Develop, design and build models using Machine Learning and Deep learning
Develop processes and tools to monitor and analyze model performance and data accuracy.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Running machine learning tests and experiments.
Use predictive modeling to increase and optimize customer experiences, revenue generation etc.
You are expected to pick up the necessary skills and contribute towards a successful product execution.
Minimum 3+ Experience in machine learning techniques for addressing various problems (e.g. transaction categorization, revenue forecasting, image classification, text extraction, anomaly detection etc.)
Experience with machine learning algorithms (e.g. k-nearest neighbours, random forests, ensemble methods, deep neural networks, SVM, etc.) and when it is appropriate to use each technique.
Building machine learning models and systems, interpreting their output and communicating the results
Proven strong problem-solving skills with an emphasis on analytical/machine learning product development.
Experience in Python and Data science libraries like Keras, Tensor Flow, Pytorch, Scikit Learn. Numpy, Pandas
Experience in Visualization libraries using Python (Matplotlib, Seaborn, bokeh, etc.), JavaScript (d3) or PowerBI
Experience in Data Storage Processing technologies, including SQL, NoSQL, Hadoop, Postgres, Spark
Experience in NLP
Strong focus on fast and incremental value delivery
Ability to work alone and have an ownership mentality
We are polyglots, so a willingness to learn new technologies is a must.