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Sony Research India intern
Company Name: Sony Research India
Position: Data Science Intern
Location: Remote
Qualification: Bachelors, Masters degree with hands-on experience in Python, specifically in Machine Learning/Deep Learning models
Required Skills: Supervised and Unsupervised Machine learning models. Good Proficiency in PyTorch and TensorFlow. Experienced in EDA on Large Datasets. Exposure with AWS S3, Athena, and EC2. Familiarity with deep learning/machine learning frameworks including scikit-learn. Knowledge of custom training and development of deep learning models. Skilled in Data cleaning and hypothesis testing. Expertise in PyTorch. Previous internship experience in developing deep learning models. MLOps and Model Deployment. Dashboard development.
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Company Name: Sony Research India
Position: LLM Intern
Location: Remote
Duration: 6 Months
Qualification: Ph.D. or Master from Computer Science background or bachelor with hands-on experience in Python with an applications Language Processing.
Required Skills: Pytorch. Deep Learning/Machine Learning frameworks: Pytorch, Tensorflow, scikit-learn. Knowledge of the state-of-the-art in LLM, RAG, RLHF-based pipeline. Knowledge of generative AI models. Prior experience in the development of the Indian language NMT.
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Company Name: Sony
Position: Data Science Intern
Location: Remote/ Mumbai/Bengaluru
Qualification: Bachelors, Masters degree with hands-on experience in Python, specifically in Machine Learning/Deep Learning models.
Required Skills: Supervised and Unsupervised Machine learning models. Good Proficiency in PyTorch and TensorFlow. Experienced in EDA on Large Datasets. Exposure with AWS S3, Athena, and EC2. Familiarity with deep learning/machine learning frameworks including scikit-learn. Knowledge of custom training and development of deep learning models. Skilled in Data cleaning and hypothesis testing. Expertise in PyTorch. Previous internship experience in developing deep learning models. MLOps and Model Deployment. Dashboard development.
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Company Name: Sony Research India
Position: Computer Vision Intern
Location: Bangalore
Required Skills: Strong knowledge and relevant programming experience with Python, PyTorch, and other ML and DL libraries, mainly for Computer Vision tasks. Prior experience on applying advanced state-of-the-art deep neural networks-based models to continual / incremental / few shot learning for real world object detection / tracking / recognition and other content analysis vision problems. Knowledge on efficient large vision models or multi-modal approaches for various computer vision tasks such as content analysis, content generation, content moderation. Knowledge on generative AI models using advanced Transformer, GANs and Diffusion models. Demonstrate research capabilities through relevant publication record in top-tier conferences like CVPR, ECCV, ICCV, WACV, BMVC, NeurIPS, AAAI, etc. Programming experience with PyTorch, Scikit-Image, Pandas, OpenCV with Python.xperience in developing API’s (using Streamlit or FastAPI).Experience in AWS, Docker.
Company Name: Sony Research India
Position: Data Science Intern
Location: Bengaluru
Qualification: Master’s or Bachelor’s degree with relevant experience.
Required Skills: Strong proficiency in Python 3.x. Solid experience and understanding of Deep Learning and Transformers.Extensive experience with PyTorch, TensorFlow, and Git repositories. Demonstrated research experience with the ability to quickly understand and implement findings from research papers. Knowledge and experience in causal inference and various types of neural networks. Previous experience working with recommendation systems. Ability to efficiently conduct literature surveys and synthesize research ideas.
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Company Name: Sony Research India
Position: Data Science Intern
Location: Bengaluru
Qualification: Master’s or Bachelor’s degree with relevant experience.
Required Skills: Strong understanding in Supervised and Unsupervised Machine learning models using Python. Experience with PyTorch and TensorFlow and training deep learning models. Experience in exploratory data analysis on Large Datasets. Exposure to using AWS S3, Athena, and EC2. MLOps and Model Deployment. Dashboard development
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