Design and develop machine learning algorithms and deep learning systems by collaborating with the data scientists and should be able to work in an agile environment.

Have a deep expertise in identifying the right algorithm(s) for a given client defined problem and the type of data available.

Perform data mining by applying machine learning and supervised or unsupervised learning algorithms.

Design models and pipeline for pre - processing of data and automatic classification based on Machine Learning /Artificial Intelligence models.

Prepare and analyze historical data and identify patterns.

Select appropriate datasets and data representation methods that have the maximum impact on desired outcome.

Perform Exploratory Data Analysis.

Generate and test working hypothesis.

Develop NLP techniques to sentiment analysis, classification, regression, disambiguation and neutral networks among others.

Extend existing ML libraries and frameworks.

Visualize, interpret, report and communicate data findings in various formats using Tableau, ggplot.

Provide technical support for product management and business development activities including proposal writing and technical documentation.

Integrate with cloud-based web technologies via web services API.

Stay up to date on Machine learning developments and latest AI technology.

Should have expertise in converting a business problem into mathematical problem, identify data-sets necessary to solve, develop the solution through contemporary algorithms or a combination thereof, build the final deployable algorithm(s) and thereafter convert it back to a business solution for sharing with clients.

Should be able to work seamlessly using agile principles - in a cross functional team in order to keep the team abreast of project progress.