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Machine Learning Data Associate Jobs in Hamilton, ON

Charger Logistics Inc

Sr. Data Scientist

Brampton, ON · On-site

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 ...

Charger Logistics Inc

Sr. Data Scientist

Brampton, ON · On-site

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 ...

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 ...

Canadiantirecorporation

Senior Data Scientist

Oakville, ON · On-site

CA$64K - CA$106K/yr

The Data Scientist position reports to the Manager, Advanced Analytics Discovery & Design. The ... Research innovative new machine-learning tools and techniques, and assess for suitability for ...

Dialpad

Applied Scientist

Kitchener, ON · On-site +1

Manage massive textual data sets. * Build advanced LLM-based features, including reasoning ... Demonstrated experience with machine learning, Python, PyTorch, and other relevant tools and ...

McKesson

Director Data Engineering

Mississauga, ON · On-site

Lead advanced implementation of Databricks for large-scale data processing, machine learning ... Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert) * Databricks ...

McKesson

Director Data Engineering

Mississauga, ON · On-site

Lead advanced implementation of Databricks for large-scale data processing, machine learning ... Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert) * Databricks ...

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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.

Senior Data Platform Developer - AI Platform

Oakville, ON • On-site

Geotab
See more jobs at Geotabexternal

Full-time

Medical, Dental, Retirement

Re-posted 9 days ago

Key responsibilities

  • Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.

  • Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure.

  • Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Platform Developer who will be building the Geotab internal machine learning and generative AI platform. This role allows all Geotab data scientists and generative AI developers to explore, train, and build machine learning models, gain access to underlying Large Language Models, and build GenAI agent applications for internal services and end customers in production. If you love technology, and are keen to join an industry leader - we would love to hear from you! 

What you'll do:

As a Senior Data Platform Developer, your key area of responsibility will be developing and maintaining new machine learning platforms and managing generative AI applications and agents. You will be responsible for implementing logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure, as well as enriching big data with telematics data at scale. You will need to work closely with Geotab's data scientists and internal teams to understand data processing needs and assist with data integration for newly developed AI platforms. To be successful in this role, you will be a self-starter who is keen to join an industry leader and enjoys working with complex, technical AI concepts.

How you'll make an impact
  • Develop and maintain new machine learning platforms managing the machine learning models and generative AI applications and agents.
  • Develop processes and implement logging, monitoring, and alerting services to ensure the health of Geotab's AI platform infrastructure.
  • Develop processes to enrich Geotab's big data with telematics data at scale.
  • Work with data scientists to understand data processing needs and develop infrastructure solutions to support these initiatives.
  • Create and maintain documentation for architecture, requirements, and process flows.
  • Support internal Geotab teams to assist with data integration with newly developed AI platforms.
What you'll bring to the role
  • Post-secondary Degree specialization in Computer Science, Software or Computer Engineering or a related field.
  • 3-5 years experience in a software developer or a similar role. 
  • 3-5 years experience in developing production-level systems using Python 3.
  • 3-5 years experience in developing and maintaining production services in one of the mainstream cloud providers such as GCP, AWS, or Azure.
  • 1-5 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes, or OpenShift.
  • Knowledge of fine-tuning and self-hosting vision large language models and generative AI related frameworks (Langgraph, CrewAI, LiteLLM) is a big plus.
  • Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph is highly preferred.
  • Knowledge of AI/ML platforms, such as Ray, VertexAI, Bedrock, and familiarity with Big Data environments (e.g. Google BigQuery).
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
 
Why job seekers choose Geotab

Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program

*The above are offered to full-time permanent employees only

How we work
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. Click here to learn more about what happens with your personal data.

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