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Added 26 days ago
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Développeur/Développeuse GenAI / IA Générative | GenAI / Generative AI Developer
Cossette
Montreal, QC
- Full-time
Solides compétences en Python dans un contexte ML/AI, et bonne maîtrise de JavaScript / TypeScript pour l'intégration et le déploiement web.
Added 26 days ago
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Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)
IBM
Montreal, QC
- $91,375 to $129,000 CAD / year
- Full-time
As a Machine Learning Developer Associate, you will have the opportunity to work with industry-leading machine learning technologies on cloud platforms such as IBM Cloud, Microsoft Azure,…
Added 26 days ago
I
Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)
IBM
Toronto, ON
- $91,375 to $129,000 CAD / year
- Full-time
As a Machine Learning Developer Associate, you will have the opportunity to work with industry-leading machine learning technologies on cloud platforms such as IBM Cloud, Microsoft Azure,…
Added 26 days ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Montreal, QC
- $91,375 to $129,000 CAD / year
- Full-time
Experience with one or more programming languages, preferably Python
Added 26 days ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Toronto, ON
- $91,375 to $129,000 CAD / year
- Full-time
Experience with one or more programming languages, preferably Python
Added 26 days ago
I
Machine Learning Developer Associate / Développeur(euse) en apprentissage automatique associé(e)
IBM
Calgary, AB
- $91,375 to $129,000 CAD / year
- Full-time
As a Machine Learning Developer Associate, you will have the opportunity to work with industry-leading machine learning technologies on cloud platforms such as IBM Cloud, Microsoft Azure,…
Added 26 days ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Calgary, AB
- $91,375 to $129,000 CAD / year
- Full-time
Experience with one or more programming languages, preferably Python
Added 1 month ago
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PYTHON DEVELOPER - GENAI / AI
SIDRAM TECHNOLOGIES
Mississauga, ON
- Full-time
Looking for a Python Developer with strong expertise in Generative AI, LLMs, RAG, Agentic AI, Data Engineering, and MLOps to build and deploy enterprise-grade AI solutions.
Added 1 month ago
ST
PYTHON DEVELOPER - GENAI / LLM
SIDRAM TECHNOLOGIES
Mississauga, ON
- Full-time
GenAI Integration with Enterprise Applications
Added 1 month ago
TA
Manager, Analytics Consulting
Tiger Analytics
Canada
- Full-time
Rapidly prototype solutions: Use GenAI, Agentic AI, analytics and low-code/no-code tools to rapidly explore ideas, analyze information and develop working prototypes.
Added 26 days ago
Software Development Engineer in Test, Full Stack, Creativity Apps
Apple
Vancouver, BC
Fluent in Python, Swift, and/or JavaScript to prototype features, create, and test with internal tools.
Added 1 month ago
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Senior Software Engineer, GenAI Workflows
Eyeline
Vancouver, BC
- $165,000 to $200,000 CAD / year
- Full-time
…studio. We are seeking an accomplished and highly motivated developer for our GenAI Workflows team – someone with a proven track record of delivering robust ML-based solutions in…
Added 27 days ago
V
Senior AI/ML Scientist
Vanguard
Toronto, ON
- Full-time
Experience with machine learning development lifecycle and AI/ML methods such as Transformers, Diffusion Models, SHAP, LLM and GenAI etc.
Added 1 month ago
OS
Python Developer
Open Systems Technologies
Mississauga, ON
- Contract
…building and supporting modern software solutions leveraging Python, microservices, APIs, event-driven architectures, and emerging AI…
Added 27 days ago
L(
AI Benchmark Engineer | Native Language Specialist - French (Canada) - Remote
LILT (Production)
Remote, Canada
- Contract
- Remote
Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing.
Added 28 days ago
TA
Manager / Sr Manager, Analytics Consulting - Retail/CPG
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Leverage GenAI, Agentic AI, analytics, and low-code/no-code tools to rapidly prototype solutions and accelerate decision-making.
Added 1 month ago
C
Gen AI Engineering and Scaled AI Transformation
Citi
Mississauga, ON
- Full-time
Brings strong hands‑on software engineering credibility, setting standards for Python‑based GenAI services.
Added 1 month ago
C
Generative AI Engineer -Vice President
Citi
Mississauga, ON
- Full-time
Lead the design, development, and maintenance of highly complex Python-based GenAI platforms, applications, services, and supporting infrastructure to ensure seamless operation,…
Added 1 month ago
QA Engineer III
Zafin
Toronto, ON
Strong automation experience using tools and frameworks such as Selenium, Cypress, Playwright, Rest Assured, Java, Python, or equivalent technologies.
Added 1 month ago
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Data Scientist ⭐
Achievers
Toronto, ON
- Full-time
Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML.
Added 1 month ago
TA
Manager, Analytics Consulting (Retail/CPG)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Rapidly prototype solutions: Use GenAI, Agentic AI, analytics and low-code/no-code tools to rapidly explore ideas, analyze information and develop working prototypes.
Added 1 month ago
SL
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…Engineer with 3+ years of development experience. You will drive GenAI innovation, implement cutting-edge cloud capabilities, and build scalable solutions that transform how we work. This…
Added 1 month ago
JG
Senior Machine Learning Engineer
J&M Group
Toronto, ON
- Full-time
…solutions in cloud environments, with expert knowledge of SQL and Python and deep experience with Azure ML, Databricks, MLflow, CI/CD pipelines, MLOps, model deployment, monitoring, and…
Added 1 month ago
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IT Software Engineer - Microsoft Tools Team
Nelnet
Mississauga, ON · CAN - MISSISSAUGA
- Full-time
4. Any experience working with GenAI is preferred.
Added 1 month ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC

Achievers

Data Scientist ⭐

Toronto, ON, Canada

$108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data. · Full-time

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Job details

Pay: $108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data.
Job type: Full-time
Apply by: Feb 18, 2027
Experience: 3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science.
Posting language: English
Posted: Sep 1, 2026

Original job description

Our Data Scientists are a highly motivated and curious group. They're spearheading Achievers' efforts to build products powered by AI and enjoy solving all the problems that come with building at scale. We don't operate under a rigid structure, as a member of this team, you'll have the opportunity to shape the work and the craft. 

In this role, you'll research and develop innovative AI and Machine Learning based approaches to help us deliver on our vision to make sure every employee feels valued, engaged, and knows their voice matters. You will have the opportunity to autonomously own part of our data strategy, work in one of the world's most diverse and complex data environments, and bring together loosely structured datasets to find actionable outcomes that improve our customers' experience.

We're looking for a Data Scientist with a strong background in applied Machine Learning, who has experience using data to produce models that power real-world solutions which are actively being used by customers. The successful candidate will also have experience working with a development team to translate their models into working software. 

Why you'll love this role:

Lead high-impact initiatives that shape how millions of people experience work around the world.
Bring your unique perspective to complex and challenging projects - apply your expertise in data science, influence technical direction, and share your knowledge with fellow team members.
Join a close-knit, no-ego, high-performing team that solves meaningful problems and celebrates successes together.
Work alongside an experienced leadership team who is genuinely invested in your career growth.
Thrive in a fast-paced, high-growth environment where innovation is encouraged and your voice truly matters.

How you'll shape Data Science at Achievers:

Work with a team of passionate data scientists on a variety of projects. Use both your IQ and EQ to support yourself, your team, and your company in achieving more inside and outside the office.
Work with Product Managers and Development teams to develop, deploy, and monitor Machine Learning solutions that are integrated into software products, ensuring scalability, reliability, and maintainability through modern MLOps practices.
Work with the Workforce Science team to push the boundaries on what is known about the “how” and “why” of the ways people work and interact with their peers.
Work with the Product team or other internal teams to analyse data such as feature usage and adoption and uncover insights to guide future product investments or business directions.
Work with the Client Success team to explore how recognition/engagement data relates to customer data and business metrics.
Collaborate with customer-facing teams, Product, and Data Engineering teams to analyze insights, feature usage and adoption to guide product investments, program optimization and business directions.
Develop repeatable frameworks and templates for insight generation, including benchmarking, demographic breakdowns, and engagement scoring.
Bring an “A-Player” attitude: aiming for the happiness of your stakeholders; erring on the side of quick communication and deep collaboration; strong sense of integrity and respect toward your colleagues (and everyone) that you express with helpfulness – you’re a team-player

Experience we feel will set you up for success:

Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred
3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science. 
Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML.
Demonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling.
Have software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQL.
Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools.
Experience working in social networks, recommender systems and/or NLP applications
Have deployed models to production with an engineering team.
Excellent communication – written, conversational, presentation, and data-visualization.
Experience with both software engineering (ideally in an agile environment and with programming best practices) and empirical science.
Experience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirable.

Bonus:

PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field
Expertise in machine learning methods including Time series analysis, Hierarchical Bayes; and Learning techniques such as Decision Trees, Boosting, Random Forests, Deep Learning, Neural Networks

Why Achievers is a Great Place to Work™

At Achievers, we believe recognition is a powerful driver of connection. With more than 4.3 million users across 190 countries, our employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. We’re a team of passionate, thoughtful builders who care deeply about our product, our customers, and each other. Visit achievers.com to see how we’re inspiring recognition everywhere.

Our Approach to Total Rewards

$108,000 - $150,000 reflects the salary range for this role, depending on experience, skills, and market data. We’re committed to providing a fair and competitive offer based on what you bring to the team. Each A-Players' compensation is reviewed at least annually against performance and impact in role. We want you to see your path to growth, understand your impact, and feel valued every step of the way.

Benefits and Perk s for permanent full-time employees:

✨ Rewards for your impact through our Recognition and Rewards program

🩺 Health Benefits and Life Insurance Coverage beginning on your first day

👶🏼 Parental Leave Top-up

🙌🏼 Employer matched RRSP contributions

🏖️ Flexible Vacation to recharge, so you can bring your best

🤝🏽 Employee and Family Assistance Program offering mental health, legal, and financial counselling

🚀 Supported professional development and career growth (Linkedin Learning, mentorship)

👏🏼 Employee-Led Employee Resource Groups that celebrate our diversity

🧘‍♀️ Regular events designed to build connection, belonging, and well-being

🇨🇦 Hybrid flexibility, with time in our beautiful Liberty Village, Toronto office

Achievers is proud to be an equal opportunity employer committed to building a diverse, inclusive workplace where everyone can do their best work. We encourage qualified candidates from all backgrounds and experiences to apply.

Achievers is committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any accommodations for your interview, such as assistive technology, wheelchair accessibility, or alternative formats of materials, please let us know. We are happy to make necessary arrangements to support your needs.

We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools help our recruitment team but never replace decisions made by real people. We believe in a human-first approach to hiring, where your experience, personality, and potential are recognized by people, not algorithms, and where final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Research and develop innovative AI and Machine Learning solutions to improve employee engagement and product experience. Collaborate with product and engineering teams to deploy scalable models and analyze data to guide business investments.

Requirements

Requires 3+ years of experience in AI/ML and product data analysis with proficiency in Python and SQL. An advanced degree in a quantitative field is preferred, along with experience deploying models to production.

Skills

Machine Learning
Artificial Intelligence
Python
SQL
GenAI
MLOps
Statistical Modeling
Data Visualization
Cloud Platforms
BigQuery
NLP
Recommender Systems
Time Series Analysis
Deep Learning
Object-Oriented Programming
Agile Methodology

Benefits

Recognition and Rewards program
Health Benefits
Life Insurance Coverage
Parental Leave Top-up
Flexible Vacation
Employee and Family Assistance Program
Professional development
Employee Resource Groups
Well-being events

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
GenAI
MLOps
Python
SQL
GCP
BigQuery
NLP
Recommender Systems
Time Series Analysis
Hierarchical Bayes
Decision Trees
Boosting
Random Forests
Deep Learning
Neural Networks
People Analytics
Organizational Psychology
Data Science
Software Engineering
Agile
Data Visualization
Statistical Modeling
Unstructured Data
Product Analytics
Benchmarking
Engagement Scoring
Behavioral Science
Computer Science

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