Computer Vision Research Engineer

12 hours ago

Noida, Uttar Pradesh, India YO HR Consultancy Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Experience: 2 - 5 Years
Core Responsibilities
  • Architect and develop novel deep learning and machine learning neural network architectures, including generative AI models.
  • Design, develop, and refine Vision–Language Model (VLM) architectures and integrate them with generative AI techniques for advanced multimodal understanding and generation.
  • Spearhead the New Product Development (NPD) process to deliver innovative, differentiated products and solutions that provide clear consumer advantages and exceed market benchmarks.
  • Engineer and implement advanced computer vision and deep learning algorithms to address complex scene understanding and multimodal interpretation challenges.
  • Analyze experimental visual and contextual data to identify and implement performance improvement strategies.
  • Deploy algorithms into operational prototypes and real-time system demonstrations.
  • Lead and manage cross-functional teams to ensure seamless integration with related functions.
Job Requirements
  • B.Tech or Bachelor's degree in Computer Science, AI, Electrical/Electronic Engineering, or a related discipline.
  • 2–5 years of experience in computer vision, generative AI, Vision–Language Models (VLM), multimodal systems, and image processing.
  • Strong background in designing image understanding, multimodal, and cross-domain learning algorithms.
  • Practical experience deploying real-time Vision–Language Models (VLMs).
  • Experience with acceleration frameworks such as NVIDIA TensorRT, DeepStream, and Intel OpenVINO is preferred.
  • Proficiency in Python and/or C++.
  • Experience containerizing and orchestrating applications with Docker and Kubernetes.
  • Knowledge of pattern recognition and Edge AI product development.
  • Strong ability to review code, design architectures, and document core components.
  • Familiarity with research and development practices and industry standards.
  • Preferred: Hands-on experience with Natural Language Processing (NLP) and integrating visual and textual signals for multimodal systems.

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