ML & Cloud Infrastructure Engineer

Role Overview

Join Gritt's team as an ML & Cloud Infrastructure Engineer to architect scalable cloud infrastructure for AI and data pipelines. Thrive in a fast-paced startup environment and have a direct impact on product evolution.

What You Will Do

Develop and deploy scalable AI training and validation pipelines, spin up distributed pipelines for data ingestion, and deploy monitoring and CI/CD pipelines.

Why It Might Be a Fit

Ideal candidate has 4+ years of experience deploying high-performance ML pipelines in production, proficient in Python, and comfortable with C++/Go.

Requirements

• Degree in computer science or related engineering disciplines (or equivalent experience)
• 4+ years of experience deploying high-performance ML pipelines in production
• Proficient in Python and comfortable with C++/Go
• Experience with ML frameworks like PyTorch
• Experience with IO and data-loading workflows, including formats like Parquet, HDF5, TFRecord etc.
• Experience with deploying on cloud platforms like AWS, GCP or Azure
• Experience with tooling like Docker, Kubernetes, and Airflow
• Excellent problem-solving skills
• Legally authorized to work in the United States