Senior Full-Stack ML Engineer - Production Systems

GeoComply; Canada; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading geolocation and cybersecurity firm in Canada seeks a Full Stack Machine Learning Engineer to design and implement production-grade ML systems. This role involves building high-scale ML pipelines using big data technologies and optimizing models for low latency. The ideal candidate must possess strong software engineering and data science skills, with experience in Databricks or Vertex AI. The company offers a hybrid working model and various benefits, including professional development opportunities and competitive salary packages.

Benefits

Hybrid working mode

Professional development budget

20 annual leave days

Premium health insurance

Competitive salary package

Attractive bonuses

Free parking

Annual company trip

Quarterly team-building activities

Qualifications

• Hands-on experience building ML pipelines and running models in production.
• Strong fundamentals in software engineering and statistical analysis.
• Ability to explain complex concepts to non-technical stakeholders.

Responsibilities

• Build and maintain high-scale ML pipelines using big data technologies.
• Leverage modern ML platforms to orchestrate workflows.
• Act as a technical lead for projects and mentor data scientists.

Skills

Software Engineering fundamentals

Data Science expertise

Experience with Databricks

Experience with Vertex AI

English Communication Skills

Tools

Spark

BigQuery

Delta Lake

Job description

A leading geolocation and cybersecurity firm in Canada seeks a Full Stack Machine Learning Engineer to design and implement production-grade ML systems. This role involves building high-scale ML pipelines using big data technologies and optimizing models for low latency. The ideal candidate must possess strong software engineering and data science skills, with experience in Databricks or Vertex AI. The company offers a hybrid working model and various benefits, including professional development opportunities and competitive salary packages.