Computer Vision Research Engineer

1 week ago

Noida, India YO HR Consultancy Full time

Job Title : Computer Vision Research EngineerLocation : Noida Experience : 2-5 YearsQualification :B.Tech Job descriptionCore Responsibilities:- Architect and develop novel Deep Learning (DL) and Machine Learning (ML) neural network architectures, including those for generative AI.- 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, delivering innovative, differentiated products/solutions that provide distinct consumer advantages and exceed market benchmarks.- Engineer and implement advanced computer vision and deep learning algorithms to resolve intricate scene understanding challenges and their multimodal interpretations.- Evaluate experimental visual and contextual data to discern and execute performance enhancement strategies.- Facilitate the transition of algorithms into operational prototypes and/or real-time system demonstrations.- Establish and manage a cohesive team of resources to ensure seamless integration with related functions.Job Requirements :- B.Tech in AI and Computer Science, Engineering, or a related discipline.- 2 - 5 years of experience in computer vision, Generative AI, Vision Language Models (VLM), multimodal systems, and image processing.- A strong background in designing image understanding, multimodal, and cross-domain learning algorithms.- Hands-on experience with deployable, Real-time Vision Language Models (VLMs).- Practical experience with acceleration frameworks such as NVIDIA TensorRT, DeepStream, and Intel OpenVINO is preferred.- Proficiency in programming languages including Python or C++.- Experience with Docker and Kubernetes.- Knowledge of pattern recognition and Edge AI product development.- 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 the integration of visual and textual signals for multimodal systems. (ref:hirist.tech)

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