Impact Analytics Hiring Software Engineer – Apply Now

Impact Analytics Hiring Software Engineer via an challenge on Hacker earth platform which started on 12 Nov 2021 to 21 Nov 2021 so apply now, for more details Go through the page

ABOUT CHALLENGE

We, at Impact Analytics, are looking for a Software Engineer (Frontend – React, YOE: 0-2), Senior Software Engineer (Frontend – React, YOE: 2-6) and Senior Software Engineer (Frontend – React, YOE: 6+) to join us, to design and build the future of AI/ML-enabled enterprise SaaS software for retail and consumer companies. The challenge is designed to test you on key concepts and will mimic the type of challenges you will solve at Impact Analytics on a day-to-day basis.

Excel in this challenge and come one step closer to building a future-ready product with Impact Analytics.

Impact analysis

Job Summary

Job Role Software Engineer – Front End (ReactJS)
Experience0 – 2 Years
LocationBangalore
Openings10

Eligibility Criteria:

Years of experience:
Software Engineer (Frontend – React, YOE: 0-2)
Skills: HTML, CSS, other relevant skills.
Challenge Format:

1 File Upload Question Type
Post success completion of the Hackathon, the candidates will go through the following interview process (There are elimination rounds) –

Technical Round – Facilitated by one of our tenured technical experts, this round will test your coding skills and expertise in the technical topics. It will also test your logical ability and problem solving skills.
Management Round – Facilitated by one of our business leaders, this round will test your organizational fit, technical skills and ability to integrate into our organization
HR Round – Facilitated by one of the HR leaders, this round will have discussions on the long term fit and discussions on various HR related topics

Final Offer – Candidates clearing all the above rounds, will be made the final offer
Note: The organization may choose to add or skip rounds based on the candidates performance in hackathon/various rounds

Our Flagship products are Promosmart, AllocateSmart, AssortSmart and MarkSmart, all of them are related to Artificial Intelligence / Machine Learning for the retail industry, where we design algorithms to help retailers either predict a discounted price or the product quantity, all of them aimed at maximizing profits.

Our Tech Stack is:

  • Front-End – Html, CSS, ReactJS
  • Back-End – Python 3.6+, Fast API
  • Database – Postgresql 12+
  • Cloud Deployment – GCP
  • CI / CD – Jenkins, Ansible

Repository – Bitbucket (Git)

Note

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