Senior MLOps Lead for Scalable Foundation Models (Remote)

Autodesk; Calgary; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading software company is seeking a Principal Machine Learning Operations Developer to collaborate with AI researchers in building scalable ML training pipelines. This fully remote-friendly role in Canada focuses on developing the next generation of ML-powered product features. Ideal candidates will have expertise in distributed systems and ML infrastructures, coupled with strong knowledge of Python and cloud services. Join a dynamic team dedicated to innovating the built environment.

Benefits

Competitive compensation package

Annual bonuses

Comprehensive benefits package

Qualifications

• Experience with distributed systems for machine learning and deep learning at scale.
• Strong knowledge of ML infrastructure and model parallelism techniques.
• Excellent written documentation skills to document code, architectures, and experiments.

Responsibilities

• Support AI researchers by building scalable ML training pipelines and infrastructure.
• Design efficient data processing workflows for large-scale datasets.
• Analyze performance bottlenecks and provide solutions.

Skills

Distributed systems for machine learning

ML infrastructure

Data engineering

Python

Cloud services (AWS, Azure)

Version control and CI/CD

Education

BSc or MSc in Computer Science or related field

Tools

PyTorch

Apache Spark

Docker

Kubernetes

Job description

A leading software company is seeking a Principal Machine Learning Operations Developer to collaborate with AI researchers in building scalable ML training pipelines. This fully remote-friendly role in Canada focuses on developing the next generation of ML-powered product features. Ideal candidates will have expertise in distributed systems and ML infrastructures, coupled with strong knowledge of Python and cloud services. Join a dynamic team dedicated to innovating the built environment.