Job
Description
Role Overview: Endovision is offering an on-site internship role in New Delhi for a Data Science Intern. As a Data Science intern, you will be involved in developing end-to-end machine learning models by utilizing data analysis, feature engineering, and modeling techniques to tackle industry-level challenges. Your primary focus will be on creating AI-first products, implementing cutting-edge research papers, contributing to the company's intellectual property, and working with the technology stack deployed in Nvidia Edge GPU Ecosystem. You will be engaged in addressing deep learning, computer vision, and graphics problems, particularly in the field of endoscopy. This role also provides an opportunity to collaborate with research scientists and engineers at Endovision and its partnering institutions. Key Responsibilities: - Assist in developing end-to-end machine learning models using data analysis, feature engineering, and modeling techniques - Create AI-first products by implementing state-of-the-art research papers and contributing to the company IP - Work on cutting-edge deep learning, computer vision, and graphics problems, with a focus on endoscopy - Collaborate with research scientists and engineers at Endovision and its partnering institutions - Utilize Python and its scientific libraries for data analysis - Apply machine learning techniques such as regression, classification, and clustering - Work with Deep Learning frameworks like Keras, TensorFlow, and PyTorch - Demonstrate strong analytical and problem-solving skills - Communicate complex findings effectively to non-technical stakeholders - Pursue a Bachelor's or Master's degree in Computer Science, Statistics, or a related field - Experience with end-to-end machine learning projects is a plus Qualification Required: - Proficiency in Python and its scientific libraries (NumPy, Pandas, Scikit-Learn, etc.) - Familiarity with Machine Learning techniques (regression, classification, clustering) - Knowledge of Deep Learning frameworks (Keras, TensorFlow, PyTorch) - Strong analytical and problem-solving skills - Excellent communication and presentation skills - Pursuing a Bachelor's or Master's degree in Computer Science, Statistics, or related field - Experience with end-to-end machine learning projects is a plus (Note: The JD did not provide any additional details about the company.) Role Overview: Endovision is offering an on-site internship role in New Delhi for a Data Science Intern. As a Data Science intern, you will be involved in developing end-to-end machine learning models by utilizing data analysis, feature engineering, and modeling techniques to tackle industry-level challenges. Your primary focus will be on creating AI-first products, implementing cutting-edge research papers, contributing to the company's intellectual property, and working with the technology stack deployed in Nvidia Edge GPU Ecosystem. You will be engaged in addressing deep learning, computer vision, and graphics problems, particularly in the field of endoscopy. This role also provides an opportunity to collaborate with research scientists and engineers at Endovision and its partnering institutions. Key Responsibilities: - Assist in developing end-to-end machine learning models using data analysis, feature engineering, and modeling techniques - Create AI-first products by implementing state-of-the-art research papers and contributing to the company IP - Work on cutting-edge deep learning, computer vision, and graphics problems, with a focus on endoscopy - Collaborate with research scientists and engineers at Endovision and its partnering institutions - Utilize Python and its scientific libraries for data analysis - Apply machine learning techniques such as regression, classification, and clustering - Work with Deep Learning frameworks like Keras, TensorFlow, and PyTorch - Demonstrate strong analytical and problem-solving skills - Communicate complex findings effectively to non-technical stakeholders - Pursue a Bachelor's or Master's degree in Computer Science, Statistics, or a related field - Experience with end-to-end machine learning projects is a plus Qualification Required: - Proficiency in Python and its scientific libraries (NumPy, Pandas, Scikit-Learn, etc.) - Familiarity with Machine Learning techniques (regression, classification, clustering) - Knowledge of Deep Learning frameworks (Keras, TensorFlow, PyTorch) - Strong analytical and problem-solving skills - Excellent communication and presentation skills - Pursuing a Bachelor's or Master's degree in Computer Science, Statistics, or related field - Experience with end-to-end machine learning projects is a plus (Note: The JD did not provide any additional details about the company.)
