Machine Learning Engineer

Job Description:

Responsibilities:

• Have demonstrated passion and enthusiasm for Machine Learning and Deep Learning through projects, products, etc. Ability to develop new ML/DL models from scratch.

• Keep up-to-date with the advances in neural networks and particularly their applications to NLP problems

• Be sharp at Algorithm Design and Complexity Analysis, solving new problems with ease with effective and computationally efficient methods

• Enjoy programming and be comfortable with one or more languages such as, C, C++, Java, Scala, and Python

• Eager to quickly learn new concepts, languages, tools and technologies as required, for example, the credit underwriting fundamentals or new deep learning frameworks

• Enjoy building products that are generic and can cater to multiple tenants, through appropriate parameterization/abstraction

• Be ready to work on distributed programming and big data frameworks such as Spark and optimize the performance on multiple nodes

• Be excited to work in a startup environment and take end-to-end responsibilities working with the co-team members

Minimum qualifications:

B.Tech/M.Tech in a relevant field with 2+  years’ experience.

We process 100s of GB of structured and unstructured data per day which is growing exponentially and with newer types of data coming in, there is a huge opportunity in terms of both business and technical aspects to grasp.

About the Data Science and Artificial Intelligence team : The team is comprised of hard working and fun-loving people with distinguished backgrounds like B.Tech/M.Tech from IITs, BITS, NITs.. In many ways, the team acts as a compass for the company and thereby a compass for the whole credit ecosystem itself. Its contributions and capabilities are recognized not only internally but also externally, with most recently receiving a patent for our NLP and AI based unstructured data processing framework(FeatGen).