• Having at least three years of working experience in the field

• Getting knowledge of statistical and predictive modeling concepts, machine learning approaches, data mining, clustering and classification techniques, recommendation and optimization algorithms.

• Being proficient in any of the following programming languages: R, Python, Java, Scala.

• Being familiar with all popular libraries used in machine learning such as NumPy, pandas, scikit-learn, nltk, fasttext.

• Being familiar with at least one popular deep learning framework such as Tensorflow, Pytorch, or  Keras.io.

• Being familiar with AWS ecosystem (EC2, S3), and Google Cloud (Google Big Query)

• Being familiar with at least one database system such as MySQL, MongoDB, AWS Redshift, or AWS Postgres.

Optional Requirements

• Having a Master's or Ph.D. Degree in Computer Science, Applied Statistics, Mathematics or a related Quantitative Discipline.

• Being familiar with Big Data (MapReduce, Spark)

• Having experience in working with Stream Data

• Having experience in working with Recommendation Engine, Object Detection, Image Classification, or Text Classification.