Senior MLOps Lead for Scalable Foundation Models (Remote)

Autodesk; Vancouver; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading technology company is seeking a Principal Machine Learning Operations Developer for AEC to build scalable ML training pipelines and work alongside top AI researchers. This candidate will tackle the challenges of large-scale model training with a focus on sustainable design data. Experience in distributed systems and proficiency in Python required. The position is fully remote-friendly, allowing flexibility in your work environment.

Qualifications

• Experience with distributed systems for machine learning at scale.
• Strong knowledge of model parallelism techniques.
• Experience with cloud services and architectures.

Responsibilities

• Support AI researchers by building scalable ML training pipelines.
• Design efficient data processing workflows for large-scale datasets.
• Optimize distributed training systems and resource management.

Skills

Distributed systems for machine learning

ML infrastructure and model parallelism

Python proficiency

Excellent written documentation skills

Cloud services (AWS, Azure)

Education

BSc or MSc in Computer Science

Tools

PyTorch

DeepSpeed

Docker

Kubernetes

Apache Spark

Job description

A leading technology company is seeking a Principal Machine Learning Operations Developer for AEC to build scalable ML training pipelines and work alongside top AI researchers. This candidate will tackle the challenges of large-scale model training with a focus on sustainable design data. Experience in distributed systems and proficiency in Python required. The position is fully remote-friendly, allowing flexibility in your work environment.