Senior ML Engineer — Scalable MLOps Platform (Remote)

Lightspeed Commerce; Montreal; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading tech company in Montreal is seeking a Senior Machine Learning Engineer to join their Data Science Enablement team. This role involves designing scalable ML infrastructure and managing the MLOps platform. Candidates should have 5+ years of relevant experience, proficiency in Python, and strong knowledge of ML frameworks like TensorFlow and PyTorch. The company offers competitive benefits and a flexible work culture.

Benefits

Equity scheme

Flexible paid time off

Health insurance

Pension contributions

Health and wellness benefit

Paid leave for new parents

Mental health support

Training opportunities

Fully stocked kitchen

Social events

Qualifications

• Must have 5+ years of experience in ML engineering, data engineering, or related fields.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience deploying and monitoring ML models in the cloud.

Responsibilities

• Design and implement scalable ML infrastructure including data and model pipelines.
• Build and evolve the MLOps platform enabling automation of the full ML lifecycle.
• Manage and optimize cloud-based ML workloads for performance and cost efficiency.

Skills

Machine Learning frameworks

Python

Kubernetes

CI/CD workflows

ETL processes

Collaboration

Education

5+ years of experience in ML engineering or data engineering

Tools

TensorFlow

PyTorch

Scikit-Learn

Google Cloud Platform (GCP)

Job description

A leading tech company in Montreal is seeking a Senior Machine Learning Engineer to join their Data Science Enablement team. This role involves designing scalable ML infrastructure and managing the MLOps platform. Candidates should have 5+ years of relevant experience, proficiency in Python, and strong knowledge of ML frameworks like TensorFlow and PyTorch. The company offers competitive benefits and a flexible work culture.