Data Scientist - Computer Vision

As a Data Scientist specializing in Computer Vision at our corporate client, your role will involve designing, developing, and deploying advanced vision-based AI solutions. You will have the opportunity to work on real-world image and video datasets, build scalable deep learning models, and utilize GenAI and Vision AI techniques to tackle complex business challenges. Key Responsibilities: - Design and develop Computer Vision models for image and video analysis - Implement deep learning models such as CNNs, RCNNs, and Transformers - Build real-time and edge-based vision systems - Build scalable ML pipelines and deploy models to production - Perform data preprocessing, augmentation, and feature engineering - Integrate vision models with LLMs, OCR, and GenAI systems - Deploy models on AWS, Azure, or GCP - Implement monitoring, optimization, and lifecycle management - Work with CI/CD pipelines and scalable architectures Required Skills (Mandatory): - Strong experience in Computer Vision & Image Processing - Expertise in Deep Learning (CNNs, RCNNs, Transformers) - Hands-on experience with TensorFlow or PyTorch - Strong Python skills (NumPy, Pandas) - Experience with real-time or edge-based vision systems - Knowledge of ML pipelines and deployment Preferred Skills: - Experience with GenAI and Vision-based LLMs - Exposure to OCR and multimodal AI - Cloud experience (AWS, GCP, Azure) - Knowledge of MLOps and production systems If there are any additional details about the company in the job description, please provide them for inclusion in the job description. As a Data Scientist specializing in Computer Vision at our corporate client, your role will involve designing, developing, and deploying advanced vision-based AI solutions. You will have the opportunity to work on real-world image and video datasets, build scalable deep learning models, and utilize GenAI and Vision AI techniques to tackle complex business challenges. Key Responsibilities: - Design and develop Computer Vision models for image and video analysis - Implement deep learning models such as CNNs, RCNNs, and Transformers - Build real-time and edge-based vision systems - Build scalable ML pipelines and deploy models to production - Perform data preprocessing, augmentation, and feature engineering - Integrate vision models with LLMs, OCR, and GenAI systems - Deploy models on AWS, Azure, or GCP - Implement monitoring, optimization, and lifecycle management - Work with CI/CD pipelines and scalable architectures Required Skills (Mandatory): - Strong experience in Computer Vision & Image Processing - Expertise in Deep Learning (CNNs, RCNNs, Transformers) - Hands-on experience with TensorFlow or PyTorch - Strong Python skills (NumPy, Pandas) - Experience with real-time or edge-based vision systems - Knowledge of ML pipelines and deployment Preferred Skills: - Experience with GenAI and Vision-based LLMs - Exposure to OCR and multimodal AI - Cloud experience (AWS, GCP, Azure) - Knowledge of MLOps and production systems If there are any additional details about the company in the job description, please provide them for inclusion in the job description.