Jobs in Canada

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Added 56 mins ago
Senior Quality Process Development Engineer
Semtech
Burlington, ON
Full-time
The Senior Quality Process Development Engineer will collaborate on the design, development, and validation the statistical and machine-learning systems at the core of Semtech's quality…
Added 1 hour ago
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
Full-time
Added 1 hour ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
Stand up the governance backbone - Dataplex catalog, lineage, quality rules, row/column-level security, VPC-SC - so downstream analytics and AI workloads are safe and auditable.
Added 1 hour ago
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
Full-time
GCP certification (Professional Cloud Architect, Professional Machine Learning Engineer, or Generative AI Leader).
Added 1 hour ago
AI Engineer
Insight
Remote, Canada
Full-time · Remote
As an AI Engineer, you will design and implement production-grade AI agents and multi-agent systems that use tools, call APIs, reason over enterprise data, and power modern mobile, web, and…
Added 1 hour ago
Data Engineer Sr
Insight
Toronto, ON
Full-time
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms that enable analytics, reporting, operational intelligence, and AI-driven solutions.
Added 1 hour ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 1 hour ago
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
Vacancy Name Senior Azure engineer Vacancy No VN878 Function Syn - Delivery & Operations Work Location Isle of Man or United Kingdom Basis Permanent Full Time/Part Time Full time Employment…
Added 1 hour ago
Infrastructure Engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
Vacancy Name Infrastructure Engineer Vacancy No VN968 Function Syn - Delivery & Operations Work Location One St Peter's Square, Manchester, M2 3DE Basis Permanent Full Time/Part Time Full…
Added 1 hour ago
Senior Infrastructure Engineer (Linux & Cloud Automation)
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
Job Details: Senior Infrastructure Engineer (Linux & Cloud Automation)
Added 1 hour 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 1 hour ago
Sessional Lecturer: IMI2995H - Special Topics in Urban Innovation - Urban Analytics: Data, Methods,
University of Toronto - Woodsworth College
Toronto, ON · Greater Toronto Area, Canada
Full-time
Sessional Lecturer: IMI2995H – Special Topics in Urban Innovation - Urban Analytics: Data, Methods, Mapping, and Visualization
Added 1 hour ago
AWS Data Engineer
Apptoza Inc.
Toronto, ON
Contract
Work with business and analytics teams to understand data requirements.
Added 1 hour 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 1 hour 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 1 hour ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…
Added 2 hours ago
Sales Intern - Edmonton, AB
Victaulic
AB · Greater Edmonton Metropolitan Area
Full-time
We engineer change for a more stable and sustainable world.
Added 2 hours ago
Sales Intern - GTA
Victaulic
Toronto, ON · Greater Toronto Area, Canada
Full-time
We engineer change for a more stable and sustainable world.
Added 2 hours ago
Cloud Security Architect
Affinity
Vancouver, BC
Contract
Guide the design and adoption of Microsoft Defender for Cloud, Microsoft Sentinel, Azure Monitor, Log Analytics, diagnostic settings, monitoring automation and cloud security dashboards.
Added 2 hours ago
Full Stack Product Engineer
Go-Get Data Consultancy
Remote, Canada
$240,000 to $320,000 USD / year
Full-time · Remote
📊 Analytics, observability, and marketing intelligence systems
Added 3 hours ago
System Engineer
Vertage Global
ON · Ontario, Canada
Contract
Hiring: AI/ML Systems Engineer – Vehicle Diagnostics & Observability
Added 3 hours ago
Python Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a Python Engineer, New Grad, you will contribute to backend services, data pipelines, APIs, and AI-powered workflows used by real job…
Added 3 hours ago
Python Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a Python Engineer, New Grad, you will contribute to backend services, data pipelines, APIs, and AI-powered workflows used by real job…
Added 3 hours ago
Member of Technical Staff 2- DataHub
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 3 hours ago
Member of Technical Staff 2 - DataHub
Nutanix
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…

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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