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Ml Data Associate Jobs in Toronto, ON (NOW HIRING)

Collaborate with data engineers to ensure reliable, scalable data pipelines that support model ... Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning ...

Associate Data Scientist - GenAI

Toronto, ON · Hybrid

CA$69.53K - CA$115.88K/yr

We are seeking a highly skilled and motivated Associate Data Scientist to join our team! You will ... Collaborate with data engineers and ML engineers to integrate data science solutions into existing ...

Associate Data Scientist

Toronto, ON · Hybrid

CA$80.63K - CA$134.38K/yr

We are seeking a motivated Associate Data Scientist to join the Long Term Care (LTC) Fraud, Waste ... ML engineers to translate fraud and risk problems into scalable analytical solutions. This role ...

... ML workloads. * Partner with technical and business stakeholders to translate business demand into required data capabilities and ensure our data platform ecosystem is providing exceptional value to ...

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 ... Stay current with emerging AI/ML technologies, tools, and engineering practices What You Bring

Associate Attorney

Toronto, ON · On-site +1

CA$55 - CA$135/hr

Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener . Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume

If you're passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse ... As an AI Discovery Associate, you will work at the intersection of data and business strategy ...

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Showing results 1-20

Ml Data Associate information

What are the key skills and qualifications needed to thrive as an ML Data Associate, and why are they important?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What are some common challenges faced by ML Data Associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.

What are ML Data Associates?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

What are popular job titles related to Ml Data Associate jobs in Toronto, ON? For Ml Data Associate jobs in Toronto, ON, the most frequently searched job titles are:
Infographic showing various Ml Data Associate job openings in Toronto, ON as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

AI & Data Associate Director - Energy Providers EM&V

Guidehouse

Toronto, ON

CA$135K - CA$225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

38th of 57 rated business consultants


Job description

Job Family:

Data Science Consulting


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:

We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on Evaluation, Measurement & Verification (EM&V) of utility energy efficiency and demand side management (DSM) programs for commercial energy providers. This individual will be a hands-on leader, responsible for overseeing evaluations for complex portfolios of DSM programs and driving business growth through proactive sales efforts. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through cutting-edge evaluation of program including of load management and demand response, energy efficiency, renewable, EV, energy storage, decarbonization, and electrification. This is a leadership role for someone who thrives at the intersection of EM&V, AI and advanced analytics and market growth.

Client Leadership & Engagement

  • Lead client engagements end-to-end from strategy through implementation, which can include supporting program design, defining evaluation methodologies, overseeing execution of the evaluation, presenting results including the translation of findings into meaningful and actionable recommendations, and developing regulatory filings.
  • Develop and document evaluation methodologies using best practice, leading-edge techniques.
  • Oversee and collaborate with team members and take ownership of project schedules, budgets, and delivery excellence.
  • Drive new business opportunities by identifying client needs, shaping proposals, and expanding relationships into strategic partnerships.
  • Develop and maintain relationships with key clients and stakeholders to build grow accounts and influence buying decisions.

Solution Development & Innovation

  • Drive end-to-end solution development leveraging AI and advanced analytics, with a strong emphasis on utility customer program evaluation methodologies.
  • Stay ahead of industry trends and emerging technologies to inform solution development and position offerings competitively in the market.

Team & Practice Leadership

  • Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants.
  • Own business development activities including pipeline generation, proposal development, and strategic pursuits to meet growth targets.
  • Contribute to recruiting, talent development, and thought leadership within the practice.


What You Will Need:

  • Minimum SEVEN (7) years of experience in the energy industry with a proven track record in managing projects and business development-including client relationship management, opportunity identification, and contribution to revenue growth.
  • Minimum FIVE (5) years of experience leading DSM program evaluations.
  • Deep understanding of DSM customer program evaluation methodologies for load management and demand response, energy efficiency, renewable, EV, energy storage, decarbonization, and electrification programs.
  • Ability to translate technical results into actionable insights and value propositions during client engagements.
  • Demonstrated proficiency in one or several programming languages (such as R and R's "Tidyverse" packages, Python, SQL), version control (such as GitHub), and AI-assisted coding (such as GitHub Copilot).
  • Demonstrated proficiency with data visualization and experience with data visualization tools (e.g., R Shiny, Dash, PowerBI).
  • Demonstrated proficiency with spreadsheets, databases, word processing, and slide presentation software.
  • Academic or professional experience with one or several AI software, such as CoPilot, ChatGPT, Gemini, Claude
  • Ability to assume ownership of significant portions of tasks while collaborating with a close-knit team.
  • Proven experience across the business development lifecycle-including opportunity identification, capture strategy, and proposal development-while ensuring alignment with technical delivery.
  • Track record of leading large-scale evaluation engagements from concept through execution, while simultaneously expanding client relationships and uncovering new revenue opportunities.
  • Skilled at motivating and guiding multi-disciplinary teams of evaluation specialists to deliver at scale while fostering a growth-oriented culture.
  • Exceptional communication, facilitation, and relationship-building skills that drive trust, collaboration, and commercial success.


What Would Be Nice To Have:

  • Experience with AI/ML technologies, modern data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and advanced analytics methodologies
  • AI/LLM Certifications
  • Project Management Professional (PMP)
The annual salary range for this position is $135,000.00-$225,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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