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Machine Learning Data Associate Jobs in Kitchener, ON

AstraZeneca

Process Engineering Intern

Hamilton, ON · On-site

Data skills: Proficiency in machine learning and applications of AI. GMP awareness: Familiarity with Good Manufacturing Practices and Good Documentation Practices; prior regulated industry exposure ...

New

CSMC

Geophysicist

Waterloo, ON · On-site

Understanding of geostatistics, data analytics, or machine learning applications in geoscience. * Strong communication skills with the ability to present technical concepts to both technical and non ...

Smarter Alloys

Materials Science Engineer

Cambridge, ON · On-site

Data-driven approach to project execution and process development * Experience working within a Quality Management System * Exposure to automation, machine learning, or materials informatics WORKING ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Kitchener, 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 Kitchener, ON are hiring for Machine Learning Data Associate jobs?

Cities near Kitchener, 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 Kitchener, ON as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Engineering Specialist

Waterloo, ON • On-site

BlackBerry Corporation
See more jobs at BlackBerry Corporationexternal

CA$108K - CA$152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago

Key responsibilities

  • Embed with business teams to map processes, identify high-value AI use cases, and translate business problems into AI solutions.

  • Rapidly prototype, build, deploy, and operate AI agents and copilots across Azure and AWS cloud environments, including extending and orchestrating them.

  • Create self-serve templates and guardrails to enable less-technical users to safely create and run their own AI agents.

Job description

Worker Sub-Type:

Regular

Job Description:

About the role

BlackBerry IT is investing in practical, secure AI to make every employee more capable. We're hiring anAI Engineering Specialistto sit at the intersection of the business and our AI platform. The person teams come to when they want to understand what's possible, and the person who then builds it, and deploys it to the cloud

This is a a builder-enabler role: you'll embed with functions across BlackBerry (Finance, Sales, Legal, HR, Operations, Engineering support), find the highest-value use cases, prototype agents and copilots, deploy them securely across ourAzure and AWSenvironments, and turn one-off wins into reusable patterns that scale. Throughout, you'll keep less-technical colleagues firmly in the driver's seat.

What you'll do

Find and frame the value

  • Embed with business teams to map their processes and pain points and identify where AI agents create the highest leverage.
  • Translate ambiguous business problems into well-scoped AI solutions with clear before/after metrics.

Build and deploy

  • Rapidly prototype and ship AI solutions using Python and LLM APIs (e.g., Azure OpenAI,Amazon Bedrock, Anthropic Claude).
  • Build agents and copilots using Microsoft Copilot Studio, Azure AI Foundry, and the M365 ecosystem; extend Copilot with custom plugins and declarative agents that surface enterprise data in Teams and Office.
  • Build and orchestrate agents on AWS usingAmazon Bedrock (Agents, Knowledge Bases, Guardrails)and related services.
  • Deploy and operate agents on cloud infrastructure leveraging Azure (Container Apps, Functions) and AWS (Lambda, ECS/Fargate, Bedrock), with appropriate state management, monitoring, and cost controls.
  • Implement RAG patterns over BlackBerry's enterprise content usingAzure AI Search and/or Amazon Bedrock Knowledge Bases / OpenSearch(vector + semantic search).

Enable less-technical users

  • Turn skeptics into users and users into builders.
  • Create self-serve templates, playbooks, and guardrailed building blocks so business users can safely create and run their own agents.
  • Act as the bridge between the platform/engineering teams who build foundational capability and the business who consumes it, translating requirements in both directions.

Do it securely and responsibly

  • Partner with Security, Privacy, and Governance to ensure every deployment meets BlackBerry's data-protection, access-control, and Responsible AI standards - fitting for a company whose business is trust and security.
  • Apply cloud-native security controls across providers (Azuremanaged identities/private endpoints/content safety;AWSIAM, VPC endpoints, Bedrock Guardrails).
  • Build evaluation, human-in-the-loop, and monitoring practices in from day one.

What you'll bring

Required

  • 4+ years in software/AI/data engineering or technical consulting, with hands-on delivery of working solutions (not just prototypes).
  • Strong Python; experience integrating LLM APIs and building agentic or RAG workflows.
  • Experience deploying applications to Azure and/or AWS, including containerized/serverless patterns.
  • Proven ability to explain complex technical topics to non-technical audiences and to context-switch between a deeply technical and a commercial conversation.

Preferred

  • Hands-on with theAWS AI stack: Amazon Bedrock, SageMaker, Lambda, and AWS agent/orchestration tooling.
  • Hands-on with the Microsoft GenAI stack: Copilot Studio, Azure AI Foundry, M365 Copilot extensibility, Power Platform.
  • Familiarity with agent frameworks/orchestration and agent protocols such as MCP.
  • Cloud certifications such asAWS Certified Machine Learning / AI PractitionerorMicrosoft Azure AI Engineer Associate.
  • Experience embedding Responsible AI, evaluation frameworks, and enterprise security controls.
  • Background working in a security or compliance-sensitive enterprise.

Scheduled Weekly Hours:

40

Compensation Hiring Base Salary Range:

$108,750.00 - $152,250.00

Please be advised that the compensation hiring range indicated herein is provided solely as a good-faith estimate of expected base compensation for the position. The actual compensation offered will be determined at the time of hire and is contingent upon multiple factors, including but not limited to the candidate's qualifications, relevant experience, demonstrated skills, and results of assessments conducted during the hiring process.

Bonus:

The BlackBerry Variable Incentive Pay (VIP) program is an organization-wide bonus incentive program which aims to reward full-time eligible employees for their contribution to BlackBerry's success. VIP payments are made in addition to base salary and factor in company's performance as a way for employees to share in BlackBerry's achievements.

Benefits:

The BlackBerry Employee Benefits programs offer a wide range of benefits that support your physical, financial and personal well-being. BlackBerry remains committed to offering affordable benefits including coverage for medical, dental, vision, life, disability insurance, retirement, employee share purchase program and paid-time-off to those that meet the eligibility requirements.

Disclosure of Position Status:

This is an active opening. We are seeking to fill this position immediately

Disclosure of Artificial Intelligence:

We donot use artificial intelligence (AI)to screen, assess, or select applicants at any stage of our recruitment process. All applications are reviewed and evaluated by our hiring team.

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