Code Compass 🧭
Germany
AI ML Engineer
- 3D
- AI
- C++
- Computer Vision
T
Computer Vision / ML Engineer - Data, Training, Evaluation, and MLOps Lifecycle Ownership
Full Remote
Relocation
AI Summary
We're looking for a highly driven Computer Vision / ML Engineer to own the data, training, evaluation, and MLOps lifecycle for 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. You should have a deep understanding of CNN- and transformer-based architectures, hands-on PyTorch experience, and end-to-end production MLOps ownership including experiment tracking, versioning, and CI/CD.
Key Highlights
Ownership of data, training, evaluation, and MLOps lifecycle for camera-based perception models
Building reproducible pipelines from data collection to model release
Hands-on PyTorch experience with CNN and transformer architectures
End-to-end MLOps including versioning, experiment tracking, and CI/CD
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Key Responsibilities
Define clear objectives, interfaces, datasets, and release standards for deep learning tasks such as detection, segmentation, and depth
Drive real-world and synthetic data collection campaigns covering edge cases, rare conditions, and class imbalance
Build trusted, versioned, auditable datasets, maintaining lineage and preventing leakage across every model release
Develop, train, and benchmark detection, segmentation, and depth-estimation models for aerial imagery
Set a high bar for evaluation and failure analysis across range, altitude, illumination, and weather conditions
Build and operate the end-to-end pipeline for versioning, reproducible training, experiment tracking, and CI/CD
Export and optimize models for ONNX and TensorRT, validate accuracy and runtime performance
Technical Skills Required
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Benefits & Perks
Competitive salary
EGYM Wellpass
Corporate benefits
Equity options
Flexible hours
Remote options
Relocation support
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Nice to Have
Aerial vision experience with drone imagery, small-object detection, or low-light and low-resolution data
Simulation expertise with NVIDIA Isaac Sim, Omniverse, or other synthetic-data workflows
Inference optimization experience with ONNX and TensorRT on NVIDIA Jetson hardware
Job Description
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.
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