AI QA/DevOps Engineer
Found in: Whatjobs IN C2 - 1 week ago
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 :
RegressionAnd/or Load TestingApigee
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