• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations

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With our proprietary software and technologies, we deliver solutions to telecom operators, including Airtel, Dialog Axiata, Verizon Wireless, Vodafone, and Idea. A dedicated research team focuses on next-generation solutions with sensors, smart devices, location 5.0 technology, multi-lingual multi-modal communication, omnichannel delivery platforms, cloud technologies, virtualization, rack servers, mobile phones, analytics, machine learning, and IoT.
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