reqspace
Start free trial →
A
AgilerobotsseAI Solutions

ML Platform Engineer (m/f/d)

Munichonsitemid

via Greenhouse

See if I'm a fit →Tailor my resume for this role →Apply on Greenhouse ↗

About this role

The AI Teams at Agile Robots are looking for an ML Platform Engineer (m/f/d) , who will build and operate the distributed training, deployment, and experimentation infrastructure that research, data, and robotics teams depend on to move models from prototype to production. Your Responsibilities Training Infrastructure: Design and scale distributed training workflows for large models using tools such as PyTorch Distributed, DeepSpeed, and cluster schedulers like SLURM or Kubernetes. ML Platform: Build and maintain containerised ML environments that support reproducible experimentation and benchmarking. CI/CD Pipelines: Develop and maintain CI/CD pipelines for machine learning systems to enable reliable testing, training, and deployment of models.…

Read the full description on Agilerobotsse's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, kubernetes, docker, grafana, prometheus…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Munich. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonkubernetesdockergrafanaprometheuspytorchmlflowteams

More at Agilerobotsse

See all open jobs at Agilerobotsse →