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Machine Learning Data Associate Jobs in Hamilton, ON

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

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 ...

Faire

Staff Machine Learning Platform Engineer

Kitchener, ON · On-site +1

CA$216K - CA$297K/yr

About this role As a Staff Machine Learning Platform Engineer, you will help design, improve, and ... You are the technical bridge between data science and production engineering. You'll be joining a ...

Larus Technologies

Data Scientist

Ottawa, ON · On-site

We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems, while communicating directly with ...

Canadian Tire

Data Scientist

Oakville, ON · On-site

CA$53K - CA$88K/yr

Lead machine learning projects that drive origination, credit limit and collection strategies ... University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data ...

Canadian Tire

Data Scientist

Oakville, ON · On-site

CA$53K - CA$88K/yr

Lead machine learning projects that drive origination, credit limit and collection strategies ... University degree in STEM or data science. Postgraduate degree in mathematics, statistics, data ...

Canadiantirecorporation

Data Scientist

Oakville, ON · On-site

CA$53K - CA$88K/yr

Lead machine learning projects that drive origination, credit limit and collection strategies ... Deploy new models, implement updates, track data transfers, oversee scoring activities, and manage ...

McKesson

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

Apply advanced data science and machine learning techniques across a wide range of use cases including predictive modeling, forecasting, classification, anomaly detection, recommendation systems, NLP ...

McKesson

Lead Data Scientist - AgenticAI

Mississauga, ON · On-site +1

Apply advanced data science and machine learning techniques across a wide range of use cases including predictive modeling, forecasting, classification, anomaly detection, recommendation systems, NLP ...

McKesson

Senior/Lead Data Scientist

Mississauga, ON · On-site +1

Senior / Lead Data Scientist Current Need: The Senior / Lead Data Scientist is responsible ... Develop custom machine learning models and algorithms tailored to business needs. Apply these ...

McKesson

Senior/Lead Data Scientist

Mississauga, ON · On-site +1

Senior / Lead Data Scientist Current Need: The Senior / Lead Data Scientist is responsible ... Develop custom machine learning models and algorithms tailored to business needs. Apply these ...

Pelmorex

Data Engineer, DMP

Oakville, ON · Hybrid

Accomplished in the use of data analysis and machine learning packages such as pandas, Jupyter, and TensorFlow. * Big plus: Prior knowledge of the advertising domain and its technology stack. YOU ARE ...

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Showing results 21-40

All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Hamilton, ON

Machine Learning Data Associate information

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Hamilton, ON are hiring for Machine Learning Data Associate jobs?

Cities near Hamilton, ON with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Hamilton, ON as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 16% Part Time, 1% Temporary, and 6% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Charger Logistics Inc

Brampton, ON • On-site

Full-time

Posted 8 days ago

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

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