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Added 2 months ago
H
Engineering Manager, Enterprise
Harvey
Toronto, ON
- Full-time
Strong experience with modern frontend frameworks (e.g. React) or backend systems (e.g. Python, Node, Go).
Added 1 month ago
NB
Senior Data Scientist
National Bank of Canada
Edmonton, AB
- Full-time
data skills with tools and languages such as Python, Structured Query Language,
Added 1 month ago
D
Actuarial Consultant, Life & Health
Deloitte
Kitchener, ON
- Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 1 month ago
D
Sr. Software Engineer
DNV
Toronto, ON
- Full-time
…multi-cloud environment. The primary application stack includes Python, Django, TypeScript, React, and related web technologies, with cloud services spanning both AWS and Microsoft Azure.…
Added 1 month ago
AI Security Engineer
Celestica International LP
Toronto, ON
…Celestica customers. This role will also have to coordinate with external vendors and internal IT teams to ensure that the cybersecurity requirements are met and…
Added 1 month ago
Senior Staff Software Developer, Developer Infrastructure
Robinhood
Toronto, ON
The Developer Infrastructure org is the engine behind Robinhood's entire engineering organization - a collection of tightly integrated teams whose collective mission is to make every…
Added 1 month ago
L
Customer Success Application Engineer
Litmus
Toronto, ON
- Full-time
You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility,…
Added 1 month ago
N
Data Engineering Consultant
Netlight
Toronto, ON
- Full-time
Tech agnostic mindset with proficiency and experience in some of the following: Python, Databricks, PySpark or Spark, SQL, Airflow, Cloud (AWS, GCP, Azure)
Added 1 month ago
MF
AI & Automation Engineer (Enterprise)
Magnet Forensics
Ottawa, ON · Toronto, ON · Waterloo, ON
- $110,000 to $130,000 CAD / year
- Full-time
Hands-on experience with automation platforms, enterprise business systems (e.g., Salesforce, NetSuite, Jira Service Management, Microsoft 365), APIs, integrations, and at least one…
Added 1 month ago
Research Officer in Accelerated Materials Discovery Laboratories
National Research Council Canada
Mississauga, ON
Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.
Added 1 month ago
NP
Senior AI Developer (Coming Soon!)
Nuclear Promise X
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
…no immediate opening at this time, but candidates who align with our needs may be contacted as opportunities…
Added 1 month ago
RS
Site Reliability Engineer
Redwood Software
ON
- $125,000 to $145,000 CAD / year
Proficiency working in Linux environments with strong Bash and/or Python scripting skills for automation and troubleshooting.
Added 1 month ago
A
Python Full Stack Developer
Astek
Montreal, QC
- Full-time
Design, develop, and implement scalable solutions using Python and React within a dynamic, agile team.
Added 1 month ago
PC
Spécialiste DevOps / DevOps Specialist (Signature)
Portage CyberTech
Montreal, QC
- Full-time
Portage CyberTech is looking for a DevOps Specialist with experience in development and strong expertise in automation and continuous deployment on AWS infrastructure, to contribute to the…
Added 1 month ago
VI
Machine Learning Associate
Vector Institute
Toronto, ON
- Up to $32 CAD / hour
- Contract
…the FastLane MLA Program. In this role, MLAs will be matched with Canadian small- and medium-sized enterprises (SMEs) to work on applied projects focused on Generative AI and Agentic AI.…
Added 1 month ago
J
Senior Infrastructure Engineer
JSI
Ottawa, ON
- Full-time
JSI Telecom is seeking a highly motivated and experienced Senior Infrastructure Engineer (with strong Networking) to design, implement, and support complex enterprise and customer…
Added 1 month ago
C
Engineering Excellence NAM - SVP
Citi
Mississauga, ON
- Full-time
…continuously improve their software delivery performance - with a particular focus on reducing cycle time as a lever for organizational…
Added 1 month ago
DI
Site Reliability Engineer (1890)
Direct IT Recruiting Inc.
Toronto, ON
- $85 to $94 CAD / hour
- Contract
SKILLS: Python, GitHub Actions, CI/CD, automation, Site Reliability Engineering, Dynatrace, Argo CD, PowerShell, observability
Added 1 month ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
Advanced proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch or Scikit‑learn.
Added 1 month ago
BB
Manager, Client Analytics
Bond Brand Loyalty
Toronto, ON
- $97,416.55 to $129,764.75 CAD / year
Proficiency in SQL and Python or R; familiarity with Snowflake and Databricks is an asset.
Added 1 month ago
B
Senior Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python, Spark, Scala
Added 1 month ago
Research Officer in Self-driving Laboratories for Accelerated Process Optimization for Clean Energy
National Research Council Canada
Mississauga, ON
Priority may be given to the following designated employment equity groups: women, Indigenous Peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.
Added 1 month ago
WT
Senior Software Developer, AI Platform
Wealthsimple Technologies
Remote, Canada
- $152,000 to $189,000 CAD / year
- Full-time
- Remote
…Wealthsimple. You'll work in a polyglot environment of Ruby on Rails, Python, TypeScript, and Java/Kotlin, partnering with teams across Platform Engineering to build tooling that is adopted…
Added 1 month ago
ID
Data Scientist & Machine Learning Engineer
Identity Digital Inc.
Toronto, ON
- $87,000 to $114,000 CAD / year
- Full-time
Strong programming proficiency in Python and SQL; familiarity with Shell scripting is a plus
Added 1 month ago
E
Senior Backend Engineer
Eleven-X
Waterloo, ON
- Full-time
You'll work with people who share the same values of being passionate, innovative, accountable, collaborative, and respectful. We take care of our teammates by offering meaningful and…

Identity Digital Inc.

Data Scientist & Machine Learning Engineer

Toronto, ON, Canada

$87,000 to $114,000 CAD / year · Full-time

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Job details

Pay: $87,000 to $114,000 CAD / year
Job type: Full-time
Education: Bachelor’s degree
Experience: 3+ years of experience in developing, deploying, and monitoring production data / ML pipelines
Posting language: English
Posted: Sep 16, 2026

Original job description

Summary / Objective

The Data & Analytics team builds and manages data systems, analyzes information to generate insights, and develops machine learning models to support automated decisioning. As a Data Scientist and Machine Learning Engineer, you will work across (and connect) the expertise of these two related but distinct disciplines. Your responsibilities will include (but not be limited to): deriving data insights to drive decision making, applying ML and modeling techniques to solve business problems, and deploying and managing those models in production.

This role reports to the Director of Business Intelligence.

What You'll Do

Translate complex business problems into data, modeling, and machine-learning solutions
Collect, clean, transform, and validate data for analysis and model development
Explore data to identify patterns, trends, anomalies, and actionable insights
Design, train, evaluate, and refine predictive or optimization models
Select appropriate features, algorithms, metrics, and validation strategies
Build reproducible data and machine-learning pipelines
Deploy models for batch or real-time inference
Develop and maintain infrastructure for reliable model serving
Monitor model performance, data quality, drift, latency, and operational health
Communicate findings and collaborate with stakeholders, engineers, and domain experts
Actively models and promotes Identity Digital’s core values through day-to-day interactions, behaviors, and decision-making
Other duties as assigned

Who You Are / What You Bring

3+ years of experience in developing, deploying, and monitoring production data / ML pipelines
Bachelor's Degree in Mathematics, Computer Science, Data Science, Engineering or other quantitative field is required; Advanced degree (Masters or PhD) in AI/ML preferred
Deep technical knowledge in several of the following topics: anomaly detection, time-series analysis, structured and unstructured data processing, causal inference, reinforcement learning, embeddings and vector databases, large language models, and modern MLOps / LLMOps practices
Professional development experience with the following tools and platforms: Airflow, Argo Workflows, cloud data warehouses (BigQuery, Databricks, Snowflake), major cloud providers (AWS, GCP), Git, Kubernetes, MLFlow, Pandas, Polars, PyTorch, TensorFlow, SHAP and leveraging AI / LLMs.
Strong programming proficiency in Python and SQL; familiarity with Shell scripting is a plus
Exceptional problem-solving skills with the ability to diagnose and resolve issues from limited or ambiguous information
Creative and strategic thinker with a strong analytical foundation and a focus on measurable impact
Collaborative communicator who excels in cross-functional environments and builds strong working relationships
Highly organized with excellent time management, attention to detail, and execution discipline
Knowledge of the domain name industry or digital identity ecosystem is a plus
Ability to travel as needed
Ability to work across time zones as part of a global organization as needed
Reliable transportation to the workplace

Physical Requirements

Prolonged periods of sitting at a desk and working on a computer
Must be able to lift up to 15 pounds at times

Salary Range

The base salary range for this full-time position is CAD $87,000 - $114,000 (flexibility based on experience) plus additional benefits. In addition, the successful candidate will be eligible to receive other compensation from time to time in the form of discretionary and/or nondiscretionary bonuses and long-term incentive plan. Actual compensation will be influenced by a candidate’s qualifications, internal employee equity considerations, and location. We will not ask for information about a candidate's current or past compensation for purposes of developing an offer of employment.

Note: Benefits programs are subject to eligibility requirements and may vary in certain locations.

A few things to know about us

Identity Digital is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, age, national origin, veteran status, marital status, sexual orientation, gender identity, disability or any other category prohibited by local, state or federal law. This policy applies to all aspects of employment, including recruitment, placement, promotion, transfer, demotion, compensation, benefits, social and recreational activities, and termination.

Background Check Statement

At the time of an offer, you will be required to complete a background check. Any offer is contingent upon a satisfactory background check.

Sponsorship Statement

Please note that work sponsorship for this position may not be available now or in the future. While we strive to support our candidates, not all roles will qualify. Eligibility will be reviewed on a case-by-case basis.

Accommodation Statement

We are committed to the full inclusion of all qualified individuals. As part of this commitment, Identity Digital will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, please contact our Recruiting Team at careers@identity.digital.

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More about this job

Responsibilities

The role involves translating business problems into machine learning solutions and building reproducible data pipelines. Responsibilities include designing, deploying, and monitoring predictive models in production to drive automated decision-making.

Requirements

Requires a Bachelor's degree in a quantitative field and 3+ years of experience in production ML pipelines. Proficiency in Python, SQL, and modern MLOps tools like Kubernetes and Airflow is essential.

Skills

Machine Learning
Data Science
Python
SQL
MLOps
LLMOps
Data Pipeline Development
Predictive Modeling
Cloud Data Warehousing
Kubernetes
PyTorch
TensorFlow
Airflow
Time-series Analysis
Anomaly Detection
Causal Inference

Benefits

Discretionary bonuses
Nondiscretionary bonuses
Long-term incentive plan

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
MLOps
LLMOps
Python
SQL
Airflow
Argo Workflows
BigQuery
Databricks
Snowflake
AWS
GCP
Git
Kubernetes
MLFlow
Pandas
Polars
PyTorch
TensorFlow
SHAP
Large Language Models
Vector Databases
Embeddings
Reinforcement Learning
Causal Inference
Time-series Analysis
Anomaly Detection
Digital Identity
Domain Name Industry

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