Data Scientist I

Company Description

Endovision helps improve the diagnostic accuracy of upper GI endoscopists by leveraging the power of deep learning and computational modeling and aid the doctors by providing real-time deep video analytics solutions. By enhancing efficiency, Endovision aims to facilitate better healthcare outcomes.

Role Description

This is an on-site role located in our New Delhi Office for Data Scientist-I. You will assist in developing end-to-end machine learning models using data analysis, feature engineering, and modeling techniques to solve industry-level problems.

You’d help create AI-first products -- implementing state-of-the-art research papers, contributing to the company IP, and technology stack deployed in Nvidia Edge GPU Ecosystem. You’d work on cutting-edge deep learning, computer vision, and graphics problems with an emphasis on endoscopy, with an opportunity to collaborate with research scientists and engineers at the Endovision and its partnering institutions. Candidates should have: Experience (academic or industry) with Computer Vision and Deep Learning in at least two of:- Neural networks - CNNs, RNNs, autoencoders, etc., and transfer learning - Generative deep learning method, esp. for image generation from images and videos - Numerical Optimization

Qualifications

• Proficient in Python and its scientific libraries (NumPy, Pandas, Scikit-Learn, etc.)
• Familiarity with Machine Learning techniques (regression, classification, clustering)
• Knowledge of Deep Learning frameworks (PyTorch, Keras, TensorFlow)
• Strong analytical and problem-solving skills
• Excellent communication and presentation skills, with the ability to summarize complex findings and present them to non-technical stakeholders
• Must have 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

Preferred Candidates: - You can independently implement/evaluate ideas efficiently on a modern deep learning stack, such as Python, PyTorch, and GPU-enabled compute.- You have implemented or published research papers from/at top academic conferences, such as CVPR, ICCV, TOG SIGGRAPH, etc. on a modern deep learning stack for computer vision applications. - Team player with a positive attitude, mindful, with good communication skills.

Benefits: -

• Training & Mentorship: Comprehensive training program and mentorship from experienced data scientists and healthcare professionals.
• Career Growth: Career Growth: be apart of fast pace high growth startup
• Networking: Engage with industry professionals and expand your professional network within the healthcare and data science communities.
• Work Environment: Collaborative and innovative work culture at the forefront of medical imaging technology.