AI QA/DevOps Engineer

4 weeks ago


bangalore, India Paradise Placement Consultancy Full time

Job Description:

A platform that powers B2B conversations. The founding team has a stellar background in healthcare and technology - 20+ years each working for marquee companies - McKesson, ThermoFisher, Amazon, Microsoft, Uber, and the largest not-for-profit provider in the US with 2 exits (both acquired by publicly-traded companies). One of the team members has 150+ patents with 1500+ citations. Further, the team has a pedigree from UC Berkeley, Carnegie Mellon, NYU Stern, and IIT Delhi (All India Rank JEE 71).

AI QA/DevOps Engineer (6L -11L plus Generous pre-IPO stock options)

We are looking for an AI QA/DevOps engineer interested in functional, regression, and load testing of our AI platform. You will work across the entire tech stack: data engineers, NLP/MLP engineers, and full-stack engineers. We encourage our engineers to take ownership over technical and certain product decisions from day 1, interact with product management and data engineering teams, and contribute to a fun, fast-paced, dynamic, and transparent team culture.

Looking for someone who has the following skills:

Significant demonstrable experience (2-3 years) with functional, regression, and/or load testing

Experience with designing management of the API endpoints using tools like Apigee, and others

Generating management reports over the tests per API

Ensure quality assurance for ML datasets 

Bachelor in Computer Science. Top Engineering University is a plus

At the company, you will:

Work at a cutting-edge conversational AI company on a dynamic real-time web frontend

Work with Data engineers to test data pipelines, infrastructure, and real-time alerting systems

Nice to have:

QA/DevOps experience at a start-up or multi-national company managing a team of 2-3 people

Designing unseen edge cases for ML modeling

Designing near or real-time alerting system for failures in the architecture

Key Skills :

Regression And/or Load Testing Apigee
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