

AI Testing Engineer
AI Testing Engineer at Lenovo Opportunity Overview Lenovo is hiring an AI Testing Engineer to join its hardware engineering team in Bangalore, India. This full-time role focuses on validating AI and machine learning systems, ensuring they perform accurately, reliably, and without bias before they reach customers. The position sits within a company that generates US$83 billion in annual revenue and ranks 196 on the Fortune Global 500. Lenovo has grown from the world's largest PC maker into a full-stack technology company. Its portfolio spans AI-enabled devices like PCs, workstations, smartphones, and tablets, plus infrastructure including servers, storage, edge computing, and high-performance computing systems. The company operates in 180 markets and is listed on the Hong Kong Stock Exchange under Lenovo Group Limited (HKSE: 992, ADR: LNVGY). Its stated mission is delivering "Smarter Technology for All," with heavy investment in AI-ready and AI-optimized products. Bangalore, often called India's Silicon Valley, is the country's technology hub. The city hosts major global tech companies and startups, with a thriving ecosystem of data scientists, engineers, and product teams. The cost of living in Bangalore is moderate compared to Western tech hubs, though housing in central areas has risen in recent years. The city enjoys a mild climate year-round, with temperatures typically ranging from 15°C to 34°C. Work culture in Bangalore's tech sector tends to be collaborative and fast-paced, with English widely spoken in professional settings. Lenovo's Bangalore office is one of its key engineering locations in India, alongside operations in other Karnataka locations. This role suits someone with a computer science background and some exposure to software testing or quality assurance. You will work alongside data scientists and developers to build and execute test strategies for AI systems, automate testing processes, and ensure data quality across the board. Responsibilities - Design, develop, and execute test plans and test cases for AI/ML-based applications - Validate AI models for accuracy, bias, performance, and reliability - Perform functional, regression, integration, and system testing - Test data pipelines, model training workflows, and inference systems - Analyze model outputs and identify anomalies or inconsistencies - Collaborate with data scientists, developers, and product teams - Automate test cases using modern automation tools and frameworks - Ensure data quality, integrity, and compliance in AI systems - Document defects, track issues, and support resolution - Stay updated with the latest AI testing tools and trends Requirements & Qualifications - Bachelor's degree in Computer Science, IT, or a related field - 0 to 2 years of experience in software testing or QA - Basic understanding of AI/ML concepts, including supervised learning, unsupervised learning, and NLP - Knowledge of testing methodologies and SDLC/STLC - Familiarity with Python or any programming language - Understanding of APIs and experience with API testing tools such as Postman - Exposure to test automation tools like Selenium, Playwright, or similar - Basic knowledge of data validation and SQL - Strong analytical and problem-solving skills - Good communication and teamwork abilities Preferred Qualifications - Exposure to AI testing tools and frameworks - Understanding of model evaluation metrics including accuracy, precision, recall, and F1-score - Knowledge of NLP, Computer Vision, or Generative AI systems - Experience with cloud platforms such as AWS, Azure, or GCP - Familiarity with CI/CD pipelines Benefits - Full-time employment with Lenovo's Bangalore engineering team - Opportunity to work on AI-enabled products used by millions of customers across 180 markets - Collaboration with data scientists, developers, and product teams on cutting-edge AI systems - Exposure to enterprise-grade testing tools, cloud platforms, and CI/CD infrastructure - Career growth within a Fortune Global 500 technology company How to Apply 1. Review the requirements and confirm your qualifications match the role. 2. Prepare your resume highlighting your testing experience, programming skills, and any AI/ML exposure. 3. Click the Apply button below to submit your application.