Research Engineer – Generative AI and Computer Vision

About the role

The Research Engineer – Generative AI and Computer Vision focuses on advancing state-of-the-art Generative AI and deep learning methods for real-world computer vision applications. The role combines applied research, experimentation, and engineering to develop robust AI solutions for image understanding, synthetic data generation, visual inspection, and continuous model monitoring.

What you'll do

• Generative AI and Synthetic Data: Research, design, and implement Generative AI approaches for creating realistic and diverse synthetic image datasets
• Explore diffusion models, generative adversarial networks, image-to-image generation, controllable generation, and related techniques to address limited data
• Computer Vision Model Development: Develop and evaluate deep learning models for industrial image inspection tasks such as image classification, defect detection
• Model Monitoring and Robustness: Develop methods for continuously monitoring deployed inspection models and image-data pipelines. This includes detecting data drift
• Research and Experimentation: Formulate research hypotheses, design controlled experiments and ablation studies, establish appropriate evaluation benchmarks

What you need

• 3–6 yrs of experience
• LLMs
• Computer vision
• Research
• Machine learning
• Python
• Deep learning
• M.Tech or PhD

Good to have

• Quantity estimation
• Docker
• Kubernetes
• Pandas
• Scikit-learn
• PyTorch