AI Engineer Computer Vision & MLOps

Twentyfour Industries; München; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Impact ownership

Defence tech

Remote options

Relocation support

Descripción de la vacante

Twentyfour Industries seeks a Computer Vision / ML Engineer to own the data, training, evaluation, and MLOps lifecycle for its camera-based perception models. You will turn real and synthetic drone data into reproducible, validated model releases, building pipelines that connect collection, annotation, training, evaluation, and release.

This ownership role involves working closely with robotics perception engineers and shaping how reliably the systems see and understand the world, including

Formación

• 3+ years building and shipping computer-vision or ML systems with ownership of data, training, and evaluation.
• Degree in computer science, machine learning, or related field, or equivalent hands-on experience.
• Hands-on PyTorch experience and end-to-end ML/MLOps ownership.

Responsabilidades

• Own data collection, annotation, training, evaluation, and MLOps lifecycle for perception models.
• Define objectives, interfaces, datasets and release standards for detection, segmentation, and depth tasks.
• Build and operate end-to-end pipelines for versioning, reproducible training, and CI/CD.
• Export, optimize, and validate models for ONNX and TensorRT.

Conocimientos

PyTorch

MLOps

Software engineering

CNN architectures

Transformer architectures

3+ years CV/ML

Educación

Degree in CS/ML

Herramientas

ONNX

TensorRT

NVIDIA Jetson

NVIDIA Isaac Sim

Descripción del empleo

We're looking for a highly driven Computer Vision / ML Engineer to own the data, training, evaluation, and MLOps lifecycle for our camera-based perception models. In this role, you'll turn real and synthetic drone data into reproducible, validated model releases, building and operating the pipelines that connect collection, annotation, training, evaluation, and release. This is an ownership role where you'll work closely with robotics perception engineers, directly shaping how reliably our systems see and understand the world.

The day-to-day

• Requirements definition: define clear objectives, interfaces, datasets, and release standards for deep learning tasks such as detection, segmentation, and depth
• Data strategy: drive real-world and synthetic data collection campaigns covering edge cases, rare conditions, and class imbalance
• Dataset integrity: build trusted, versioned, auditable datasets, maintaining lineage and preventing leakage across every model release
• Model performance: develop, train, and benchmark detection, segmentation, and depth-estimation models for aerial imagery
• Evaluation rigor: set a high bar for evaluation and failure analysis across range, altitude, illumination, and weather conditions
• MLOps ownership: build and operate the end-to-end pipeline for versioning, reproducible training, experiment tracking, and CI/CD
• Deliver production-ready model artifacts. Export and optimize models for ONNX and TensorRT, validate accuracy and runtime performance.

You should apply if you

• Computer vision depth: you have a deep understanding of CNN- and transformer-based architectures, training dynamics, and evaluation, with hands-on PyTorch experience
• Dataset discipline: you're experienced building representative dataset splits, validating annotations, and conducting detailed failure analysis
• MLOps experience: you have end-to-end production MLOps ownership, including experiment tracking, versioning, and CI/CD
• Software engineering: you write clean, tested, maintainable code and make sound performance and algorithmic trade-offs
• Track record: you bring 3+ years building and shipping computer-vision or ML systems with ownership across data, training, and evaluation
• Education: you hold a degree in computer science, machine learning, or a related field – or equivalent hands-on experience that speaks louder than the diplom

Nice to haves

• Aerial vision: experience with drone imagery, small-object detection, or low-light and low-resolution data
• Simulation expertise: hands-on experience with NVIDIA Isaac Sim, Omniverse, or other synthetic-data workflows
• Inference optimization: experience exporting and optimizing models with ONNX and TensorRT on NVIDIA Jetson hardware

What we offer

• Real impact & ownership: Shape high-tech defense systems and take responsibility from day one.
• Mission-driven environment: Work on technologies that matter for European security and sovereignty.
• Competitive package: Competitive salary, EGYM Wellpass , corporate benefits, and equity options aligned with role and level.
• Deep tech environment: Get hands-on experience withcutting-edgedrone technology and real operational use cases.
• Grow fast: Steep learning curve for juniors, strategicinfluenceand leadership opportunities for seniors.
• Startup mindset meets defence innovation: flat hierarchies, fast decisions, and space for your ideas.
• Flexibility: Flexible hours, remote options, and relocation support.
• Strong team: International, driven colleagues and a culture built on exchange, trust, and shared success.

About us

Twentyfour Industries is committed to building a fair, inclusive, and high-performance workplace where people from all backgrounds can contribute and thrive. Our team brings together individuals with different perspectives, experiences, and skills to shape the future of European security and technology.
All applicants will receive equal consideration for employment regardless of gender, age, disability, ethnic or social origin, religion or belief, sexual orientation, or any other status protected by applicable European or national law.
We particularly welcome applications from individuals who are underrepresented in the technology and defense sector, including women, people with disabilities, and those from diverse cultural backgrounds.
We aim to provide a respectful, supportive, and transparent recruitment process. If you require adjustments to take part in our hiring process, please let us know so we can accommodate your needs.
If you share our mission and are motivated to work on challenges with real-world impact, we look forward to your application.