About our client:
One of the fastest growing big-data platform in the region, wherein its Technology Platform is driven by Deep Insights derived from Purchase Behaviour. The Proprietary Engine of the Platform is powered by ML, Deep Learning & AI, designed by some of the leading scientists across the globe. The company leverages on multiple data sources across industries, so as to add value to its banking partners & drive ROI for them, marketers and other partners in the value chain. The venture is backed by serial entrepreneurs, senior bankers, product heads, data scientists & digital experts of leading companies, some of whom are noted alumni of Harvard Business School, IIM-A, IIT, leaders of Fortune 50 companies and others. Over last few months the company has partnered with the leading 17 Banks of Asia. It now has operations across 14 countries.
ML Scientist :
- PhD in machine learning
- Solid background in statistical learning techniques (Deep Learning, Hidden Markov Model, CRF, Support Vector Machine, MRF etc)
- Skilled with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet.
- Must have ML algorithm implementation experience as well as the ability to modify standard algorithms (e.g. change objectives, figure out the math and implement)
- Experience and motivation to work on modern deep learning approaches to look alike modeling using SVM etc
- Strong programming skills in at least one object oriented programming language (Java, Scala, Python, R etc.)
- Eager to learn new algorithms, new application areas and new tools.
- Excellent communication skills
- Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning.
- Track-record of having developed novel algorithms, e.g. publications in journals
- Experience with filesystems, server architectures, and distributed systems
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