Job Description
Key Responsibilities:
Strong knowledge of cloud platforms (AWS, Azure, GCP) including deployment and management of applications
Familiarity with Generative AI concepts, specifically large language models (LLMs), and their application in real-world projects using ACCELQ
Hands-on experience with Deep Learning, LLM and Python
Define and implement the end-to-end test automation strategy using ACCELQ GenAI capabilities
Generate test assets using NLP from user stories and business requirements
Automate E2E workflows across web, API, and mobile platforms
Manage CI/CD-integrated autonomous testing (visual regression, self-healing)
Optimize test suites using AI-powered analytics
Collaborate with product, dev, and QA teams; mentor junior members
Integrate ACCELQ with Jira, Jenkins, GitHub, Slack
...
Strong knowledge of cloud platforms (AWS, Azure, GCP) including deployment and management of applications
Familiarity with Generative AI concepts, specifically large language models (LLMs), and their application in real-world projects using ACCELQ
Hands-on experience with Deep Learning, LLM and Python
Define and implement the end-to-end test automation strategy using ACCELQ GenAI capabilities
Generate test assets using NLP from user stories and business requirements
Automate E2E workflows across web, API, and mobile platforms
Manage CI/CD-integrated autonomous testing (visual regression, self-healing)
Optimize test suites using AI-powered analytics
Collaborate with product, dev, and QA teams; mentor junior members
Integrate ACCELQ with Jira, Jenkins, GitHub, Slack
...
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