ML/Data Infrastructure Engineer

Flyability

. Build and operate data and ML infrastructure that turns inspection-drone data into improved AI capabilities .

Posted 9/15/2026full-timePaudex • SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating ML infrastructure, with a strong focus on data management, model deployment, and automation. Proficient in Python and cloud technologies, particularly AWS, to support the ML lifecycle and enhance the efficiency of Spatial AI engineering workflows.

Highest-signal resume keywords

Python ProgrammingAWS S3MLOpsData EngineeringDocker

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Hard Skills

Data ProcessingML Lifecycle ManagementModel DeploymentData CurationExperiment TrackingVersion ControlData Storage DesignWorkflow OrchestrationInfrastructure-as-CodeAnnotation Management

Soft Skills

Problem-SolvingOwnership

Tools & Technologies

MLflowDVCSageMakerCI/CDAnnotation Platforms

Industry Keywords

Machine LearningData EngineeringSpatial AICloud InfrastructureModel Performance Monitoring

Tech Stack

Tools & technologies

AWSCloudDockerPython

About the role

Key responsibilities & impact

Build and operate data and ML infrastructure that turns inspection-drone data into improved AI capabilities
Own workflows connecting data collection, preparation, labeling, training, evaluation, and model deployment
Work closely with Spatial AI engineers developing models and the Cloud Platform Engineer providing shared cloud infrastructure
Own infrastructure and workflows for ML data pools and datasets, including ingesting, organizing, curating, validating, and versioning data
Host in-house labeling tools and manage annotation workflows with external labeling partners
Automate and maintain infrastructure and workflows for ML training, evaluation, experiment tracking, and reproducibility
Build tooling and automation to move models from training and validation to reliable deployment
Monitor training and model performance and connect production data and failure cases back into the ML development loop
Provide tools, documentation, and workflows enabling Spatial AI engineers to move from data to deployable models
Transform historical and growing datasets into structured, versioned, reliable, and accessible ML assets

Requirements

What you’ll need

3+ years of experience in data engineering, MLOps, ML infrastructure, or related software engineering
Strong Python and software engineering skills, with experience building production-grade systems
Hands-on experience with data storage, databases, and data processing, including designing data structures and efficiently querying, transforming, and managing large datasets
Practical experience with AWS, particularly S3 and cloud-based compute and storage
Experience with the ML lifecycle, including dataset/model versioning, experiment tracking, training orchestration, model registries, or ML CI/CD
Experience working with ML datasets, including curation, versioning, annotation, and data quality
Experience with Docker, CI/CD, workflow orchestration, or infrastructure-as-code
Strong understanding of the practical needs of ML engineers and ability to build infrastructure that makes their work faster and more reproducible
Strong ownership and problem-solving skills, with ability to take an ambiguous problem from architecture to production
Proficiency in English
French is a plus
Nice to have: experience with MLflow, DVC, SageMaker, or similar MLOps technologies
Nice to have: experience with annotation platforms and external labeling teams
Nice to have: experience deploying ML models to embedded or resource-constrained platforms
Nice to have: experience orchestrating pipelines for fine-tuning, evaluation, and low-latency serving of Language Models

Benefits

Comp & perks

25 vacation days per year, plus all public holidays
Additional days off based on seniority, up to 5 days
Comprehensive accident insurance covering medical treatments and hospitalization
Flexible schedules
Option to work remotely up to 2 days per week
Discounts on gym memberships and sports events
Exclusive benefits through Swibeco, offering discounts and rewards at retailers and services
Team events including ski weekend, summer barbecue, and after-work gatherings