Research Engineer – Generative AI and Computer Vision
Core
Develop and deploy Generative AI and deep learning solutions for industrial computer vision tasks like image inspection, defect detection, and synthetic data generation.
Role type
Senior Research Engineer (Generative AI & Computer Vision)
Builds
Scalable AI platforms for visual inspection, synthetic datasets, and continuous model monitoring.
Domain
Industrial automation, manufacturing quality control, computer vision
Deliverable
production ML models
Required skills
Generative AI (diffusion models, GANs), Computer Vision (CNNs, Transformers, object detection, segmentation), Python, PyTorch, Hugging Face, Synthetic data generation, Data-efficient learning (transfer, few-shot, self-supervised), Model monitoring (data drift, OOD detection), Research design & experimentation
Preferred skills
Industrial quality inspection experience, Vision-language models, MLOps, Cloud deployment (Docker, Kubernetes), Parameter-efficient fine-tuning (LoRA, QLoRA)
Technologies
PyTorch, Hugging Face, Docker, Kubernetes, OpenCV, NumPy, pandas, scikit-learn
Responsibilities
Design and implement Generative AI approaches for synthetic image datasets; Develop and evaluate deep learning models for industrial image inspection; Investigate data-efficient learning methods; Develop methods for continuously monitoring deployed models; Formulate research hypotheses and design controlled experiments; Build proof-of-concept solutions and integrate validated methods into scalable platforms; Contribute to the complete computer vision model lifecycle from data preparation to deployment; Translate research outcomes into production-ready AI components and contribute to IP portfolio
Seniority
Senior, hands-on IC
