Computer Vision Research Engineer - Machine Learning/Deep Learning

<p><p><b>Job Title : Computer Vision Research Engineer</b><br/><br/><b>Location : Noida </b><br/><br/><b>Experience : 2-5 Years</b><br/><br/><b>Qualification :B.Tech </b><br/><br/><b>Job description</b><br/><br/><b>Core Responsibilities:</b><br/><br/>- Architect and develop novel Deep Learning (DL) and Machine Learning (ML) neural network architectures, including those for generative AI.<br/><br/></p><p>- Design, develop, and refine Vision-Language Model (VLM) architectures, and integrate them with generative AI techniques for </p><p>advanced multimodal understanding and generation.<br/><br/></p><p>- Spearhead the New Product Development (NPD) process, delivering innovative, differentiated products/solutions that provide distinct consumer advantages and exceed market benchmarks.</p><p><br/></p><p>- Engineer and implement advanced computer vision and deep learning algorithms to resolve intricate scene understanding challenges and their multimodal interpretations.<br/><br/></p><p>- Evaluate experimental visual and contextual data to discern and execute performance enhancement strategies.<br/><br/></p><p>- Facilitate the transition of algorithms into operational prototypes and/or real-time system demonstrations.<br/><br/></p><p>- Establish and manage a cohesive team of resources to ensure seamless integration with related functions.<br/><br/><b>Job Requirements :</b></p><p><p><b><br/></b></p><br/>- B.Tech in AI and Computer Science, Engineering, or a related discipline.<br/><br/></p><p>- 2 - 5 years of experience in computer vision, Generative AI, Vision Language Models (VLM), multimodal systems, and image processing.<br/><br/></p><p>- A strong background in designing image understanding, multimodal, and cross-domain learning algorithms.<br/><br/></p><p>- Hands-on experience with deployable, Real-time Vision Language Models (VLMs).<br/><br/></p><p>- Practical experience with acceleration frameworks such as NVIDIA TensorRT, DeepStream, and Intel OpenVINO is preferred.<br/><br/></p><p>- Proficiency in programming languages including Python or C++.<br/><br/></p><p>- Experience with Docker and Kubernetes.<br/><br/></p><p>- Knowledge of pattern recognition and Edge AI product development.<br/><br/></p><p>- Ability to review code, design architectures, and document core components.<br/><br/></p><p>- Familiarity with research and development practices and industry standards.<br/><br/></p><p>- Preferred : Hands-on experience with Natural Language Processing (NLP) and the integration of visual and textual signals for multimodal systems.</p><br/></p> (ref:hirist.tech)