Senior ML Systems Engineer — Remote GPU-Scale Ops

Pathway (pathway.com); Remote; PLN 180,000 - 240,000; Full time

Job summary

An innovative AI company is looking for a Senior ML Systems/ML DevOps Engineer to manage infrastructure for ML workloads. The role involves working closely with R&D to optimize training and inference on GPU clusters across multiple cloud providers. Candidates should have extensive experience with Linux, containerization, and CI/CD tools, as well as strong Python programming skills. This is a remote position with opportunities to collaborate with teams in various locations, including Wroclaw, Poland.

Benefits

Intellectually stimulating work environment

Exciting career prospects

Inclusive workplace culture

Qualifications

• 5+ years of experience in DevOps/SRE/Platform/Infrastructure roles running production systems.
• Experience with workload management, containerization, and orchestration.
• Strong programming skills in Python, with the ability to read/debug ML code.

Responsibilities

• Own the infrastructure that powers ML training and inference workloads.
• Design, build, and automate the ML platform.
• Work across multiple major cloud providers to optimize performance.

Skills

Linux

Containerization

Kubernetes

Python

CI/CD

Terraform

Tools

Docker

AWS

GCP

Job description

An innovative AI company is looking for a Senior ML Systems/ML DevOps Engineer to manage infrastructure for ML workloads. The role involves working closely with R&D to optimize training and inference on GPU clusters across multiple cloud providers. Candidates should have extensive experience with Linux, containerization, and CI/CD tools, as well as strong Python programming skills. This is a remote position with opportunities to collaborate with teams in various locations, including Wroclaw, Poland.