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Voice Care Technologies

2.00 to 5.00 Years   Bangalore   04 Jan, 2023
Job LocationBangalore
EducationNot Mentioned
SalaryRs 1.0 - 4.0 Lakh/Yr
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    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 testingExperience with designing management of the API endpoints using tools like Apigee, and othersGenerating management reports over the tests per APIEnsure quality assurance for ML datasetsBachelor in Computer Science. Top Engineering University is a plusAtthe company, you will:Work at a cutting-edge conversational AI company on a dynamic real-time web frontendWork with Data engineers to test data pipelines, infrastructure, and real-time alerting systemsNice to have:QA/DevOps experience at a start-up or multi-national company managing a team of 2-3 peopleDesigning unseen edge cases for ML modelingDesigning near or real-time alerting system for failures in the architecture

Keyskills :
apigeefunctional regression

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