Remote ML Engineer - Build Production-Grade AI Pipelines

Nada Holdings, Inc.; British Columbia; On-site; CAD 210,000 - 281,000; Full time

Job summary

A technology firm is seeking a skilled Machine Learning Engineer focused on MLOps. This role involves designing and maintaining infrastructure for ML models, transforming prototypes into production-ready services, and developing scalable ML pipelines. Applicants should have over 3 years of experience in software or machine learning engineering and strong skills in software engineering. The position offers a salary range of $150K to $200K and various benefits including health spending accounts and paid time off.

Benefits

Health Spending Account

Disability insurance

Life insurance

Paid time off

Work from home

Qualifications

• 3+ years of professional experience in software or machine learning engineering.
• Strong foundational skills in software engineering and systems design.
• Experience building robust data and ML pipelines.

Responsibilities

• Design and maintain infrastructure for machine learning models.
• Transform prototypes into production-ready, high-availability services.
• Develop automated, scalable ML pipelines.

Skills

Software Engineering

MLOps

Systems Design

Cloud Platforms

Containerization

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Airflow

Kubeflow

TensorFlow

PyTorch

Docker

Kubernetes

MLflow

Weights & Biases

Job description

A technology firm is seeking a skilled Machine Learning Engineer focused on MLOps. This role involves designing and maintaining infrastructure for ML models, transforming prototypes into production-ready services, and developing scalable ML pipelines. Applicants should have over 3 years of experience in software or machine learning engineering and strong skills in software engineering. The position offers a salary range of $150K to $200K and various benefits including health spending accounts and paid time off.