Company Name:-
Epsilon India

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Contribute and build an internal product library that is focused on solving business problems related to prediction & recommendation.

Research unfamiliar methodologies, techniques to fine tune existing models in the product suite and, recommend better solutions and/or technologies.

Improve features of the AIQ product to include newer machine learning algorithms in the likes of product recommendation, real time predictions, fraud detection, offer personalization etc
Collaborate with client teams to on-board data, build models and score predictions.

Participate in building automations and standalone applications around machine learning algorithms to enable a “One Click” solution to getting predictions and recommendations.

Analyze large datasets, perform data wrangling operations, apply statistical treatments to filter and fine tune input data, engineer new features and eventually aid the process of building machine learning models.

Run test cases to tune existing models for performance, check criteria and define thresholds for success by scaling the input data to multifold.

Demonstrate a basic understanding of different machine learning concepts such as Regression, Matrix Factorization, K-fold Validations and different algorithms such as Decision Trees, Random Forrest, K-means clustering.

Qualifications
Bachelor’s degree in a quantitative discipline (e.

g.

, Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework
Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
Proficiency with a deep learning framework such as TensorFlow or Keras; minimum 1 years of experience
Exposure to CNN, RNN neural networks based professional projects solving problem in the likes of time series data and image data.

In-depth understanding of LSTM concepts and be able to implement advances techniques such as stacked, bidirectional and seq2seq
Demonstrated proficiency in PYTHON and BIG DATA technologies and the proven ability to program in big data/cloud technologies such as AWS & SPARK; minimum 2 years of experience
A Deep understanding of Recommender Systems and applications around real-time predictions
Experienced with machine learning algorithms such as logistic reg

FOR MORE DETAILS CLICK BELOW LINK

Click Here For More Details