Machine Learning DevOps - Cloud and Compute Cluster - R&D Support

Pathway is building LiveAI™ systems that think and learn in real time as humans do. Its team includes AI luminaries such as CTO Jan Chorowski and CSO Adrian Kosowski, with strong investor backing and offices in Palo Alto, Paris, and Wrocław.

• Very good familiarity with Linux, shell scripts, and cluster configuration scripts.
• Proficiency in workload management, containerization and orchestration (Slurm, Docker, Kubernetes).
• Solid grasp of CI/CD tools and workflows (GitHub Actions, Jenkins, Gitlab CI).
• Cloud infrastructure knowledge (AWS, GCP, Azure), especially ML services (SageMaker Hyperpod, Vertex AI).
• Familiarity with monitoring/logging tools (Grafana, CloudWatch, Prometheus, Loki).
• Experience with infrastructure as code (Terraform, CloudFormation, cluster-toolkit).
• Experience with ML pipeline orchestration tools (MLflow, Kubeflow, Airflow, Metaflow).
• Programming skills in Python (with exposure to ML libraries like TensorFlow, PyTorch).
• Experience with cluster, systems, and networks administration.
• Willingness to learn.
• Minimum BSc in Computer Science or Information Technology.

• Optimize infrastructure for ML training and inference (e.g., GPUs, distributed compute).
• Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).
• Manage model versioning, reproducibility, and traceability.
• Work with terabyte-large datasets.
• Implement ML-centric CI/CD practices.
• Monitor model performance and data drift in production.
• Collaborate with machine learning engineers, software engineers, and platform teams.

Candidates must be based anywhere in the EU, United States, or Canada to be considered.