Job description

At least 2-4 years of experience of working with real-world data and building statistical models. preferably in a startup.

Bachelor degree from a reputed Engineering college.

Work on AI and Deep learning projects

  • Experience with data visualization tools (e. g., Matplotlib, Seaborn, Tableau).
  • Proficiency in using query languages such as SQL and experience of working with relational and non-relational databases like MySQL, Postgres, Presto, and Mongo (Athena/redshift experience is an added advantage).
  • Proficiency in any modern BI tools like Tableau
  • Understanding of Python for Data pre-processing/building models using Numpy, Pandas, Scikit, and Tensorflow. NLP and LLM understanding is good to have.
  • Understanding of Basic Statistics.
  • Previous experience with version control systems (e. g., Git).
  • High-level written and verbal communication skills.
  • Deep understanding of key supervised and unsupervised ML algorithms - should be able to explain what is happening under the hood and their real-world advantages/drawbacks.
  • Strong foundation of statistics and probability theory.
  • Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Markov chain etc.) and experience with applications.
  • Exposure or Experience in Computer Vision (Open CV, Object Detection).
  • Good conceptual grasp of Algorithms, Math, Under-the-hood stuff.

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