Job Description
Key Responsibilities
1. Total experience of 4-7 years spanning across domain of Testing – Quality engineering (4+ years), Test automation – Java – selenium – python (2+ years) with recent technologies of Generative AI (1+ years)
2. Programming and Scripting: Proficiency in programming languages used for Test automation, Test Automation Framework creation. Ability to write scripts for test automation and data generation and handling test dependencies like mocking.
3. Data Management and Vector Database: Skills in data handling, preprocessing, and manipulation. Proficiency in managing vector databases embeddings, designing and optimizing indexing strategies, efficient retrieval.
4. Testing and Quality Engineering: Strong background in software testing principles and methodologies. Experience in creating test plans, test cases, and executing manual and automated tests. Familiarity with various testing types, including functional, regression, performance, and security testing. Having handled complex test programs, integrations with CICD – DevOps pipelines…
5. Test Transformation Consulting: Awareness on understanding the current state and creating roadmap for testing transformation, typical challenges, ways of working, delivery constructs, centralized – federated models of test teams, tools & frameworks for test automation and adjacent areas, shift left, shift right
6. Industry Domain Testing experience: Understanding of two or more industry or domain for which testing is being performed. Like Banking, Retail, Telecom, Health, Insurance,... Awareness of specific quality and compliance standards relevant to the domain.
7. Industry LLMs: experience in working with two or more open source / licensed: ChatGPT, Azure OpenAI, VertexAi, Plam, Llama, Falcon, Hugging face, Sagemaker, … Basic understanding of Model Architecture and how it processes and generates content.
8. Retrieval augmented generation – RAG: Extensive experience if using RAG models on specific datasets or domains to improve and reference outcomes for testing and quality engineering tasks
9. Contextual Grounding: Ability to ground entities in context, considering the dynamic nature of information and the evolving context.
10. Ethical and Security, Data Privacy Considerations: Awareness of ethical considerations in AI, including bias mitigation and responsible AI practices and data privacy, security elements
Experience: 3-5 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.