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1,104

Machine Learning Engineer jobs in Canada

Big Data Analyst - Hadoop & Spark Infrastructure

Mashreq Bank

Vancouver
Hybrid
CAD 80,000 - 100,000
29 days ago
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Remote Fraud Detection & Credit Risk Data Analyst

Mashreq Bank

Toronto
Hybrid
CAD 70,000 - 90,000
29 days ago

Credit Risk Data Analyst - Fraud Detection (Python/R)

Mashreq Bank

Toronto
Hybrid
CAD 70,000 - 90,000
29 days ago

Sr. Machine Learning Algorithm Engineer

Appsierra Group

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

Machine Learning Operations Engineer

Wawanesa Insurance

Toronto
Hybrid
CAD 110,000 - 140,000
30+ days ago
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Sr. Machine Learning Scientist & Engineer

Fig

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

Senior Machine Learning Operations Engineer - AI/ML Platform

PowerToFly

Toronto
On-site
CAD 106,000 - 157,000
30+ days ago

Senior Machine Learning Engineer (AI Insights)

Menlo Ventures

Canada
On-site
CAD 113,000 - 200,000
30+ days ago
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Senior Software Engineer II- Machine Learning

AuditBoard

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

Staff Machine Learning Ops Engineer

Overstory

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

Machine Learning Engineer, AI Decisioning

HRB

Canada
Remote
CAD 80,000 - 120,000
30+ days ago

Staff Machine Learning Software Engineer - Agentic AI

Loblaw Companies Limited

Toronto
On-site
CAD 95,000 - 140,000
30+ days ago

Senior Machine Learning Engineer, Risk AI/ML

Bison Trails

Canada
Hybrid
CAD 192,000
30+ days ago

Machine Learning Data Engineer, Replica Pipelines

Parallel Domain

British Columbia
Hybrid
CAD 130,000 - 160,000
30+ days ago

Machine Learning Data Engineer, Replica Pipelines

Parallel Domain

Vancouver
Hybrid
CAD 130,000 - 160,000
30+ days ago

Staff Machine Learning ASIC Design Verification Engineer

Qualcomm

Markham
On-site
CAD 124,000 - 175,000
30+ days ago

Senior Machine Learning Software Engineer (AI Frameworks Optimization)

Advanced Micro Devices

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

Machine Learning Engineer, AI / ML

Klue

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

Machine Learning Developer (Hybrid)

PowerToFly

Montreal (administrative region)
Hybrid
CAD 90,000 - 120,000
30+ days ago

Ingénieur(e) “Staff" en apprentissage automatique - "E2E"

Torc Robotics

Montreal
On-site
CAD 30,000 - 60,000
30+ days ago

Ingénieur(e) “Staff" en apprentissage automatique (MLE) — Comportements acquis

Torc Robotics

Montreal
Hybrid
CAD 209,000 - 314,000
30+ days ago

Ingénieur(e) “Staff" en apprentissage automatique — "BEV"

Torc Robotics

Montreal
On-site
CAD 209,000 - 314,000
30+ days ago

Ingénieur(e) senior(e) en apprentissage automatique - Cadres des opérations d’AA

Torc Robotics

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

Ingénieur(e) “Staff" en apprentissage automatique — "BEV"

Torc Robotics

Mount Royal
Hybrid
CAD 209,000 - 314,000
30+ days ago

Ingénieur(e) Senior(e) en apprentissage automatique - Perception hors ligne

Torc Robotics

Quebec
On-site
CAD 146,000 - 196,000
30+ days ago

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Big Data Analyst & Hadoop Spark Infrastructure
Mashreq Bank
Vancouver
Hybrid
CAD 80,000 - 100,000
Full time
30 days ago

Job summary

A leading financial institution in Vancouver is seeking a highly skilled Big Data Analyst to join their analytics team. The successful candidate will leverage technologies like Hadoop and Spark to analyze vast datasets, providing actionable insights that drive business decisions. Key responsibilities include developing data pipelines, collaborating with cross-functional teams, and performing advanced data analysis. This full-time position offers competitive salary and flexible working options.

Benefits

Competitive salary
Health, dental, and vision insurance
Professional development opportunities
Flexible remote work options
Generous paid time off

Qualifications

  • 3–5 years of experience in big data analytics.
  • Experience with Hadoop and Spark infrastructure.
  • Track record of delivering data-driven projects.

Responsibilities

  • Design and maintain Hadoop and Spark-based data pipelines.
  • Collaborate to provide analytical solutions.
  • Optimize and troubleshoot big data workflows.

Skills

Hadoop ecosystem tools
Apache Spark
Python
Java
Scala
SQL
NoSQL databases
Big data architecture
Data cleaning
Analytical skills

Tools

Hadoop
Spark
AWS
Azure
GCP
Job description
Job Summary

The Elite Job is seeking a highly skilled Big Data Analyst with expertise in Hadoop and Spark to join our dynamic analytics team. The successful candidate will leverage advanced big data technologies to process, analyze, and interpret vast datasets, providing actionable insights that drive strategic business decisions. This role requires a proactive, detail‑oriented professional who thrives in a fast‑paced environment and is passionate about transforming raw data into meaningful business outcomes.

Key Responsibilities
  • Design, develop, and maintain scalable Hadoop and Spark‑based data pipelines for large‑scale data processing.

  • Extract, transform, and load (ETL) complex datasets from multiple structured and unstructured sources.

  • Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and provide analytical solutions.

  • Optimize and troubleshoot big data workflows to ensure high performance, reliability, and data accuracy.

  • Implement and enforce data governance, quality standards, and best practices.

  • Perform advanced data analysis, pattern recognition, and predictive modeling to support strategic initiatives.

  • Prepare detailed reports and visualizations to communicate findings to both technical and non‑technical stakeholders.

  • Stay current with emerging big data technologies, trends, and best practices to continuously enhance infrastructure and analytics capabilities.

Required Skills and Qualifications
  • Strong hands‑on experience with Hadoop ecosystem tools (HDFS, Hive, Pig, HBase).

  • Expertise in Apache Spark for distributed data processing.

  • Proficiency in programming languages such as Python, Java, or Scala.

  • Experience with SQL and NoSQL databases.

  • Familiarity with data warehousing, ETL processes, and data modeling techniques.

  • Solid understanding of big data architecture, frameworks, and cloud platforms (AWS, Azure, or GCP).

  • Ability to work with large datasets, perform data cleaning, and ensure data quality.

  • Excellent problem‑solving, analytical, and critical‑thinking skills.

Experience
  • Minimum of 3–5 years of experience in big data analytics, preferably in roles focusing on Hadoop and Spark infrastructure.

  • Proven track record of delivering successful data‑driven projects in a complex, enterprise environment.

  • Prior experience in financial services, e‑commerce, or technology sectors is a plus.

Working Hours
  • Full‑time position.

  • Flexible working hours with options for remote or hybrid arrangements.

  • Occasional extended hours may be required to meet project deadlines or support global teams.

Knowledge, Skills, and Abilities
  • Strong analytical mindset with an ability to translate data insights into business value.

  • Excellent communication and collaboration skills to work effectively with cross‑functional teams.

  • Ability to manage multiple priorities in a fast‑paced, dynamic environment.

  • Detail‑oriented with strong organizational and documentation skills.

  • Self‑motivated with a continuous learning attitude toward new technologies and tools.

Benefits
  • Competitive salary and performance‑based incentives.

  • Health, dental, and vision insurance coverage.

  • Flexible remote work options and generous paid time off.

  • Professional development opportunities, including training and certification support.

  • Collaborative and inclusive work culture that values innovation and creativity.

Why Join The Elite Job

At The Elite Job, we empower our employees to leverage cutting‑edge technology and deliver data‑driven solutions that make a real impact. You will be part of a forward‑thinking organization where innovation, learning, and growth are encouraged. Join a team of passionate professionals who value creativity, collaboration, and excellence in all that we do.

How to Apply

Interested candidates are invited to submit their resume and cover letter highlighting relevant experience to us. Please include Big Data Analyst – Hadoop & Spark in the subject line. Shortlisted candidates will be contacted for further assessment and interviews.

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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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