ML Data Infrastructure Engineer

1 week agoSenior Paudex, Vaud, Switzerland Hybrid Devops Jobs by Flyability

Skills

Aws Ci/Cd Database Data Labeling Data Processing Dataset Docker Dvc Infrastructure-As-Code Mlflow Mlops Python S3 Sagemaker Workflow Orchestration

Candidate Availability

Hybrid · Paudex · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build and operate infrastructure for ML datasets, labeling, training, evaluation, deployment, monitoring, and developer workflows. You will curate and version datasets, host labeling tools, automate model lifecycle processes, and provide reliable tools and documentation for ML engineers.

Requirements

3+ years of data engineering, MLOps, ML infrastructure, or related software engineering experience
Python and software engineering skills
Experience with data storage, databases, and data processing
AWS experience, particularly S3 and cloud compute and storage
Experience with the ML lifecycle
Experience with ML dataset curation, versioning, annotation, and data quality
Experience with Docker, CI/CD, workflow orchestration, or infrastructure-as-code
English proficiency

Responsibilities

Own infrastructure and workflows for ML data pools and datasets
Host labeling tools and manage annotation workflows
Automate training, evaluation, experiment tracking, and reproducibility workflows
Build tooling for model validation and deployment
Monitor model performance and connect failure cases to ML development
Provide ML developer tools, documentation, and workflows

Benefits

25 vacation days per year plus public holidays
Up to 5 additional seniority-based days off
Accident insurance covering medical treatment and hospitalization
Flexible schedules
Remote work up to 2 days per week
Discounts on gym memberships and sports events
Swibeco discounts and rewards
Team events