Senior ML Infrastructure Engineer (Remote, GPU Clusters)

Talantir

Paris

Remote

EUR 90,000 - 150,000

Full time

14 days+

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Job summary

Pathway is seeking a Senior ML Infrastructure / DevOps Engineer who loves Linux, distributed systems, and scaling GPU clusters. You will own the infrastructure for ML training and inference workloads across multiple cloud providers, from bare-bones Linux to container orchestration and CI/CD.

Your home is production infrastructure: clusters, networks, storage, observability, and automation. You will sit close to the R&D team, but your work will directly determine how fast we can train, ship, and

Qualifications

  • 5+ years in DevOps/SRE/Infrastructure with production ML workloads.
  • Strong Linux systems and networking knowledge.
  • Experience with Slurm, Docker, Kubernetes in production.
  • Proficiency in Python and common ML libraries.

Responsibilities

  • Design, operate, and scale GPU/CPU clusters for ML workloads.
  • Build robust ML pipelines for data ingestion, training, and deployment.
  • Implement ML-centric CI/CD and automated testing.
  • Monitor and troubleshoot training and serving with observability stacks.
  • Collaborate with ML engineers to productionize experiments.
  • Participate in on-call rotation and incident post-mortems.

Skills

Workload management
Containerization
Orchestration
Slurm
Docker
Kubernetes
CI/CD pipelines
Cloud platforms
Python
ML frameworks

Tools

Terraform
CloudFormation
Grafana
Prometheus
Loki
CloudWatch
SageMaker HyperPod
Vertex AI
Kubeflow
MLflow
Airflow
Metaflow
PyTorch
TensorFlow

Job description

Pathway is seeking a Senior ML Infrastructure / DevOps Engineer who loves Linux, distributed systems, and scaling GPU clusters. You will own the infrastructure for ML training and inference workloads across multiple cloud providers, from bare-bones Linux to container orchestration and CI/CD.

Your home is production infrastructure: clusters, networks, storage, observability, and automation. You will sit close to the R&D team, but your work will directly determine how fast we can train, ship, and

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