25 Ai Testing Jobs

As a Senior QA Engineer at Vanderlande in Pune, India, you will be responsible for ensuring high-quality standards across data pipelines, AI systems, and associated components. Your role involves establishing and maintaining quality benchmarks, developing comprehensive test strategies with a focus on automation, and implementing testing methodologies for AI models and systems. Your proactive approach in identifying and addressing quality issues, along with your ability to work independently and drive initiatives across teams, will be crucial in this role. Your technical expertise should include a strong proficiency in Python, experience with test automation frameworks like BDD Framework Cucumber and Playwright, and familiarity with tools such as Databricks, Spark, SQL, and API testing tools. Additionally, you should have cloud knowledge, particularly in Azure environments, and experience in designing and executing tests for cloud-based systems. Leadership skills are also essential as you will be required to demonstrate leadership in QA roles, collaborate effectively with cross-functional teams, and mentor others on best practices in unit testing and automation. Your communication skills will be valuable in collaborating with diverse teams and your problem-solving abilities will help in identifying and resolving complex quality issues efficiently. Your responsibilities will include taking ownership of quality assurance, developing specialized testing methodologies for AI systems, leading the development and maintenance of automated test scripts, and continuously evaluating and enhancing QA methodologies and tools. You will also be responsible for defect management and reporting, ensuring timely resolution of defects, and providing transparency on quality metrics and testing outcomes. Vanderlande is a market-leading global partner for logistic process automation in various sectors. With a commitment to sustainable growth and a focus on innovation, Vanderlande offers a great work environment with benefits such as flexible workplace options, training facilities, mediclaim coverage, and opportunities for global collaboration. By joining Vanderlande India Global Capability Center, you will have the chance to be a part of a diverse and inclusive workplace that values individuality and fosters personal and professional growth.,

Job Description We are looking for a skilled and proactive AI QA Engineer with strong expertise in testing AI-driven applications, including conversational platforms and chatbots. The ideal candidate will possess a deep understanding of both manual and automated testing processes, as well as scripting capabilities to develop efficient and scalable test suites. Key Responsibilities Comprehensive Test Strategy Development: Design, develop, document, and execute detailed test plans and scenarios for AI chatbots, agents, and tools. Ensure that all outputs are rigorously validated against defined business requirements and AI behavior expectations. Automated Test Scripting: Create and maintain automated test scripts using Python, JavaScript, or Bash for scalable and repeatable testing across various AI functionalities. Defect Identification & Documentation: Identify, report, and document bugs, deviations, and issues with detailed steps to reproduce, including expected vs. actual results. Cross-functional Collaboration: Work closely with development, product management, and AI/data science teams to understand requirements, validate fixes, and provide timely feedback throughout the AI development lifecycle. Continuous Improvement: Stay updated with the latest trends, tools, and best practices in AI testing. Continuously strive to improve testing methodologies and product quality. Performance & Scalability Testing (Optional): Conduct performance, load, and scalability testing on AI models to ensure optimal functionality under various user loads and conditions. Skills & Qualifications Proven AI Testing Experience: Hands-on experience testing AI applications, conversational AI systems, or chatbots. Strong understanding of the unique challenges in AI testing. Proficient Scripting & Automation Skills: Expertise in developing and maintaining automated scripts using Python, JavaScript, or Bash. Analytical Acumen: Ability to interpret complex requirements and translate them into effective test cases. Strong Testing Methodology Knowledge: Solid grasp of manual and automated testing techniques including regression, functional, integration, and user acceptance testing (UAT). Proactive & Independent: Self-motivated individual capable of identifying testing needs, setting priorities, and delivering results independently. Excellent Communication: Strong verbal and written communication skills for effective collaboration and reporting. Mandatory Skills Test Planning, Monitoring & Control

Junior Automation QA with Manual Location : Hyderabad - hybrid Notice Period - 0 to 30 days (Immediate Joiners preferred) At least 3+ years experience in testing Overall 2+ years in python development in the form of test automation or application development. Good experience in Agile,QA standards and processes. Excellent verbal and written Communication skills. Experience with Azure Cloud services and related technologies (e.g., Azure DevOps, Azure Machine Learning). Al Testing: Familiarity with AI/ML concepts and experience in testing Al-based applications is a plus. Please refer to the Company Profile: https://www.maantic.com/ NAMRATA SHARMA Senior Technical Recruiter Email : namrata.sharma@maantic.com Website : https://www.maantic.com/ LinkedIn : https://www.linkedin.com/in/namrata-sharma-968a4119b/

As a Senior AI Business Analyst, you will be responsible for leading discovery workshops and end-user interviews to uncover and document true customer needs. You will collaborate with cross-functional teams to gather, document, and analyze business requirements for AI projects. Your role will involve creating and maintaining key artifacts such as Empathy Maps and Use Personas. Through close business consultation, you will own the clarity and direction of specific analytical investigations, projects, and requests for substantial change while keeping the wider strategy in mind. You will balance an innovative mindset with technical considerations, working with the team to build feasibility prototypes that can be efficiently leveraged for wider scaling and impact. In addition, you will provide business end-user support, training, create training materials, and manage change in relation to understanding and intercepting key principals using a user-centric design approach. You will translate unstructured business problems into workable and valuable solutions, effectively communicating results of complex models to both senior and non-technical stakeholders. Furthermore, you will respond to business requests for ad-hoc analysis and higher analytics, owning the design, development, and maintenance of ongoing analysis to drive intelligent, well-informed business decisions. You will assist in the testing and validation of AI solutions to ensure they meet business needs and specifications. Your role will also involve supporting Product Owners within the business to interpret findings and create a robust and living Solution Backlog presented as User Stories. You will drive AI strategy internationally by providing users across the business with applications, examples, coaching, and KPIs to empower our ability to be agile and customer-centric. To qualify for this position, you should have at least 5 years of relevant experience in Business Analysis with large corporations. A degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related fields is required, and higher education such as a master's or PhD is a plus. Demonstrable experience in methodologies including Design Thinking, Six Sigma, and Human-Centered Design is essential. Proficiency in requirement gathering, documentation, and project management tools is expected. Possessing a CBPP from the ABPMP or similar qualification is highly advantageous. Experience in Life Sciences, Healthcare & Pharmaceuticals is highly advantageous. Proficiency in reading programming languages, specifically Pyspark/Python and/or R, is required, with higher proficiency being advantageous. Advanced modeling skills with experience in building linear dimensional, regression-based, and logistic models are necessary. Experience with Palantir Foundry & AIP is advantageous, and familiarity with agile methodologies is a plus.,

As a Software Quality Assurance Engineer, you will be responsible for ensuring the quality of software products through the implementation of effective testing strategies. Your role will involve utilizing various methodologies and test design techniques to guarantee the reliability and performance of the software. You should have a strong proficiency in scripting or programming languages such as Python or JavaScript, with hands-on experience in automation frameworks like PyTest. Additionally, familiarity with API testing tools like Postman and REST Assured, along with working knowledge of RESTful and GraphQL services, will be essential for this position. Experience with cloud platforms and DevOps workflows, including tools like Docker, Kubernetes, Jenkins, and GitLab CI, will be beneficial. Your strong analytical skills, meticulous attention to detail, and dedication to delivering high-quality software products will be crucial in this role. Excellent communication abilities are necessary as you will collaborate with various teams and stakeholders in fast-paced startup environments. Previous experience in testing applications driven by AI, machine learning, or natural language processing technologies will be an advantage. Moreover, knowledge of virtual assistant architectures, conversational AI systems, or Retrieval-Augmented Generation (RAG) systems will be appreciated. Expertise in performance testing using tools like JMeter or Locust, contributions to open-source QA or automation projects, and possession of certifications such as ISTQB or equivalent will be highly valued. This is a full-time position that requires you to work in person at the designated location. If you are looking for a challenging role where you can contribute to the quality assurance of innovative software products, this opportunity is ideal for you.,

You will be joining InxiteOut Pvt. Ltd., a company specializing in developing cutting-edge AI-powered applications that address real-world business challenges. As a Senior Specialist in the FSD QA department, you will play a crucial role in ensuring the robustness, security, and alignment with user expectations of our AI systems. Your primary responsibilities will include: - Demonstrating a strong understanding of Python. - Configuring and testing AI/ML products/systems. - Leading the quality assurance strategy and establishing automation frameworks from the ground up. - Mentoring and guiding junior QA engineers in test automation and AI system validation. - Conducting functional and non-functional testing across intricate distributed systems. - Overseeing various types of testing such as API, integration, acceptance, system, and end-to-end testing. - Leading test planning, test case design, and execution for web, API, and AI-based systems. - Creating and managing regression test suites to ensure comprehensive coverage. - Collaborating with Full Stack Developers, Data Scientists, and AI Engineers to define test strategies for LLM-based features. - Conducting testing of AI-specific behaviors, including hallucination and factual accuracy, consistency in prompt-response pairs, and retrieval-augmented generation flows. - Collaborating with developers, product owners, and other QA engineers in Agile teams. Key Skills Required: - Extensive experience in Functional Testing, particularly Advanced REST API Testing, Integration, Acceptance, E2E, Smoke, Sanity, and System Testing. - Strong foundation in Non-Functional Testing, including Performance and Load Testing, Stress, and Security Testing. - Proficiency in Testing Methods like Black-box, White-box, Grey-box Testing, and ownership of Regression Testing lifecycle. - Expertise in automation frameworks such as Selenium, Playwright, Cypress, TestNG. - Proficient scripting/coding skills in Python (preferred), Java, or JavaScript. - Familiarity with containerized environments like Docker and Kubernetes. Desired Skills (AI Testing Focus): - Exposure to testing AI/ML products/systems. - Experience in integrating tests into CI/CD pipelines using tools like GitHub Actions, GitLab, Azure DevOps, etc. - Hands-on experience with AI testing tools or custom frameworks. - Familiarity with evaluating LLM outputs and validating RAG-based architecture. - Understanding of hallucination detection metrics and prompt tuning. - Exposure to safety audits for AI applications. - Collaboration experience with Full Stack, Data Science, Data Engineering & DevOps teams. Qualifications: - Bachelors or Masters in Computer Science, Engineering, or related field. - Certifications in testing or security are a plus (e.g., ISTQB, OWASP).,

Roles and Responsibilities Develop test strategies, plans, and cases based on requirements to ensure comprehensive testing coverage. Lead end-to-end testing activities for multiple projects simultaneously, ensuring timely delivery of high-quality results. Collaborate with cross-functional teams to identify defects and implement fixes using Jenkins and GitLab tools. Implement shift left testing techniques to reduce defects at the development stage by working closely with developers. Utilize Test Management Tools (TMT) to track defects, manage defect lifecycle, and maintain accurate records. Experience testing AI/Gen AI business applications. Demonstrate usage of Gen AI in tooling & AI driven insights reporting. Creating/Reusing AI utilities/components for Testing. Desired Candidate Profile 14-18 years of experience in software testing with expertise in functional & non-functional testing methodologies. Proficiency in Test Automation Frameworks like Selenium WebDriver or Appium; knowledge of Test Pyramid principles is an added advantage. Bachelor's degree in Any Specialization (B.Tech/B.E.).

Dexcom Corporation is a pioneer and global leader in continuous glucose monitoring (CGM), aiming to forever change how diabetes is managed by unlocking information and insights that drive better health outcomes. With a vision to empower people to take control of their health, Dexcom is broadening its reach beyond diabetes, providing personalized and actionable insights to address important health challenges. The company's mission is to improve human health by developing solutions for serious health conditions and becoming a leading consumer health technology company. Driven by ambitious and passionate individuals worldwide, Dexcom is committed to earning the trust of its customers through integrity, innovation, and dependability. Having already impacted millions of lives, the company is dedicated to changing millions more. Dexcom's future entails constant reinvention of biosensing-technology experiences to make a global impact on health. As Dexcom continues to expand globally, the India team will play a crucial role in driving innovation and delivering impactful solutions. The company welcomes both experienced professionals and individuals starting their careers to join in their mission to empower people to take control of their health. The Talent Acquisition team at Dexcom is always on the lookout for passionate individuals who want to make a difference. Joining the Dexcom Career Network ensures that you are among the first to hear about new and exciting opportunities as the team grows. Job Responsibilities: - Design and implement automated test frameworks to ensure product quality and expedite release cycles. - Validate intelligent systems and algorithms that enhance user experience and device performance, contributing to AI testing efforts. Please note that this job posting is for talent pipelining purposes. Dexcom's Careers Site is solely for individuals seeking job opportunities at the company, and only authorized staffing and recruiting agencies may use the site to submit profiles, applications, or resumes for specific requisitions. Unsolicited resumes or applications from agencies will not be accepted, and Dexcom is not responsible for any fees related to such submissions.,

At Twin Health, you will be part of a team that empowers individuals to reverse, prevent, and enhance chronic metabolic diseases through innovative technologies. We have developed The Whole Body Digital Twin, a dynamic representation of each individual's unique metabolism, created from a wealth of data points collected daily through non-invasive sensors and individual preferences. This cutting-edge technology sets a new standard of care, enabling both physicians and patients to make informed, personalized decisions based on data. Our team at Twin Health is characterized by passion, talent, and a shared commitment to improving the health and well-being of our members. Our inclusive culture encourages each team member to take initiative, make a meaningful impact for our members, partners, and the company, while also enjoying their work experience. Twin Health has been recognized as the Innovator of the Year by the Employer Health Innovation Roundtable (EHIR) and featured in prestigious lists such as the 2021 CB Insights Digital Health 150 and Built In's 2022 Best Places To Work Awards. With the support of renowned venture capital funds like ICONIQ Growth, Sequoia, and Sofina, we are expanding our services nationally and globally to address the global health crisis related to chronic metabolic diseases. Through strategic partnerships with leading employers like Blackstone and Berkshire Hathaway, we are on a mission to revolutionize healthcare and establish ourselves as the most impactful digital health company worldwide. As part of our team, you will play a crucial role in improving people's health and well-being. Below are the responsibilities and qualifications for the role: Role Responsibilities: - Design and maintain test scenarios and test cases based on functional and non-functional requirements. - Execute test plans, create and manage test data. - Test various aspects of the product, including functionality, system integration, performance, regression, and services. - Monitor and track defects across releases. - Perform horizontal testing across GUI, usability, functional, system, regression, and smoke/sanity areas. - Plan, develop, and execute automation scenarios for web and mobile applications. Skills & Qualifications: - 3-5 years of experience in software testing (Manual + Automation). - Minimum 2 years of hands-on experience with Selenium/Appium for Web, Mobile, and Desktop automation. - Strong scripting skills in Python. - Excellent understanding of QA processes and methodologies. - Strong background in API testing, manual testing, and test data management. - Experience in working independently and delivering projects end-to-end. - Exposure to at least one reporting tool (e.g., Allure, Extent, etc.). - Strong analytical and problem-solving skills. - Excellent verbal and written communication and presentation abilities. - Basic knowledge of SQL and ability to write simple queries. - Familiarity with one test management tool (e.g., TestRail, Zephyr) and one defect management tool (e.g., JIRA, Bugzilla). - Good understanding of STLC and agile testing processes. - Experience in Agile project environments is a must. - Experience in AI testing is a plus. Join us at Twin Health as we strive to transform healthcare and become the leading digital health company globally!,

Job Summary As a Tester AI Application Development at Emerson, you will be responsible for ensuring the quality and reliability of AI-driven applications by testing, verifying, and validating the software through automated and manual testing methods. You will work closely with data scientists, software engineers, and other collaborators to improve the performance and usability of AI applications. In this role, you will: Design and implement detailed test plans and test cases for AI-based applications to ensure the functionality, performance, and security meet the standards and requirements. Develop and implement automated test scripts for AI models, ensuring scalability and efficiency in testing. Work with data engineers to prepare test data for training, validation, and testing of AI models. Conduct functional testing, regression testing, load testing, and performance testing for AI-powered applications. Identify, document, and report defects found during the testing phases, collaborating with the development team to resolve issues. Analyze and validate the performance of machine learning models through testing and ensure that the application meets the encouraged accuracy, precision, and other performance metrics. Contribute to improving the overall QA processes and testing frameworks used for AI development. Maintain detailed documentation of test procedures, test cases, and testing results for accountability and repeatability. Perform exploratory testing to uncover potential issues with AI application features and functionality. Who you are: Cross-functional teammate Detailed, organized, flexible, and proactive teammate Willing to accept feedback and implement changes quickly and with a positive attitude Comfortable working in an Agile development environment Required education, experience & skills: Bachelor's degree and 2+ years of relevant experience or a master's degree and 1+ year of relevant experience Outstanding English writing and verbal communication skills Ability to develop product understanding by working closely with product developers in an Agile development environment Ability to design and organize document structure Curiosity about hands-on installation, configuration and use of the software to further develop product understanding Understanding of accepted technical writing style conventions Experience in writing technical documents Ability to work collaboratively as part of a team Self-motivated and able to work independently Ability to simultaneously handle multiple projects and monitor their progress with minimal direction Excellent time management skills and ability to meet deadlines Strong research skills Legal authorization to work in the United States Preferred education, experience & skills: Bachelor's Degree in Computer Science, Engineering, or a related field. 3+ Years experience in Quality Assurance testing for AI-based applications, machine learning models, or software development Proficiency with automated testing tools e.g., Selenium WHY EMERSON Our Commitment to Our People We invest in our employees to ensure they have the marketplace knowledge, skills and competencies to compete and lead in a global economy. Our training programs focus on end-to-end development from onboarding through senior leadership. Flexible and competitive benefits plans offer you the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k), tuition reimbursement, and more. We provide employees flexible time off plans including paid parental leave (maternal and paternal), vacation and holiday leave. Our success is measured by the positive impact we make on people, our communities and the world in which we live. Learn more about us!

You will be responsible for providing testing services for one or more applications/projects within the Testing Tower. Your activities will include test design, execution, system testing (test planning, design, and execution to ensure end-to-end functionality), integration testing (testing the functionality of modules in an integrated environment), and regression testing (manual/automated testing of existing test scripts to ensure system functionality). You will participate in daily stand-up meetings and defect triage calls, work with third party suppliers for defect management, monitor, measure, control, and report to management on test progress, product quality, test results, and test completion. Additionally, you will provide leadership and guidance to the test team, mentor team members, and manage resources effectively to ensure maximum utilization aligned with plan, budget, and timeframes. As a Hands-on AI Test Lead GxP, you will produce all GxP Testing Artefacts, be AI literate, work with AI Engineers, support business as Subject Matter Expert (SME), communicate with AI Engineers to ensure robust AI testing, and possess prompt engineering skills and understanding. You should have expertise in Prompt Engineering Skills, GenAI Assisted Testing Skills, AI Testing basics, and Software Test Management Skills including test case drafting, documentation, and tools like Jira. About Virtusa: Virtusa values teamwork, quality of life, professional and personal development. As part of a global team of 27,000 people, you will have exciting projects, opportunities, and the chance to work with state-of-the-art technologies throughout your career with us. Our company fosters collaboration, a team-oriented environment, and a dynamic place for great minds to nurture new ideas and achieve excellence.,

You will be responsible for providing testing services for one or more applications/projects within the Testing Tower. Your activities will include test design, execution, system testing, integration testing, and regression testing to ensure end-to-end functionality and system reliability. You will participate in daily stand-up meetings and defect triage calls, working with third-party suppliers for defect management. Monitoring, measuring, controlling, and reporting on test progress, product quality, test results, and test completion will be part of your responsibilities. You will also provide leadership and guidance to the test team, mentoring team members, and supporting their development with training and growth plans. Effective resource management to maximize utilization aligned with the plan, budget, and timeframes is crucial. As a hands-on AI Test Lead with GxP expertise, you will produce all GxP Testing Artefacts and work closely with AI engineers. Your AI literacy will enable you to communicate effectively with them, ask relevant questions, and ensure robust AI testing. Your prompt engineering skills and understanding, along with GenAI Assisted Testing Skills and AI testing basics, will be essential in ensuring software test management through activities such as test case drafting, documentation, and using tools like Jira. Virtusa values teamwork, quality of life, and professional and personal development. As part of a global team of 27,000 professionals, you will have the opportunity to work on exciting projects, leverage state-of-the-art technologies, and grow both personally and professionally. Collaboration, a team-oriented environment, and a culture that fosters excellence are at the core of Virtusa's values, providing a dynamic place to nurture new ideas and achieve great potential.,

Job Summary We are seeking a detail-oriented and technically proficient GenAI Tester to validate and ensure the quality of Generative AI solutions. This role involves testing AI models, APIs, and integrated systems with a focus on Python-based automation, FastAPI endpoints, and advanced GenAI components such as Agentic AI and Vector Databases. Key Responsibilities - Design and execute test plans for GenAI applications and services. - Develop automated test scripts using Python for FastAPI endpoints and AI workflows. - Validate the functionality and performance of Agentic AI systems and Vector DB integrations. - Collaborate with developers and data scientists to understand model behavior and expected outcomes. - Perform regression, integration, and performance testing on GenAI components. - Document test cases, results, and defects with clarity and precision. - Ensure secure and ethical testing practices in alignment with organizational standards. Required Qualifications - Bachelors degree in Computer Science, Engineering, or related field. - 3+ years of experience in software testing, preferably in AI/ML environments. - Proficiency in Python and FastAPI for test automation. - Understanding of Generative AI concepts including Agentic AI and Vector Databases. - Experience with API testing tools and frameworks. - Strong analytical and problem-solving skills. Preferred Qualifications - Experience with MLOps and AI model lifecycle testing. - Knowledge of secure architecture and authentication/authorization mechanisms. - Familiarity with cloud-based testing environments (AWS, Azure, GCP). - Certifications in software testing or AI quality assurance. Why Join Us? Join a forward-thinking team dedicated to building and validating cutting-edge Generative AI solutions. Youll have the opportunity to work with innovative technologies, collaborate with top-tier professionals, and contribute to the development of secure and high-performing AI systems.

Experience 9-13 years Location: Gurgaon/Noida Education: BE/B. Tech./Master of Computer Application Work Experience: Overall 9+ years of quality engineering experience with DWH/ETL for enterprise grade applications Hands on experience with functional, non-functional and automation of products Hands on experience with leverage LLMs/GenAI for improving efficiency & effectiveness of overall delivery process Role & Responsibilities: Leading end-to-end QE for product suite Authoring QE test strategy for a release and executing it for a release Driving quality releases by closely working with development, PMs, DevOps, support and business teams Achieving automation coverage for product suite with good line coverage Manage risks and resolves issues that affect release scope, schedule and quality Work with product teams to understand impacts of branches and code merges, etc. Lead and co-ordinate the release activities including the execution of overall Ability to lead team of SDETs and help them in addressing their issues Mentoring and coaching members in the team Technical Skills: Experience in ETL / BI Testing, using any ETL and Reporting Tool with Oracle / SQL Server / as Database Exposure to Data Warehousing and Dimensional Modelling Concepts Hands-on with coding preferably Python Extensive experience in writing and troubleshooting SQL Queries Ability to achieve good functional coverage of product suite Hands on experience with automation tools (Selenium, TestNg, etc.) Experience with CI/CD tools e.g., Jenkins Experience with tools like JIRA, Confluence, SharePoint, TestRails, Zephyr etc. Experience with performance, volume and stress testing Solid understanding of cloud services platforms e.g., AWS, GCP, Azure etc. Well versed with DBs and SQLs Hand-on experience with GenAI/LLMs/RAGs/Agents Soft Skills: Excellent communication skills. Ability to convey hard/sensitive messages without any apprehensions as well as avoid creating frictions. Ability to navigate through organization independently. About AXTRIA (www.axtria.com) Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Dear Candidate, Interested candidates : Please share your updated resume along with Photo, Pan card and PF member service history. Seasons Greetings! Role: ETL Test Engineer Work Nature - Contract To hire (3rd Party Payroll) Work Location Pan India Total Experience 4+ Yrs Immediate Joiners only Email: tuppari.pradeep@firstmeridianglobal.com Job Description: An ETL Tester is responsible for testing and validating the accuracy and completeness of data being extracted, transformed, and loaded (ETL) from various sources into the target systems. These target systems can be On Cloud or on Premise They work closely with ETL developers, Data engineers, data analysts, and other stakeholders to ensure the quality of data and the reliability of the ETL processes Understand Cloud architecture and design test strategies for data moving in and out of Cloud systems Roles and Responsibilities : 1) Strong in Data warehouse testing - ETL and BI 2) Strong Database Knowledge Oracle/ SQL Server/ Teradata / Snowflake 3) Strong SQL skills with experience in writing complex data validation SQL’s 4) Experience working in Agile environment Experience creating test strategy, release level test plan and test cases 5) Develop and Maintain test data for ETL testing 6) Design and Execute test cases for ETL processes and data integration 7) Good Knowledge of Rally, Jira and HP ALM 8) Experience in Automation testing and data validation using Python 9) Document test results and communicate with stakeholders on the status of ETL testing Interested candidates : Please share your updated resume along with Photo, Pan card and PF member service history to the mentioned email: tuppari.pradeep@firstmeridianglobal.com Element Details Full Name as Per Govt Proofs: Contact Number Alternate Contact Number Email ID Date Of Birth Fathers Name Total Experience Relevant Experience PAN Card Number Current CTC Expected CTC Current Work Location Preferred Location Open for Relocation (Yes/No)- Current Company Name Notice Period Mode of Employment (Contract/Permanent) If Contract, please provide payroll company: Do you know anyone who could be interested in this profile? Feel free to share this email with the person. You might make their day just by forwarding this email. Regards Pradeep tuppari.pradeep@firstmeridianglobal.com

Position : 2 Positions (AI tester & Camera Product manager) 1 ) AI Tester (Marathi and Bengali language preferred) Responsibilities: Multilingual Adaptation Testing: Conduct in-depth localization validation for Marathi/Bengali languages. Identify cultural adaptation issues in UI text, voice interactions, and contextual prompts. Execute end-to-end testing in dialect-specific scenarios (including voice recognition testing). End-to-End Quality Assurance: Design test cases covering India's six major regions (North/South India, etc). Manage defect lifecycles via Jira and drive issue resolution. Perform competitive analysis on competitors. Specialized Testing: Conduct low-network adaptability testing (2G/3G environments). Validate functionality during multi-religious festival scenarios (Diwali, Holi, etc.). Requirements: Bachelor's degree or higher in Computer Science/Information Technology. 2+ years of mobile testing experience (must provide testing case examples). Proficient in ADB commands and mobile testing (Android/iOS). Language proficiency: Native fluency in Marathi (Plus Point)/Hindi/Tamil/Telugu (spoken & written). Professional Indian English (C1 spoken, B2+ Written), Strong localization awareness to align with Indian user preferences. Fast learner, proactive communicator; international team experience is a plus. Preferred Qualifications : Experience testing Indian SaaS products. Background in AI voice assistant testing.AI 2) Camera Product Manager A) PURPOSE OF THE POSITION : The primary responsibility is to: To test Camera effect for HQ projects and track progress on all issues ; To create and update local test cases and standard; To set up test environment. B) DUTIES & RESPONSIBILITIES: Position summary : The individual should be self-motivated, creative and proactive, to work successfully in a fast-paced environment. The individual will work closely with the Image Technology team to execute test iterations, reporting results. The individual should have a strong understanding of professional retouching processes and the vast knowledge of Image Aesthetics. The individual must be able to work without close supervision and deliver within the specified deadline. Major responsibilities: Proficiently in using photo retouching tools (Adobe Photoshop, Adobe Lightroom, or Capture One) to retouch photos professionally. Professional beauty retouch of models using knowledge of image aesthetics. Create several different image effects on photos that will appeal to the model. Keep abreast with new fashion and beauty trends in relation to image retouching. Evaluate retouched photos of the models using questionnaire to find out each user image preferences. C) Skills/ Experience Required: Passion for photography and selfie; accurate cognition of good photos; experience in cell phone testing is a plus; Proficiency in MS office software, passion for photography and selfie; Strong execution and responsibility; Profession background: prior to product experience blogger, photographer, mobile product KOL, and students major in photographer, art, computer programming, etc also meet the requirements.

Role & responsibilities Prior experience in a software testing role Experience of working in Waterfall and Agile engineering teams Experience of API testing & API automation would be added advantages Experience of using manual, Selenium automation tools & creation of automation framework Experience of using Jira and multiple plugins Ability to derive test cases from User Stories and functional specs Passion for self-motivated learning and knowledge sharing Experience in challenging/pushing back and not sacrificing quality Passion for driving new ideas and standards Experience of working with development teams both near and offshore Ability to challenge the status quo and provide new innovative ideas Ability to collaborate and build relationships with stakeholders, product owners and other colleagues

QA Practice Head This role is crucial for driving QE transformation and ensuring the successful adoption of QA to QE Should have overall experience of 18 to 20 years in driving QA transformation to customers Should have good experience in driving next gen QA methodologies like digital assurance, cloud assurance, AI testing etc. Past experience in leading QA practice/business is added advantage Should understand the market trends in QA business and should have lead large QA transformation programs Should have good understanding on test automation and different frameworks that are used as part of automation Should have lead or taken part in multiple large QA transformation programs Should have lead multiple QA consulting engagements for customers. Experience in front ending with customer is critical Should understand various QA methodologies like function, non-functional, automation, performance, Test data management etc Should have worked with senior leadership in customer organization Should have strong communications skills Relevant certifications will be added advantage

Role & responsibilities Key Responsibilities: AI Testing Strategy and Planning Collaborate with cross-functional teams to develop comprehensive AI testing strategies and plans for AI-powered applications. Work closely with product managers, data scientists, and developers to understand AI model requirements, use cases, and project goals. Define the scope and objectives of AI testing efforts, including performance, accuracy, bias detection, and robustness of AI models. Test Execution for AI Models and Algorithms Design, develop, and execute test cases for AI systems and models (including machine learning and deep learning algorithms). Test and validate AI solutions across various stages of the development lifecycle, including model training, testing, and deployment. Ensure that AI models meet business requirements and perform accurately under various real-world conditions. Evaluate the performance of AI models by assessing speed, efficiency, scalability, and resource utilization. Perform manual and automated testing on AI-based applications, platforms, and solutions. AI Model Accuracy and Validation Test AI models for accuracy, precision, recall, F1 score, and other performance metrics. Ensure AI models' fairness by conducting tests for potential bias in decisionmaking processes, especially in clinical or medical applications. Validate AI model predictions against real-world data, ensuring that results are consistent, reliable, and actionable. Also, need to look the test results from a business perspective and help evaluate the balance between risks and benefits. Collaboration and Knowledge Sharing Work with data scientists, AI engineers and Test Manager to improve testing methodologies and continuously optimize AI model testing processes. Provide feedback on AI models, pointing out any potential improvements in testing coverage or areas for model retraining. Communicate findings, bugs, and issues related to AI models to technical teams, ensuring prompt resolution. Help the team set up AI Testing standards, make informed decisions, and build knowledge across projects Help the team in decision-making processes, such as whether to continue or stop investments based on testing results. Test Automation for AI Projects Develop and implement automated testing scripts and frameworks specifically designed for AI applications. Utilize AI testing tools and frameworks (RAGAS etc.) to automate the validation of AI models and algorithms. Integrate automated AI testing within continuous integration and continuous deployment (CI/CD) pipelines. Compliance and Regulatory Testing Ensure that AI applications comply with industry-specific regulations, especially in the pharma and healthcare sectors (e.g., FDA regulations, HIPAA compliance). Verify that all AI-driven processes adhere to ethical standards and data privacy laws. Continuous Improvement and Research Stay up-to-date with the latest trends, tools, and techniques in AI testing and apply these advancements to optimize the testing process. Participate in AI testing forums and workshops, contributing insights to improve best practices within the team. Reporting and Documentation Document test results, methodologies, and issues clearly, providing insights into test coverage, risk analysis, and performance benchmarks. Prepare detailed reports for both technical and non-technical stakeholders, summarizing testing outcomes and potential risks associated with AI implementations. Assist in the creation and maintenance of knowledge-sharing platforms related to AI testing best practices. Key Skills and Qualifications: Technical Expertise Strong knowledge of AI/ML testing methodologies and best practices. Experience with any AI development frameworks and libraries such as TensorFlow, Keras, PyTorch, scikit-learn, RAGAS and MLlib. Experience in testing tools and environments for AI-based systems (e.g., Jupyter Notebooks, Apache Spark, and DataRobot ). Experience with performance testing tools like Grafana K6 and JMeter for AI solutions. Knowledge of Python (Must to have), R, JavaScript or other programming languages frequently used in AI/ML. Knowledge of cloud technologies like Microsoft Azure / AWS. Understanding of test automation frameworks and experience in tools like Cypress , Playwright and Pytest for automating AI tests. AI Model Evaluation Solid understanding of machine learning and deep learning models, including supervised and unsupervised learning techniques. Familiarity with evaluating AI models on metrics such as accuracy, precision, recall, F1 score, confusion matrices, and AUC. Ability to identify and test for model biases, fairness, and ethical implications, especially in sensitive applications like healthcare and pharma. Analytical and Problem-Solving Skills Strong problem-solving abilities and keen attention to detail, with a systematic approach to diagnosing and resolving AI-related issues. Ability to perform root cause analysis of issues in AI algorithms and suggest actionable fixes. Collaboration and Communication Excellent teamwork and communication skills, with the ability to collaborate with cross-functional teams, including data scientists, engineers, and product managers. Strong verbal and written communication skills to convey technical information clearly and concisely to both technical and non-technical stakeholders. Experience Minimum of 8+ years experience in software testing, with at least 2 years focused on testing AI/ML models or AI-based applications. Proven experience in testing AI/ML algorithms in production or staging environments. Experience in testing Visual AI Assistant Applications is good to have. Experience working in a regulated industry (such as pharmaceuticals or healthcare) is a plus. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure) for deploying AI applications and models. Certification in AWS/Azure will be good to have. Familiarity with DevOps practices and integrating AI testing into CI/CD pipelines. Certification in AI/ML or related testing frameworks (e.g. ISTQB AI Tester) This AI Tester role is a unique opportunity to shape the future of AI in the pharmaceutical industry. If youre passionate about AI, testing, and making a difference in healthcare, we encourage you to apply. Preferred candidate profile

Work Experience: Overall 10+ years of quality engineering experience with DWH/ETL for enterprise grade applications Hands on experience with functional, non-functional and automation of products Hands on experience with leverage LLMs/GenAI for improving efficiency & effectiveness of overall delivery process Role & Responsibilities: Leading end-to-end QE for product suite Authoring QE test strategy for a release and executing it for a release Driving quality releases by closely working with development, PMs, DevOps, support and business teams Achieving automation coverage for product suite with good line coverage Manage risks and resolves issues that affect release scope, schedule and quality Work with product teams to understand impacts of branches and code merges, etc. Lead and co-ordinate the release activities including the execution of overall Ability to lead team of SDETs and help them in addressing their issues Mentoring and coaching members in the team Technical Skills: Experience in ETL / BI Testing, using any ETL and Reporting Tool with Oracle / SQL Server / as Database Exposure to Data Warehousing and Dimensional Modelling Concepts Hands-on with coding preferably Python Extensive experience in writing and troubleshooting SQL Queries Ability to achieve good functional coverage of product suite Hands on experience with automation tools (Selenium, TestNg, etc.) Experience with CI/CD tools e.g., Jenkins Experience with tools like JIRA, Confluence, SharePoint, TestRails, Zephyr etc. Experience with performance, volume and stress testing Solid understanding of cloud services platforms e.g., AWS, GCP, Azure etc. Well versed with DBs and SQLs Hand-on experience with GenAI/LLMs/RAGs/Agents Soft Skills: Excellent communication skills. Ability to convey hard/sensitive messages without any apprehensions as well as avoid creating frictions. Ability to navigate thru organization independently.

About the Role We're seeking a skilled Python QA Analyst to join our team focused on AI and agentic systems. In this role, you'll ensure the quality and reliability of our AI products while occasionally supporting agentic development during periods of lower QA workload. Key Responsibilities Design, implement and maintain comprehensive test suites for AI and agentic systems Create automated testing frameworks using Python to validate AI model outputs and behaviors Develop test cases that cover edge scenarios and potential failure modes in AI systems Perform thorough regression testing on new releases and feature updates Validate that AI systems meet functional requirements and performance benchmarks Document bugs with clear reproduction steps and expected behaviors Collaborate with AI engineers to understand model architectures and potential weak points Support the development team in troubleshooting and resolving identified issues Assist with agentic development projects during periods of lower QA workload Requirements Experience in software QA, with a focus on Python Strong Python programming skills and experience with testing frameworks (pytest, unittest) Understanding of AI concepts, machine learning workflows, and LLM evaluation techniques Experience testing complex systems with multiple integrations Familiarity with CI/CD pipelines and test automation Knowledge of version control systems (Git) Experience with bug tracking and project management tools Nice to Have Experience with AI-specific testing methodologies and evaluation metrics Understanding of LLM evaluation techniques (including hallucination detection, bias testing) Background in agentic system development or testing Experience with containerization (Docker) and orchestration tools Knowledge of API testing (Postman, requests) Familiarity with prompt engineering and prompt testing methodologies What You'll Do Develop comprehensive test plans for new AI features and systems Build and maintain automated test suites that validate model outputs against expected benchmarks Create specialized tests for agentic behaviors and decision-making processes Collaborate with cross-functional teams to define quality standards and acceptance criteria Participate in code reviews from a quality assurance perspective Contribute to agentic development projects when QA workload allows Help establish testing best practices for AI and agentic systems This position offers the opportunity to work at the cutting edge of AI quality assurance while developing skills in agentic system development. Join us in building reliable, high-quality AI products that our customers can trust.

The QA Automation Engineer is a key member of the QA Guild and is responsible for managing the automation testing efforts within the team. This role reports to the QA Guild Lead and works closely with other guild members. The team lead will manage, mentor, and support junior QA automation engineers, overseeing test automation practices and frameworks. They will ensure that automation processes are scalable and maintainable. Job Scope Manage the day-to-day activities of the QA automation team, including providing technical guidance, mentoring, and career development opportunities for junior team members. Define, develop, and implement automation testing strategies. Contribute to the QA Guild and developers by sharing knowledge and technical insights. Participate in guild meetings, workshops, and retrospectives to improve automation processes. Provide clear and detailed reports on automation testing progress, coverage, and results to the QA Guild Lead and other stakeholders. Select, maintain, and optimize automation tools, frameworks, and technologies Responsibilities Clear vision for the path forward Lead, motivate, manage, and mentor a team of junior and mid-level QA automation engineers, providing guidance on test automation tools, frameworks, and best practices. Provide regular feedback and help junior team members improve their skills in test automation and QA. Encourage to implementation of new technologies or tools to enhance productivity Integration of AI tools for Automation Testing. Design and implement scalable, efficient, and maintainable automation frameworks using tools. Drive improvements in automation coverage, focusing on critical use cases and integration points. Work with the QA Guild Lead and other team leads to define common goals for automation and ensure consistency across the QA function. Oversee the integration of automated tests into the CI/CD pipeline, ensuring tests are executed regularly in the QAT environment. Monitor the execution of automated tests, track results, and ensure the timely resolution of issues. Report test automation progress, coverage, and outcomes to the QA Guild Lead, providing insights into quality metrics, defects, risks, and test execution success. Continuously assess the automation testing process, identify bottlenecks, and implement process improvements to enhance test coverage, efficiency, and reliability. Collaborate closely with developers and other QA teams to ensure automated tests align with product requirements and development timelines. What we offer : Competitive salary commensurate with experience. Strong results are well rewarded. Ongoing professional development training. Visible, exciting work with cutting-edge solutions. Perks that you will enjoy: Mandatory vacations. Flexible work timings. Working with some of the global business leaders and tech pioneers. Challenging projects to lead and boost your career growth. Work with global teams and clients. No overtime policy. Referral rewards.

Key Skills: Bachelor's degree in computer science, engineering, or a related field; advanced degree preferred. 3+ years of experience in the IT domain, with a focus on Quality Assurance. Experience with Test Planning, Test Case Design, and Defect Reporting. Experience with NLP & Conversation Testing. Experience with LLM-Specific Testing (OpenAI/GPT/RAG). Experience with Automation Skills (Good to Have/Additional Skills). Experience with RAGAS or LangSmith for response quality scoring. Experience with Performance testing using JMeter. Experience with automation scripting (Python preferred for GenAI validation, Java for Selenium UI). Skills in observability tools, log tracing.

Experience 10-15 years Location: Gurgaon/Noida Education: BE/B. Tech./Master of Computer Application Work Experience: Overall 10+ years of quality engineering experience with DWH/ETL for enterprise grade applications Hands on experience with functional, non-functional and automation of products Hands on experience with leverage LLMs/GenAI for improving efficiency & effectiveness of overall delivery process Role & Responsibilities: Leading end-to-end QE for product suite Authoring QE test strategy for a release and executing it for a release Driving quality releases by closely working with development, PMs, DevOps, support and business teams Achieving automation coverage for product suite with good line coverage Manage risks and resolves issues that affect release scope, schedule and quality Work with product teams to understand impacts of branches and code merges, etc. Lead and co-ordinate the release activities including the execution of overall Ability to lead team of SDETs and help them in addressing their issues Mentoring and coaching members in the team Technical Skills: Experience in ETL / BI Testing, using any ETL and Reporting Tool with Oracle / SQL Server / as Database Exposure to Data Warehousing and Dimensional Modelling Concepts Hands-on with coding preferably Python Extensive experience in writing and troubleshooting SQL Queries Ability to achieve good functional coverage of product suite Hands on experience with automation tools (Selenium, TestNg, etc.) Experience with CI/CD tools e.g., Jenkins Experience with tools like JIRA, Confluence, SharePoint, TestRails, Zephyr etc. Experience with performance, volume and stress testing Solid understanding of cloud services platforms e.g., AWS, GCP, Azure etc. Well versed with DBs and SQLs Hand-on experience with GenAI/LLMs/RAGs/Agents Soft Skills: Excellent communication skills. Ability to convey hard/sensitive messages without any apprehensions as well as avoid creating frictions. Ability to navigate through organization independently. About AXTRIA (www.axtria.com) Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Job Description: Minimum experience: At least 4 years of experience in software quality assurance, with a focus on AI solutions.. Must have hands-on: Deep understanding of LLM behaviour including hallucinations, bias, edge-case handling Experience prompt engineering to design adversarial and robustness test cases Conduct photo validation and recognition tests to ensure accuracy in AI-driven quality audits. Able to integrate LLM-focused test suites into CI/CD pipelines (Azure DevOps, GitHub Actions) Experience in LLM test case generation, RAG evaluation, and use of guardrails for secure, explainable testing Strong background in data pipeline testing, ensuring input/output integrity of training and retrieval systems Expertise in managing test data, generating synthetic data, and auditing data coverage Document defects clearly and support triage with engineering tea