
Junior Data Scientist
1 week ago
Design and implement solutions for data science and machine learning problems, Python language and toolboxes.
B.Tech, Dual Degree, M.Tech, or Master's in Engineering, Computer Science or Data Science from a reputed institution, with a minimum CGPA of 7.Minimum 1+ years of industry or research experience in data science and machine learning.
Strong foundation in statistics, linear algebra, probability, and basic ML algorithms, with excellent analytical skills.
Proficiency in Python; experience with IDEs such as PyCharm or VS Code.
Hands-on SQL with MySQL and PostgreSQL. LLM/GenAI fundamentals: prompting; AI algorithms & foundations beyond the basics: regularization, ensembles, search/optimization heuristics.
MDPs, bandits, policy/value methods; exposure to Gym or RLlib is a plus.
Deployment exposure: simple services/apps with FastAPI/Flask or Streamlit; packaging and virtual environments.
Big data & systems: willingness to explore front-end/back-end concepts and big data frameworks (e.g., containers/cloud familiarity (Docker; AWS/Azure/GCP).
Exposure to real-world AI/ML applications in the education sector.
Salary: To be determined based on experience and qualifications.
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