Dein persönlicher KI-Karriere-Agent
Machine Learning Engineer for Edge AI(m/w/x)
Deploying computer vision solutions for retail environments using PyTorch and ONNX Runtime. Deep learning for computer vision expertise required. Flexible hybrid work, international team.
Anforderungen
- Software engineering (Python)
- Deep learning for Computer Vision
- PyTorch
- Model deployment and optimization with ONNX Runtime and TensorRT
- Parameter / model studies, managing experiments
- SQL, Git, Linux
- Computer Vision
- Understanding and implementing research papers
- Efficient Deep Learning / Model Compression / Knowledge Distillation
- Data & annotation management
- Model performance optimization for NVIDIA hardware platforms
- Generative Models for text, image and video
- TensorRT / ONNX & ONNX Runtime
- CI / CD
- Docker / Containers
- Cloud storage and computer
Aufgaben
- Contribute to diverse ML projects
- Implement research ideas
- Improve training and deployment pipelines
- Enhance data quality and efficiency
- Assess and solve new ML use cases
- Scope and design ML solutions
- Build and improve internal ML framework
- Automate training, evaluation, and deployment
- Develop new ML models and architectures
- Build and use ML tools
- Conduct exploratory data analysis
- Audit and auto-label data
- Maintain ML data pipelines
- Manage on-premise and cloud resources (GCP)
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- ONNX Runtime
- TensorRT
- SQL
- Git
- Linux
- NVIDIA
- ONNX
- Docker
- Containers
Benefits
Flexibles Arbeiten
- Flexible work options
- On-site work option
- Hybrid work option
Lockere Unternehmenskultur
- International team
- No hierarchy
- No politics
Startup-Atmosphäre
- Part of large network
Sonstige Vorteile
- Extensive resources
Modernes Büro
- No walls
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Machine Learning Engineer for Edge AI(m/w/x)
Deploying computer vision solutions for retail environments using PyTorch and ONNX Runtime. Deep learning for computer vision expertise required. Flexible hybrid work, international team.
Anforderungen
- Software engineering (Python)
- Deep learning for Computer Vision
- PyTorch
- Model deployment and optimization with ONNX Runtime and TensorRT
- Parameter / model studies, managing experiments
- SQL, Git, Linux
- Computer Vision
- Understanding and implementing research papers
- Efficient Deep Learning / Model Compression / Knowledge Distillation
- Data & annotation management
- Model performance optimization for NVIDIA hardware platforms
- Generative Models for text, image and video
- TensorRT / ONNX & ONNX Runtime
- CI / CD
- Docker / Containers
- Cloud storage and computer
Aufgaben
- Contribute to diverse ML projects
- Implement research ideas
- Improve training and deployment pipelines
- Enhance data quality and efficiency
- Assess and solve new ML use cases
- Scope and design ML solutions
- Build and improve internal ML framework
- Automate training, evaluation, and deployment
- Develop new ML models and architectures
- Build and use ML tools
- Conduct exploratory data analysis
- Audit and auto-label data
- Maintain ML data pipelines
- Manage on-premise and cloud resources (GCP)
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- ONNX Runtime
- TensorRT
- SQL
- Git
- Linux
- NVIDIA
- ONNX
- Docker
- Containers
Benefits
Flexibles Arbeiten
- Flexible work options
- On-site work option
- Hybrid work option
Lockere Unternehmenskultur
- International team
- No hierarchy
- No politics
Startup-Atmosphäre
- Part of large network
Sonstige Vorteile
- Extensive resources
Modernes Büro
- No walls
Über das Unternehmen
Nomitri
Branche
IT
Beschreibung
The company is a global leader in Retail Software Technology, offering AI products for deep-learning computer vision in retail.
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