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1,416

Machine Learning jobs in Canada

Data Engineer - Snowflake

Tiger Analytics

Toronto
On-site
CAD 90,000 - 120,000
30+ days ago
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Senior Software Engineer, AI Products

HRB

Kitchener
On-site
CAD 80,000 - 110,000
30+ days ago

AI Transformation Leader — Strategy & Impact

Jonas Software

Toronto
On-site
CAD 100,000 - 130,000
30+ days ago

Field Application Engineer

JDRF Electromag Engineering Inc.

Mississauga
Hybrid
CAD 60,000 - 80,000
30+ days ago

DSP Engineer (Markham)

Evertz Microsystems Limited

Markham
On-site
CAD 80,000 - 100,000
30+ days ago
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Account Executive - Integrated Security Solutions

Vault Consulting (Accounting, Human Resources, Research)

Toronto
On-site
CAD 70,000 - 85,000
30+ days ago

Client Success Relationship Manager

Fairygodboss

Burnaby
Hybrid
CAD 59,000 - 96,000
30+ days ago

Consultant (e) en support TLM / Consultant TLM Support

Fairygodboss

Montreal
On-site
CAD 70,000 - 90,000
30+ days ago
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Sr. Machine Learning Algorithm Engineer

Appsierra Group

Vancouver
Hybrid
CAD 100,000 - 130,000
30+ days ago

Assistant Controller, Revenue

P2P

Canada
On-site
CAD 213,000
30+ days ago

Senior Staff Software Engineer, Backend (Platform - Risk)

P2P

Canada
On-site
CAD 221,000 - 261,000
30+ days ago

Data Scientist

Rocket Companies

Windsor
On-site
CAD 80,000 - 120,000
30+ days ago

Foundation Models Scientist for FinTech AI

Rocket Companies

Windsor
On-site
CAD 80,000 - 120,000
30+ days ago

Data Scientist

Rock Connections

Windsor
On-site
CAD 90,000 - 120,000
30+ days ago

Financial AI Scientist: Foundation Models & RAG Expert

Rock Connections

Windsor
On-site
CAD 90,000 - 120,000
30+ days ago

Senior Machine Learning Research Engineer - Acceleration of AI models

Huawei Technologies Canada Co., Ltd.

Markham
On-site
CAD 90,000 - 130,000
30+ days ago

Hybrid ML Engineer, Recommendations & Personalization

Lyft

Toronto
On-site
CAD 149,000 - 187,000
30+ days ago

AI Safety ML Research Scientist

LawZero

Montreal
On-site
CAD 80,000 - 100,000
30+ days ago

Senior Machine Learning Engineer

AuditBoard

Canada
Remote
CAD 90,000 - 120,000
30+ days ago

Business Development Representative - Payment Solution Software

Vault Consulting (Accounting, Human Resources, Research)

Toronto
Hybrid
CAD 60,000 - 70,000
30+ days ago

Global Cybersecurity Policies and Standards Analyst, Deloitte Global Technology

Deloitte Canada

Toronto
Remote
CAD 69,000 - 114,000
30+ days ago

Payroll Specialist

ADP

Burnaby
On-site
CAD 50,000 - 75,000
30+ days ago

Embedded Firmware Engineer (Full-Time) - Humanoid Robot

AXIBO INC

Cambridge
On-site
CAD 60,000 - 80,000
30+ days ago

Senior Software Engineer, Blockchain Platform (Staking Validators)

P2P

Canada
On-site
CAD 191,000
30+ days ago

Senior ML Engineer (GCP & Vertex AI) – Deploy & Scale AI

Tiger Analytics

Canada
On-site
CAD 90,000 - 120,000
30+ days ago

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Data Engineer - Snowflake
Tiger Analytics
Toronto
On-site
CAD 90,000 - 120,000
Full time
30+ days ago

Job summary

A leading analytics consulting firm in Ontario is seeking a skilled Data Engineer to architect and implement advanced analytics capabilities. You will work with large data sets and visualization tools to generate insights driving business solutions. The ideal candidate has over 8 years of industry experience, strong skills in Python, SQL, and data engineering, and a commitment to implementing impactful data strategies. Opportunities for career development exist in this entrepreneurial environment.

Benefits

Significant career development opportunities

Qualifications

  • 8+ years in industry, specifically in data engineering.
  • 5+ years building large-scale data processing pipelines in production.
  • Experience in creating and optimizing data processing pipelines.

Responsibilities

  • Architect and design advanced analytics capabilities.
  • Build self-service dashboards and visualization tools.
  • Support data transformation and workload management.

Skills

Data engineering expertise
Python
SQL
PySpark
Data warehouse systems
Databricks
Data transformation skills
Analytic skills with unstructured datasets

Tools

Snowflake
DBT
Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

  • 8+ years of overall industry experience specifically in data engineering
  • 5+ years of experience building and deploying large-scale data processing pipelines in a production environment.
  • Strong experience in Python, SQL, and PySpark
  • Creating and optimizing complex data processing and data transformation pipelines using python
  • Experience with “Snowflake Cloud Datawarehouse” and DBT tool
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
  • Experience on Databricks is plus
  • Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Experience supporting and working with cross-functional teams in a dynamic environment

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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