AI Research – AI Vision

We are looking for an AI Research to develop advanced Computer Vision and Multimodal AI solutions for our AI products, including Vision Agent Platform, eKYC, Intelligent Document Processing (IDP), and OCR systems.

Working closely with research and engineering teams, you will explore the latest AI technologies, improve state-of-the-art methods, and transform research ideas into scalable, production-ready AI solutions.

Key Responsibilities

• Research, develop, and optimize deep learning algorithms for Computer Vision and Multimodal AI applications.
• Design, implement, and improve models for object detection, tracking, segmentation, OCR, document understanding, face recognition, face anti-spoofing, video understanding, and Vision-Language Models (VLMs).
• Read, reproduce, evaluate, and improve state-of-the-art methods from leading AI conferences and open-source projects.
• Design experiments, analyze results, and evaluate models using appropriate metrics.
• Build scalable training pipelines and optimize models for efficient deployment using TensorRT, ONNX, or similar inference frameworks.
• Collaborate with software engineers to deploy AI models into production and contribute to technical documentation and knowledge sharing.
• Stay up to date with the latest advances in Computer Vision, Foundation Models, Multimodal AI, and Generative AI.

Must-Have Qualifications

• 2+ years of experience in Computer Vision, Deep Learning, or related AI research. Strong programming skills in Python, with hands-on experience using PyTorch or TensorFlow.
• Solid understanding of modern deep learning techniques, including CNNs, transformers
• Strong knowledge of Computer Vision, including object detection, tracking, segmentation, OCR, document understanding, face recognition, and face anti-spoofing.
• Hands-on experience training and optimizing deep learning models on large-scale datasets.
• Ability to design experiments, analyze quantitative results, and improve models based on evaluation metrics.
• Ability to read, understand, reproduce, and implement ideas from academic papers.
• Familiarity with Git, Linux, and Docker.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related field.
• Publications in leading AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI) or equivalent research contributions.
• Experience with Vision-Language Models (VLMs)
• Experience deploying AI models using TensorRT, ONNX Runtime, Triton Inference Server, NVIDIA DeepStream, or similar frameworks.
• Experience developing AI applications on NVIDIA Jetson or other embedded AI platforms.

What We Look For

• Passion for AI research and continuous learning.
• Ability to independently solve open-ended research problems through systematic experimentation and data-driven analysis.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and collaboration across research, engineering, and product teams.
• Ability to balance research innovation with practical engineering to deliver production-ready AI solutions.
• Ownership mindset, self-motivation, and the ability to thrive in a fast-paced environment.