QA Automation Engineer (ML/AI sphere)

Company Background

Our client develops and provides software that powers web and mobile platforms, cloud hosting solutions, interactive entertainment, and cutting-edge electronics through its Marketing platform. The client also provides global merchant solutions and game development. The company is creating a machine learning platform called neurothink.

Project Description

The aim is to develop MLaaS-platforms with high-performance GPU and CPU servers an end-to-end environment with the tools to build, train, and deploy models with the goal of removing complexity and improving API security in the machine learning workflow.

What You’ll Do
  • Defining acceptance criteria with team leads (infrastructure, ML architecture, DevOps, and UI/UX) using excellent written and verbal communication skills with the ability to clearly communicate and articulate opportunities across teams;
  • Comfortable synthesizing complex use cases for automation, ideally in data science, Al/ML, middleware;
  • Defining and owning quality roadmaps with phase reviews to assist Product Management to establish and manage the quality of software releases;
  • Confident working closely with Business, Product, and Development teams and provide each with regular design, execution, and overall reporting documentation;
  • Previously designed and executed full-stack QA plans as a Test Manager or QA Lead for multiple releases, ideally for ramp-up to product launch and ongoing cycles selecting and managing test management tools through the product life-cycle;
  • Implement QA workflows in CI/CD and test automation for emerging tech platforms;
  • Able to define and execute test campaigns across multiple requirement variations: Functional, Non-Functional, Integration, System, Regression, full End-to-End;
Test Automation
Job Requirements
  • 3 years in software quality assurance or 5+ years in software development;
  • Minimum Bachelor’s Degree of Science in a STEM field;
  • Experience in Data science/Machine Learning a plus;
  • History of go-to-market support in defining the opportunities and constraints of new and novel products;
  • Experience in a software as a service environment with Prometheus, Django, Kubernetes, and other related services;
  • Python coding and REST API development experience a plus;
  • Comfortable asking the right questions across teams and leadership levels with professional confidence;
  • Solid competency in synthesizing and presenting new requirements in situations where they may not be pre-defined or clear;
  • Self-driven and motivated “QA ace” with a desire to put on other hats as needed to define how we provide and guarantee amazingness with new and novel platforms;
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