ML/Data Infrastructure Engineer (AI)

Location: Paudex, Vaud, Switzerland; remote and hybrid workplace arrangements are stated. The role is part of the R&D department and supports the Lausanne team.

Company

hirify.global is a Swiss robotics company developing collision-tolerant flying robots for inspection of confined and hazardous environments.

What you will do

• Build and operate data and ML infrastructure for inspection-drone data and AI capabilities.
• Manage ML data pools and datasets, including ingestion, curation, validation, organization, and versioning.
• Host labeling tools and manage annotation workflows with Spatial AI engineers and external labeling partners.
• Automate ML training, evaluation, experiment tracking, reproducibility, and model deployment workflows.
• Monitor training and model performance and connect production data and failure cases back to ML development.
• Provide tools, documentation, and workflows that help ML engineers move from data to deployable models.

Requirements

• 3+ years of experience in data engineering, MLOps, ML infrastructure, or related software engineering.
• Strong Python and production-grade software engineering skills.
• Experience with data storage, databases, data processing, data structures, and large datasets.
• Hands-on AWS experience, particularly S3 and cloud-based compute and storage.
• Experience with ML lifecycle practices such as dataset and model versioning, experiment tracking, training orchestration, model registries, or ML CI/CD.
• Experience with Docker, CI/CD, workflow orchestration, infrastructure-as-code, or ML dataset annotation and quality management.

Nice to have

• Experience with MLflow, DVC, SageMaker, or similar MLOps technologies.
• Experience with annotation platforms and external labeling teams.
• Experience deploying ML models to embedded or resource-constrained platforms.
• Experience orchestrating pipelines for fine-tuning, evaluation, and low-latency serving of language models.
• French language skills.

Culture & Benefits

• 25 vacation days per year plus public holidays, with up to 5 additional seniority-based days.
• Comprehensive accident insurance covering medical treatment and hospitalization.
• Flexible schedules and the option to work remotely up to 2 days per week.
• Discounts on gym memberships, sports events, and retailers through Swibeco.
• Team events including a ski weekend, summer barbecue, and after-work gatherings.
• Collaborative environment focused on independent thinking, idea sharing, and problem solving.

Hiring process

• Initial screening includes mandatory automated eligibility questions.
• Applicants may request a manual review if they believe an automated exclusion was incorrect.