Data Science and AI Engineer

2 days ago


Delhi, Delhi, India Endovision Full time
About Us

Endovision is a cutting-edge technology company that aims to revolutionize the field of medical imaging. We are committed to providing innovative solutions that enhance diagnostic accuracy and improve patient outcomes.

Job Overview

We are seeking an experienced Data Scientist to join our team in New Delhi. As a Data Scientist, you will play a key role in developing end-to-end machine learning models using data analysis, feature engineering, and modeling techniques to solve industry-level problems.

Responsibilities
  • Develop and implement state-of-the-art machine learning models to solve complex problems in computer vision and deep learning
  • Work closely with research scientists and engineers to develop AI-first products and contribute to the company's IP
  • Collaborate with cross-functional teams to deploy models in the Nvidia Edge GPU Ecosystem
  • Implement transfer learning, generative deep learning methods, and numerical optimization techniques
Requirements
  • Experience with Computer Vision and Deep Learning in at least two areas: neural networks, CNNs, RNNs, autoencoders, and transfer learning
  • Familiarity with Machine Learning techniques (regression, classification, clustering)
  • Proficient in Python and its scientific libraries (NumPy, Pandas, Scikit-Learn, etc.)
  • Knowledge of Deep Learning frameworks (PyTorch, Keras, TensorFlow)
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation skills
Preferred Qualifications
  • Independent implementation and evaluation of ideas efficiently on a modern deep learning stack
  • Prior experience with end-to-end machine learning projects
Salary Range

₹20-30 lakhs per annum (inclusive of bonuses and other benefits)

Why Join Us?
  • Comprehensive training program and mentorship from experienced data scientists and healthcare professionals
  • Career growth opportunities in a fast-paced startup environment
  • Networking opportunities with industry professionals and expansion of professional network within the healthcare and data science communities


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