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Added 27 mins ago
M
Senior Software Engineer, Device & Data Platform
Mecka
Richmond Hill, ON
- $180,000 to $210,000 CAD / year
- Full-time
Added 42 mins ago
R
Lead Software Developer
RBC
Toronto, ON
- Full-time
Minimum 7 years of overall development experience in .NET technologies as a Software Engineer working within professional software engineering practices for the full software development…
Added 42 mins ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 57 mins ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 57 mins ago
Senior Backend Product Developer, SCM Tech Fulfillment
HelloFresh
Toronto, ON
…preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for turning complex logic into clean, reliable systems, and enough full-stack…
Added 57 mins ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 1 hour ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Google Cloud Professional Machine Learning Engineer
Added 1 hour ago
Q
ML Architect
Quantiphi
Canada
- Full-time
As an Architect, Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business…
Added 1 hour ago
P
JAMS Platform Engineer
ProwessSoft
Toronto, ON
- Contract
Engineer and administer JAMS Scheduler| including Scheduler| Agents| Executors| queues| resources and job configuration. Improve platform reliability| performance| capacity| resilience and…
Added 1 hour ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Added 1 hour ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 1 hour ago
Senior Data Warehouse Engineer
Capgemini
Montreal, QC
We are seeking a experienced and results-oriented Senior Data Warehouse Engineer to work our data warehouse modernization and performance optimization initiatives. The ideal candidate will…
Added 1 hour ago
Software Development Engineer , Device Privacy And Data Handling
Amazon
Toronto, ON
We are looking for an experienced, passionate, and technically strong engineer who can architect and deliver innovative, complex, high-impact software systems that delight our customers
Added 1 hour ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
We are seeking a talented Data Engineer to join Amazon's Traffic Engineering organization in developing next-generation bot detection and mitigation capabilities. As a Data Engineer, you'll…
Added 1 hour ago
RC
Renewable Energy Engineer (Entry-Level)
Renewable Careers
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
…are expanding our Toronto team and looking for an entry-level engineer who wants to help build Canada's clean energy…
Added 1 hour ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 1 hour ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
As a Principal Software Engineer, you will be a senior technical leader and strategic influencer shaping Redwood’s RunMyJobs platform. You will drive high-impact technical decisions, own…
Added 2 hours ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 2 hours ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 2 hours ago
TN
Business System Analyst
TEK NINJAS
Toronto, ON
- Contract
Ability to analyse the construction of existing reports and reverse engineer table relationships etc
Added 2 hours ago
QW
Senior AWS SageMaker / MLOps Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Added 2 hours ago
MP
Lead Data Engineer - Temporary Assignment up to 18 months
Municipal Property Assessment Corporation
Pickering, ON
- Temporary
Become a Lead Data Engineer - Temporary Assignment up to 18 months with MPAC
Added 2 hours ago
TN
Business System Analyst
TEK NINJAS
Toronto, ON
- Contract
Ability to analyse the construction of existing reports and reverse engineer table relationships etc
Added 2 hours ago
AC
Data and Modelling Engineer
Amphenol Communications Solutions
Markham, ON
- Full-time
We are seeking a Data and Modeling Engineer to join our IT Applications team. This role will focus on translating business requirements into reliable data models, consistent KPI…
Added 2 hours ago
Intermediate Site Reliability Engineer
ContactMonkey
Toronto, ON
Our mission is to power measurable employee engagement worldwide, and we're looking for an Intermediate Site Reliability Engineer to join our Engineering team.

Charger Logistics Inc.

Data Scientist

Brampton, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 4, 2026
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.

Requirements

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.

Benefits

Competitive Salary
Healthcare Benefit Package
Career Growth

Apply About employer

More about this job

Responsibilities

Develop, deploy, and monitor production-grade machine learning and AI solutions for fleet optimization, logistics operations, forecasting, anomaly detection, and decision support. Build scalable batch and streaming data and ML pipelines, manage MLOps workflows on Google Cloud, and collaborate with stakeholders to turn business needs into analytical solutions.

Requirements

Requires a bachelor's degree or equivalent in data analytics, statistics, mathematics, or computer science, plus at least four 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 deployment, along with knowledge of forecasting, optimization, and modern AI techniques.

Skills

Python
Machine Learning
Artificial Intelligence
Google Cloud
Vertex AI
BigQuery
SQL
Kafka
RisingWave
Snowflake
Time-Series Forecasting
Anomaly Detection
MLOps
Large Language Models
Retrieval-Augmented Generation
Data Pipeline Development

Benefits

Competitive Salary
Healthcare Benefit Package
Career Growth

Visa sponsorship

Not detected in the job text

Keywords

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

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