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Research Engineer – Generative AI and Computer Vision

Job Overview

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 will contribute to applied research and development of scalable AI capabilities spanning the full computer vision lifecycle—from data preparation and model development to deployment, monitoring, and continuous improvement.

Key points

  1. Explore diffusion models, generative adversarial networks, image-to-image generation, controllable generation, and related techniques to address limited data, rare defects, class imbalance…

  2. Computer Vision Model Development: Develop and evaluate deep learning models for industrial image inspection tasks such as image classification, defect detection, anomaly detection…

  3. Work with CNN-based, transformer-based, and multimodal architectures.

  4. Data-Efficient Learning: Investigate methods including transfer learning, self-supervised learning, few-shot learning, domain adaptation, active learning…

  5. Ph.D. or M.S. or M. Tech from top Indian or foreign institutes (IITs, IIITs, IISc etc.) in Computer Science, Artificial Intelligence, Machine Learning…

  6. Strong understanding of machine learning, deep learning, and computer vision fundamentals.

  7. Hands-on experience developing computer vision solutions using techniques such as convolutional neural networks (CNNs) and other sequence models where applicable, transformers, autoencoders…

  8. Strong proficiency in Python and hands-on experience with PyTorch. Experience with supporting libraries such as NumPy, pandas, OpenCV, scikit-learn, and common image-processing libraries.

Skills

Computer VisionGenerative AIDeep LearningMachine LearningPrototypingPythonMLOpsCommunication

Experience: Entry-level · 3+ years · Job type: Full-time

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