Senior Computer Vision Engineer (m/f/d)

We're looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You'll own the full lifecycle of CV systems - from model integration and orchestration to deployment on cloud and edge environments.

Your role

• Develop and deploy computer vision models for real-world video and sensor applications

• Build reliable training, evaluation and inference pipelines for large-scale data

• Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads

• Implement CI/CD, versioning and orchestration for ML pipelines

• Collaborate with research engineers to transition prototypes into scalable, production-grade systems

• Work with robotics and platform teams to ensure robust deployment at the edge

• 5-7 years experience in computer vision, ML engineering or production AI systems

• Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)

• Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)

• Familiar with distributed training, GPU management and inference optimisation

• Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling

• Pragmatic engineer - focused on reliability, reproducibility and maintainability

• Experience deploying CV models on edge devices or embedded systems

• Familiarity with TensorRT, quantisation, and real-time inference optimisation

• Background in video analytics, action recognition or multi-modal perception

• Understanding of model orchestration frameworks and large data pipelines

Why this role matters

You bridge research and production - turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.