Added 1 hour ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer II to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 2 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 hours ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 3 hours ago
Senior Cloud Engineer
Vertage Global
Ottawa, ON
Contract
We are seeking a highly skilled Cloud Engineering Senior Engineer to join a dynamic Agile team responsible for designing, developing, and supporting a next-generation Telemetry &…
Added 3 hours ago
AI Engineer
Tiger Analytics
Toronto, ON
Full-time
…partnerships with leading hyperscalers enable Tiger Analytics to engineer cutting-edge Data & AI solutions that move beyond standard playbooks. With a team of over 5000 technologists and…
Added 3 hours 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 3 hours 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 3 hours 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 4 hours ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Senior Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 4 hours 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 4 hours ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 5 hours ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Full-time
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 5 hours ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 5 hours ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 6 hours ago
Sr. Data Scientist
Charger Logistics Inc.
Brampton, ON
Full-time
Certifications: Google Cloud Professional Data Engineer or Machine Learning Engineer is an asset; SnowPro® Advanced: Data Scientist certification preferred.
Added 6 hours ago
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
$95,000 to $135,000 CAD / year
Full-time
Morson Edge is seeking an experienced Cloud Engineer to join a growing infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is…
Added 8 hours ago
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
Full-time
Boeing Vancouver is seeking a Senior DevOps Engineer, reporting to the Manager of Defence & Government Services working out of the Richmond, BC office.
Added 8 hours 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 8 hours ago
[New Grad] Applied AI Engineer
Ranger AI
Canada
Full-time
This is a remote/hybrid role for an Applied AI Engineer at Ranger AI.
Added 10 hours ago
Senior Database Engineer (Snowflake)
Cvent
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Full-time
Cvent is seeking a Senior Database Engineer with deep Snowflake expertise to help design, manage,
Added 15 hours ago
Staff AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Added 18 hours ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 18 hours ago
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…

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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