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Engineer - Machine Learning/Artificial Intelligence/Data Science

₹10L – ₹14L
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ML/AI Engineer | Data Science Engineer | Intelligence Engineer


Your primary responsibility is building automated intelligence into Simpl. Most of your projects will be relatively unstructured, and your job will be to build/improve a prediction and/or decision-making system.

Examples of questions your system might answer include:

- Which customers will repay the money we lend them?

- Who will have high value as a customer, conditional on repaying their first bill?

- We offer a variety of promotions to our customers.

- Who should receive which promotion in order to maximize growth?

These tasks involve data analysis, statistics, machine learning/AI, as well as very solid coding abilities. You will write production level code - the engineering team won't build it for you.

The ideal candidate will be a good coder in any language and will have a solid grasp of statistical analysis/machine learning. (We use Python, but if you use something else it's fine as long as you- re willing to learn Python.)

Example interview questions: -

- Why is Python slower than C?

- Why is Pandas/Numpy faster than pure Ppython?

- Suppose you run an A/B test, and discover that with p=0.03 B outperforms A. In mathematical terms, what does this mean?

- Why do random forests usually work better than decision trees?

For Faster responses to your application, apply on the following link :

About the company:

Simpl (getsimpl.com) is the payment platform for the mobile-first consumer centric world, backed by some of the best names in fintech globally.

In a world connected by technology, managing money should be simple. Whether you're buying your favorite books online, splitting a dinner bill with your friends, or paying for a cab ride, making a transaction should be as easy as pressing send on Whatsapp. That is Simpl's mission to make money so easy, that people can focus on living well and doing amazing things.

The first product is a payment platform that lets people buy instantly, anywhere online, and pay once in 15 days. Think Amazon one-click for e-commerce. In the background, Simpl uses big data for credit underwriting, risk and fraud modelling, all without any paperwork, and enables Banks and Non-Bank Financial Companies to access a whole new consumer market.

Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards the long term vision of making money Simpl. This means that you have to be highly self-motivated, extremely intelligent, out of the box & resourceful thinker, team player, with can-do attitude and high integrity.

Simpl was co-founded by Nitya Sharma and Chaitra Chidanand, and has Joe Saunders, Ex Chairman and CEO of Visa as a board member.

Simpl at a glance

Buy Now, Pay Later

Simpl focuses on E-Commerce, Payments, Credit, and Finance Technology. Their company has offices in Bengaluru. They have a mid-size team that's between 51-200 employees.

You can view their website at http://getsimpl.com or find them on Twitter, Facebook, LinkedIn, and Product Hunt.

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