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Requirements and Qualification:

  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Ability to write robust code in Python, Java and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). Understanding of algorithms like KNN, Naive Bayes , SVM , Decision Forests etc
  • Experience with data visualization tools like D3.js , Ggplot etc is desired.
  • Knowledge of databases like MYSQL , NOSQL is desired
  • Excellent communication skills
  • Ability to work in a team with data oriented personality
  • Outstanding analytical and problem-solving skills
  • B.Tech/B.E in Computer Science or similar field; Master’s degree is a plus

  • Responsibilities:

  • Study and transform data science prototypes . Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state of art methods
  • Research and implement appropriate ML algorithms and tools
  • Select appropriate data sets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field


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