{"id":2672496,"url":"https://alion.io/job/ntt-data-senior-qaqc-data-analyst-with-aiml-testing","title":"Senior QA/QC Data Analyst with AI/ML testing","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Angular","optional":false},{"name":"Azure","optional":false},{"name":"Bootstrap","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Great Expectations","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Postman","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"SharePoint","optional":false},{"name":"SQL","optional":false},{"name":"Swagger","optional":false},{"name":"Waterfall","optional":false},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-26T00:00:00Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-17T12:55:39Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Req ID: 381528\nNTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\nWe are currently seeking a Senior QA/QC Data Analyst with AI/ML testing to join our team in Bangalore, Karnātaka (IN-KA), India (IN).\nThe following are the key responsibilities for this position:\nTake responsibility for the project and work independently in a collaborative environment.\nEvaluate data across various dimensions, including accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.\nEstablish quality criteria for data accuracy, completeness, consistency, validity, and AI model performance.\nTest data ingestion, transformation (ETL/ELT), and outputs to ensure source-to-target integrity.\nVerify that datasets used for AI/ML are accurate, representative, unbiased, and fit for purpose.\nValidate model metrics against defined business and technical thresholds, including accuracy, precision, recall, and stability.\nIdentify and assess bias, fairness issues, and unintended impacts in data and AI model outcomes.\nImplement automated tests for data validation, model regression, and pipeline checks within CI/CD and MLOps workflows.\nLog, prioritize, and track data and AI defects; perform root cause analysis and corrective actions.\nValidate adherence to data governance, privacy, security, and AI regulatory requirements.\nTrack data drift, model drift, anomalies, and performance degradation post-deployment.\nCommunicate quality status, risks, and recommendations clearly to stakeholders before and after releases.\nDesign and develop testing plans, test cases, and test scripts to evaluate data quality.\nIdentify, document, and report defects, inconsistencies, and inaccuracies.\nMaintain and update testing documentation and report on test outcomes. Document key data processes and transformations.\nAssist with quality improvement initiatives and recommend improvements to data quality processes and procedures.\nAssist developers, business stakeholders, and data governance teams in meeting data quality standards.\nKnowledge of the Agile/Waterfall approach and how quality assurance fits into it.\nCreate automated testing solutions from scratch.\nDevelop testing scenarios by analyzing feature requirements for the purpose of estimating testing effort. Track defects, analyze and communicate test results, and engage in daily QA activities. Skills and Abilities:\nAbility to take ownership of the project and work independently in a team environment.\nAbility to analyze problems, perform root cause analysis, and develop solutions is essential for resolving data issues.\nProficient in PyTest/unit test frameworks used for ML testing & automation\nKnowledge of programming languages such as C#, Python, or R for data process automation and analysis.\nProficient in automated test suite development for ML models\nWorking knowledge of ML-specific API testing (e.g., inference endpoints)\nWorking knowledge of automated metrics validation for model outputs\nExpertise in the principles and testing procedures.\nWorking knowledge of data validation frameworks such as Great Expectations\nWorking knowledge of ML-oriented data pipeline tools .\nWorking knowledge of validation for massive, ML-ready datasets\nProficient in ML-specific QA strategy (model tests, feature tests, data contracts, drift tests).\nWorking knowledge of CI/CD integration for ML (MLOps).\nProficient in model-centric regression testing.\nProficient in testing lineage, reproducibility, and experiment tracking.\nProficient in developing and maintaining test plans, test scenarios, test cases, test defect tracking, summary reporting, and test scripts to perform thorough testing and validate the data, based on business requirements.\nFamiliarity with Extract, Transform, Load (ETL) tools to move and transform data.\nWorking knowledge of AI governance framework, ethical AI & compliance, bias monitoring policies, and model traceability requirements\nWorking knowledge of debugging tools (Fiddler).\nProficiency with version control practices using Git, including branching, collaboration, reviewing pull requests, and resolving merge conflicts.\nKnowledge of build servers. (Azure CICD Pipeline, Jenkins, and Cruise Control).\nWorking knowledge of source control systems (DevOps, GitHub, SVN, or TFS).\nWorking experience in release management and bug tracking tools (e.g., Zephyr, etc.).\nKnowledge of HTML5, CSS, JavaScript, Angular Bootstrap, SQL, SharePoint, JSON, or XML objects.\nKnowledge of API testing using Postman and Swagger UI.\nKnowledge of Azure cloud infrastructure and its capabilities.\nStrong verbal and written communication skills are needed to explain findings to both technical and non-technical stakeholders.\nA willingness to learn new tools and adapt to evolving technologies is important for long-term career growth. Minimum Qualifications:\nBachelor’s degree in computer science, information systems, information technology, software engineering, computer engineering, or a related discipline.\n5 years of related work experience.\nEquivalent additional directly related experience will be considered in lieu of a college degree. Preferred Qualification:\nISTQB or equivalent certification preferred\nAbout NTT DATA\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.","description_format":"text","description_chars":7837,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Centers & Colocation","Financial Software & Embedded Finance","IT Consulting & Digital Transformation","Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-10-16T04:22:20Z"}],"visa":[],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":1,"p_active":0.521,"p_room":0.75,"age_days":21,"expected_fill_days":22,"reasons":["conf:3","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/ntt-data-senior-qaqc-data-analyst-with-aiml-testing","json_url":"https://alion.io/job/ntt-data-senior-qaqc-data-analyst-with-aiml-testing.json","meta":{"generated_at":"2026-10-17T15:33:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21097,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":50348},"rest":"https://alion.io/mcp/rest/get_company?id=50348"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fntt-data-senior-qaqc-data-analyst-with-aiml-testing"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fntt-data-senior-qaqc-data-analyst-with-aiml-testing"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fntt-data-senior-qaqc-data-analyst-with-aiml-testing"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ntt-data-senior-qaqc-data-analyst-with-aiml-testing\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-senior-qaqc-data-analyst-with-aiml-testing"}]}