Outplay Hiring Data Scientist Intern 2022|Job Updates|Engineering Trending Jobs|

 

Outplay Hiring Data Scientist Intern 2022



Eligibility Criteria
Job RoleData Scientist Intern
EducationBachelors or Masters
Batch2023/2024
BranchComputer Science, Statistics, Mathematics, Operations Research or related field
CTCNot Disclosed
Experience0 to 6 Months
Job LocationHyderabad
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Primary Skills:

  • Ongoing Bachelors or Masters in a quantitative field such as Computer Science, Statistics, Mathematics, Operations Research or related field with focus on applied Machine Learning, AI, NLP and data-driven statistical analysis & modelling.
  • Relevant Internships or Projects experience applying AI/ML/NLP/Deep Learning/ data-driven statistical analysis & modelling solutions to multiple domains. Experience in the Sales and Marketing domain is a plus.
  • Experience in building Natural Language Processing (NLP), Conversational Intelligence, and Virtual Assistants based features.
  • Excellent grasp on programming languages like Python.
  • Proficient in analysis using python packages like Pandas, Plotly, Numpy, Scipy, etc.
  • Strong and proven programming skills in machine learning and deep learning with experience in frameworks such as TensorFlow/Keras, Pytorch, Transformers, Spark etc
  • Excellent communication skills to explain complex solutions to stakeholders across multiple disciplines.
  • Experience in SQL, RDBMS, Data Management and Cloud Computing (AWS and/or Azure) is a plus.
  • Experience of training and deploying different Machine Learning models
  • Passion for solving AI/ML problems for both textual and voice data.
  • Fast learner, with great written and verbal communication skills, and be able to work independently as well as in a team environment.

Job Responsibilities:

  • Take AI initiatives for creating new feature prototypes and minimum viable products
  • Conduct product research and analysis in natural language processing, conversation intelligence, and virtual assistant technologies
  • Work closely with multiple teams on projects using textual and voice data to build conversational intelligence
  • Conduct experiments to assess the precision and recall of language processing modules and study the effect of such experiments on different application areas of sales
  • Collaborate with teams and come up with new ideas for rapid prototyping. Convert prototypes into scalable and efficient products.
  • Use independent judgment to suggest enhancements in product by using existing data and building AI/ML models
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