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Added 6 days ago
Applied AI Engineer
Syntrace
Toronto, ON
Full-time
We are now hiring an Applied AI Engineer, based in Toronto.
Added 6 days ago
Senior Cloud DevOps Engineer
Charger Logistics Inc
Brampton, ON
Full-time
The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting…
Added 6 days ago
Sr. Data Scientist
Charger Logistics Inc
Brampton, ON
Full-time
Strong experience in Python, including libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, XGBoost, and LightGBM.
Added 6 days ago
Senior AI Engineer
Charger Logistics Inc
Brampton, ON
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 10 days ago
Senior Controller Integration Engineering
General Motors
Markham, ON · Oshawa, ON
Full-time
We are seeking a senior engineer to join our Autonomous Vehicle Integrity Platform (AVIP) organization in a role that combines software triage and data analysis with cross-functional…
Added 6 days ago
Specialist Software Cloud Developer
CPKC
Calgary, AB
Full-time
Utilize SQL, Python, Informatica, Snowflake, PySpark, and additional data integration technologies to wrangle, transform, and consolidate data from on-premises and cloud environments
Added 7 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Engineer: Senior Data Engineer – Zonda – Toronto, ON
Added 6 days ago
Cloud & AI Apps Solution Engineer
Microsoft
Calgary, AB
Full-time
…we invite you to join our team as a Cloud & AI Apps Solution Engineer for commercial customers at…
Added 7 days ago
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Engineer: Senior Data Engineer – Zonda – Toronto, ON
Added 7 days ago
Senior Data Quality Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
Senior Data Quality Engineer: Senior Data Quality Engineer – Zonda – Toronto, ON
Added 7 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 7 days ago
FY27 Intern - MSIP Digital Design Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
Full-time
Mentorship: You will be paired with an engineer dedicated to your growth and success.
Added 7 days ago
FY27 Intern - MSIP Digital Design Verification Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
Full-time
Mentorship: You will be paired with an engineer dedicated to your growth and success.
Added 7 days ago
FY27 Intern - Silicon Validation Engineer, Electrical and Optical Systems Internship - Canada (16 months)
Qualcomm
Ottawa, ON
Full-time
Familiarity with Python and object-oriented programming concepts; experience developing or maintaining software tools is a strong asset
Added 6 days ago
Cloud, Automation & AI Engineer - Senior Consultant
Deloitte
Toronto, ON
Full-time
As a Cloud, Automation & AI Infrastructure Engineer, Senior Consultant, you will play a key role in designing, implementing, and modernizing cloud and AI-enabled technology platforms that…
Added 6 days ago
Project Estimation Manager [On-Site, Hybrid or Remote] - Gestionnaire Estimation des Projets [Sur Place, Hybride ou Télétravail] | - FR
EDF power solutions North America
Montreal, QC
Full-time
…coverage and technical continuity for the Senior Data Solutions Engineer during periods of absence or elevated workload demand. As such, the ideal candidate will bring a strong foundation…
Added 24 days ago
Data Engineer (Intermediate - Senior)
KF Aerospace
Kelowna, BC
$73,000 to $114,000 CAD / year
Full-time
KF Aerospace is seeking a Data Engineer to support the design, development, and modernization of our enterprise data platform. This role will help drive the implementation of scalable data…
Added 7 days ago
Associate Cloud Engineer
Aptiv
Ottawa, ON
Full-time
As an Associate Cloud Engineer, you will join Wind River's Cloud Platform Engineering team and contribute to the development of cloud-native infrastructure solutions that power…
Added 7 days ago
Associate Cloud Engineer
Aptiv
Ottawa, ON · ON
Full-time
As an Associate Cloud Engineer, you will join Wind River's Cloud Platform Engineering team and contribute to the development of cloud-native infrastructure solutions that power…
Added 6 days ago
Engineering Manager, Forward Deployed Engineering (LLM)
Baseten
Toronto, ON
$260,000 to $380,000 USD / year
Full-time
…languages in a production-level environment, with a preference for Python due to its relevance in ML…
Added 6 days ago
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 7 days ago
Software Engineer, Data Acquisition
Nascent
Remote, Canada
Full-time · Remote
…proficient in at least one major programming language (Go, Python, C++, Java, or similar) - the stack is primarily Rust, and prior Rust experience is a strong plus, but if you haven't…
Added 6 days ago
Lead Validation Engineer - Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
Full-time
As an Lead Domain Validation Engineer in the Data Center and GPU Accelerated Processing Division, you will drive IP domain and power-management validation for AMD Data Center GPU products…
Added 6 days ago
Test Engineer - Data
The Citco Group Limited
Toronto, ON
Full-time
…world's largest institutional clients. We are seeking a Test Engineer specializing in Data and data platforms (Databricks) to ensure the quality and reliability of our data…
Added 7 days ago
Senior Integration Engineer
Agiloft
Canada
Full-time
We are hiring a Senior Integration Engineer to build and productize integrations between Agiloft and strategic ISV partners. This is a hands-on engineering role with regular partner…

Charger Logistics Inc

Sr. Data Scientist

Brampton, ON, Canada

Job type: Full-time
Experience: 6+ years of hands-on experience in data science and machine learning/AI, delivering production-grade ML solutions.
Posting language: English
Posted: Sep 18, 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.

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.

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 and operational decision-making. Build and maintain real-time data pipelines and integrate large language models to provide automated insights and conversational analytics.

Requirements

Requires a bachelor's degree in a quantitative field and at least 6 years of hands-on experience in data science and machine learning. Candidates must possess strong proficiency in Python, advanced SQL, and experience with Google Cloud platform services.

Skills

Python
Machine Learning
SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
Data Pipelines
LLMs
Time-series forecasting
Anomaly detection
Optimization
Data modeling
MLOps
Statistics

Benefits

Healthcare Benefit Package

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
AI
Fleet Analytics
Logistics
Python
SQL
Google Cloud
Vertex AI
BigQuery
Kafka
RisingWave
LLMs
RAG
MLOps
Data Pipelines
Time-series
Forecasting
Optimization
Predictive Maintenance
Snowflake
Airflow
Cloud Composer
Data Modeling
Statistics
Feature Engineering
ETL
Geospatial ML
Computer Vision
Dashboarding

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