Computer Vision Research Engineer

YO IT Group

2 years

20 - 25 Lacs

noida uttar pradesh india

Posted:2 days ago| Platform:

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Skills Required

vision research learning network ai design model development algorithms interpretation analyze visual data integration electrical engineering python docker recognition code processing

Work Mode

On-site

Job Type

Full Time

Job Description

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.

Skills: generative ai,algorithms,computer vision,image processing,deep learning

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