7 Ai Testing Jobs

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.