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AI Scientist

Human Resources's profile picture
Posted by Human Resources
3 - 7 yrs
₹7L - ₹20L / yr (ESOP available)
Bengaluru (Bangalore)
Skills
Computer Vision
Image Processing
skill iconDeep Learning
Algorithms

The role involves computer vision tasks including development, customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc. ) and traditional Image Processing (OpenCV etc. ). The role is research focused and would involve going through and implementing existing research papers, deep dive of problem analysis, generating new ideas, automating and optimizing key processes.

 

Requirements:

  • 2 - 4 years of relevant experience in solving complex real-world problems at scale via deep learning, computer vision or AI
  • Python, cuDNN, Tensorflow/PyTorch/Keras (or similar Deep Learning frameworks).
  • CNNs, RNNs, Transfer learning (for image classification, segmentation, object detection etc).
  • Image Processing techniques using OpenCV or other white-box image feature extraction algorithms.
  • End to end deployment of deep learning models.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Synapsica Technologies Pvt Ltd

Founded :
2017
Type :
Services
Size
Stage :
Raised funding

About

Synapsica is a HealthTech and Teleradiology firm founded by alums from AIIMS Delhi, IIT - KGP & IIM - A with a vision to increase accessibility of diagnostic services to every corner of world. We are developing Artificial Intelligence for Radiodiagnosis to aid radiologists by reducing errors, improving efficiency and automating any monotonous work. Presently, our radiologist and tech panel has some of the best talent from top institutes in the country. We use NLP, Computer Vision & Deep Learning based software products to assist diagnosis in X-Ray, CT and MRI scans. Our Machine Learning automation allows for workflow management at Diagnostic Centers bringing efficiency to the entire process of stakeholders coordination, disease interpretation & report generation. Through our efforts we hope to bring accountability, standardization, efficiency and hence better patient care to the medical field.
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Tech stack

skill iconKubernetes
skill iconAmazon Web Services (AWS)
skill iconDocker
skill iconPython
Firebase
skill iconMongoDB
skill iconReact.js
skill iconNodeJS (Node.js)
skill iconMachine Learning (ML)

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Amrita Yadav
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Meenakshi Singh
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Kuldeep Singh Chauhan
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Rachayeta Singla
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