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Added 1 hour ago
MA
Senior AI Engineer
Meeru AI Inc
Remote, Canada
- Other
- Remote
We are looking for a Senior AI Engineer to build the AI and intelligence layer - and help uphold the discipline that keeps it honest. Our output sits adjacent to externally reported…
Added 2 hours ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
✓Databricks Certified Data Engineer or Architect
Added 2 hours ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Pursue Microsoft certifications (Azure Data Engineer, Solutions Architect)
Added 8 hours ago
C
Data Architect
CPKC
Calgary, AB
- Contract
Becoming a qualified conductor or locomotive engineer is the single best way for a management employee to learn the business at CPKC. You may be required to obtain a certification or to…
Added 8 hours ago
M
Senior Software Engineer - Backend
Microsoft
Vancouver, BC
- Full-time
The engineer in this role drives initiatives with company-level impact, ensuring our platform can continue to scale, evolve, and support future Microsoft Ads growth.
Added 9 hours ago
AH
AI/ML Engineer
Axon Health
Ottawa, ON
- Full-time
…safely on their most sensitive data. We're hiring an AI/ML Engineer to build the permission-aware knowledge graph and safety layer behind Axon Health's AI…
Added 11 hours ago
T
Senior AI Engineer (GCP/Vertex AI) Contract
TekRek
Canada
- Contract
Added 13 hours ago
N
Sr. Principal Software Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
We are looking for an experienced software engineer to lead the development of our distributed edge compute platform. This role demands a deep understanding of hyperscalers like AWS, Azure,…
Added 13 hours ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a Senior Machine Learning Engineer to design, build, and deploy scalable ML solutions for our clients. You will work across diverse projects, collaborating with…
Added 13 hours ago
'
Principal Engineer, Digital Manufacturing
''
Toronto, ON
- Full-time
Position Title: Principal Engineer, Digital Manufacturing
Added 14 hours ago
A
Embedded Software Manager
Actalent
Burnaby, BC
- $131,115 to $187,310 CAD / year
- Full-time
Ideal for an Engineering Manager, Software Manager, Team Lead, or an Embedded Engineer looking to move into a larger leadership role while staying close to technology.
Added 14 hours ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 15 hours ago
HC
Research Engineer
Human Computer Lab
Remote, Canada
- Full-time
- Remote
Added 16 hours 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 16 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Google Cloud Professional Machine Learning Engineer
Added 16 hours 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 16 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 17 hours 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 17 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 18 hours ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
Added 18 hours ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 18 hours ago
AS
Cloud DevOps Engineer – Health
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 19 hours ago
LI
Senior AWS SageMaker Engineer
LanceSoft, Inc.
Toronto, ON
- $50 to $55 CAD / hour
- Contract
Added 19 hours ago
RC
MLOps Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 19 hours ago
AI
Senior AWS SageMaker / MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
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…

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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