GeBBS - Data Science Engineer - Machine Learning/Deep Learning
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Job Description
- The candidate will be responsible for developing ML or DL models for application areas such as NLP and Analytics (forecasting, classification etc.) and will be working with a team in bundling them.
- Should be able to create solutions and experiment with various algorithms, profile and benchmark the models.
- Interested in working with engineering team to design, code, train, test & deploy on enterprise scale ML systems
- Work alongside an excellent, cross-functional team across.
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- Work experience of 4-7yrs in Python Development.
- Design and develop the OCR service with AWS Textract, Google tesseract / Google Vision to extract information.
- Experience in open source OCR engine Tessaract would be a hug advantage
- 3yrs+ of professional software development experience with automation and Web scraping.
- Experience in ML, DL (Tensorflow, Keras, PyTorch), NLP and NLU (NLTK, Spacy, Flair, etc.)
Skills
AnalyticsAutomationData ScienceMachine LearningPythonSoftware DevelopmentIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
GeBBS Healthcare Solutions careers provide a gateway to professionals passionate about making a meaningful impact in the healthcare industry through innovative outsourcing solutions. As a leading provider of healthcare outsourcing solutions, GeBBS Healthcare Solutions specializes in medical billing, coding, revenue cycle management, and health information management services that help healthcare providers and payers improve their operational efficiency and financial performance. A career at GeBBS Healthcare Solutions means joining a team committed to excellence, integrity, and innovation. The company fosters a supportive and inclusive environment where employees can grow, thrive, and contribute to transforming healthcare services. With GeBBS Healthcare Solutions, embark on a rewarding career journey that combines professional growth with the opportunity to improve patient care and healthcare systems worldwide.
Important dates & deadlines?
Application Deadline
29 Sep 23, 02:59 PM IST
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