Data scientist

2 weeks ago

Gurgaon, India Humonics Global Full time
Job Description
We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers. We want people who can empathize with the consumer, understand business problems and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. We want Data Scientists who can be key contributors in a fast-paced dynamic product development environment for building artificial intelligence products and services. Your primary focus will be in applying deep learning and artificial intelligence techniques, and building high quality prediction and recommendation systems integrated with numerous APIs and big data backend.
Responsibilities
Selecting features, building and optimizing classifiers and recommendation engines using deep learning techniques
Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.
Designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation.
Recommend and implement best practices around application of statistical modelling.
Create, train, test and deploy various neural networks to solve complex problems.
Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development.
Working with various forms of medical image data from radiology and pathology.
Skills and Qualifications
Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.
Must have experience with Tensorflow or Py Torch framework in building, training, testing and deploying neural networks
Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, Open CV etc.
Good, applied statistical skills, such as distributions, statistical testing, regression, etc.
Knowledge of data, data augmentation, data curation and synthetic data generation.
Experience in Computer Vision will be an advantage.
Excellent verbal and written communication skills
Excellent analytical and problem-solving skills with good attitude and keen to adapt evolving technologies
Education: BE/B Tech

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