Wisestep Hiring Drive 2024 For Data Scientist | Location Hyderabad

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Wisestep Hiring Drive 2024: Wisestep Hiring Drive 2024 for its Data Scientist. Wisestep Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor s degree. if you are interested, please apply as soon as possible.

Company Name: Wisestep

Role: Data Scientist

Location: Hyderabad

Experience: Freshers

Qualification: Bachelor s degree

Batch: Any

Job Type: Full Time

Salary: 7.7 To 9.8 LPA (Expected)

Wisestep Hiring Drive 2024

Job Description:

  • Wisestep is looking for passionate product-driven professionals to join their exciting team
  • We are looking for individuals who love data and want to build amazing products for a global market.


  • Proficiency in Python is a must. Good to have knowledge in other programming languages
  • Knowledge of statistics and machine learning (Probability theory, parametric and non-parametric models, supervised and unsupervised ML techniques, NLP, Word embeddings, etc.)
  • Strong experience in machine learning/artificial intelligence.
  • Should have developed and deployed at least one ML model into Production.
  • Knowledge of deep learning algorithms (CNN, RNN, LSTM, autoencoders, Large Language Models (LLMs) etc.)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).
  • Good to have Knowledge of ELK stack.
  • Good to have Knowledge in postgres sql.


  • Utilize artificial intelligence and machine learning concepts to solve challenging business problems.
  • Perform data mining and analysis to uncover insights and trends.
  • Develop and maintain web scraping scripts and tools to extract data from targeted websites.
  • Work on problems from various domains like NLP, Recommendation engine, computer vision etc
  • Should participate in complete project cycle i.e. understanding a problem statement, data gathering, analyzing data, Cleaning data, implementing appropriate ML/AI solution and deploying it to Production.
  • Should be able to learn new tools/languages quickly and continue expanding knowledge on latest advances in ML/AI

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