zBliss Technologies

Data Scientist Intern (BB-F696A)

Found in: Talent IN

Description:
Internship Cohort Team Size 3 and Only if you can demonstrate the Skills listed below through Previous projects, College Projects, or self-learning exercises reflected in your resume Skills * Python * Thorough understanding of Pandas, Tensorflow 2, Keras and other related modules * Experience in managing datasets with millions of rows and multiple features * Strong understanding and subject expertise in Artificial Neural Network (ANN) and Recurrent Neural Network (RNN) * RNN and ANN Modeling using TensorFlow 2 and Keras * Diligence and accuracy in coding and data analysis * Conscientiousness, and Professional approach towards team work, project management, coding, and product development Education Students pursuing Data Science related graduate, post graduate, Doctoral, and integrated courses. Internship Duration The internship will be for six to nine months. We cannot accommodate internship period less than three months Internship Project Development and implementation of AI algorithms in Healthcare. You will be guided and coached extensively. You will need to perform and contribute positively to the project on a daily basis This is a full time PAID Internship for six to nine months. Location Chennai, or Work From Home because of the COVID19 Lockdown Application Process Apply through this web page. After reviewing your resume we will send you a pre-interview Programming Assessment Exercise to test your skills in Python, Data Management and Machine Learning. You will have to complete this exercise within five days of receipt of the Exercise and send the completed Exercise back to us. We will review your submission and if we consider your skills to match our expectations, we will do a phone interview and if possible an in-person interview. Upon successful completion of the interview process you will be given an internship offer.

calendar_today5 days ago

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info full time

location_on Nelamangala, India

work zBliss Technologies

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