MLOps & DataOps Engineer - Flexible Hours for 3D AI

ALLSIDES; Bressanone; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Stock options

Lunch voucher

Relocation assistance

Flexible working hours

Family-friendly environment

Amazing office space

Job summary

A leading tech company in Bressanone, Italy is looking for a DataOps & MLOps Engineer to build the infrastructure for data and ML workflows. Responsibilities include designing data storage systems, automating ML pipelines, and supporting distributed training workflows. The ideal candidate will have strong Linux knowledge and experience with data storage systems, ML orchestration, and containerization. This position offers competitive compensation, flexible hours, and opportunities for personal and professional growth.

Qualifications

• Experience with large file handling systems.
• Familiarity with distributed filesystems and object storage.
• Experience with CI/CD pipelines.

Responsibilities

• Design and manage data storage systems for large datasets.
• Build data access patterns for distributed training.
• Implement dataset versioning and lineage tracking.
• Set up ML pipeline automation and experiment tracking.
• Support distributed training across multi-GPU clusters.
• Optimize training pipelines and ensure reproducibility.

Skills

Strong Linux knowledge

Data storage systems experience

Knowledge of dataset versioning tools

Experience with ML pipeline orchestration

Familiarity with experiment tracking tools

Understanding distributed training frameworks

Experience with containerization

Knowledge of Python dependency management

Tools

Airflow

Kubeflow

Docker

MLflow

Weights & Biases

Job description

A leading tech company in Bressanone, Italy is looking for a DataOps & MLOps Engineer to build the infrastructure for data and ML workflows. Responsibilities include designing data storage systems, automating ML pipelines, and supporting distributed training workflows. The ideal candidate will have strong Linux knowledge and experience with data storage systems, ML orchestration, and containerization. This position offers competitive compensation, flexible hours, and opportunities for personal and professional growth.