{"id":4241171,"url":"https://alion.io/job/nielseniq-software-engineer-python-and-aiml-development","title":"Software Engineer, Python and AI/ML Development","company":{"id":9378,"name":"NielsenIQ","domain":"nielseniq.com","url":"https://alion.io/company/nielseniq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":22,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Asyncio","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Function Calling","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"OWASP","optional":false},{"name":"Pandas","optional":false},{"name":"Postman","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-13T11:52:39Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:10:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.\nFor more information, visit NIQ.com\n We are seeking a Software Engineer with solid technical depth to build, deploy, and operate Python services and machine learning components, working with Python, NumPy, Pandas, FastAPI/Flask, LLM frameworks, and Azure.\nResponsibilities:\nDesign and develop maintainable, modular Python components and services that follow SOLID and equivalent principles\nBuild, train, evaluate, and productionalize ML models and AI components (classical ML, NLP, and LLM based features) in collaboration with product and architecture teams\nDevelop LLM powered capabilities such as prompt pipelines, retrieval augmented generation (RAG), embeddings, and tool or function calling using frameworks like LangChain or LlamaIndex\nBuild data processing and feature engineering pipelines using NumPy, Pandas, and SQL\nDesign, build, and consume REST APIs with FastAPI and Flask to serve models and AI capabilities\nApply concurrency, asynchronous programming (asyncio), and batching techniques to improve inference and service throughput\nTrack experiments, version models and datasets, and support model deployment using MLflow or equivalent MLOps tooling\nMonitor models and AI services in production for latency, cost, drift, and output quality, and act on findings\nSolve technical problems by analyzing possible solutions and their impact on the function and the business\nProvide informal guidance to new and junior team members through code reviews and pairing\nUnderstand how the team's work integrates with closely related teams and account for interdependencies\nWrite and execute unit tests using pytest and mocking libraries; perform API integration testing and basic model validation testing\nImplement CI/CD pipelines to build and deploy applications and maintain a high level of quality maturity in pipeline quality gates\nImplement security best practices (input validation, authentication, authorization, secrets handling, OWASP guidelines) and responsible AI practices such as prompt injection awareness and data privacy\nDeploy and operate applications on Azure using Docker and Kubernetes\nCollaborate with cross functional teams to define, design, and ship new features\nTroubleshoot and resolve issues in development, test, and production environments\nExplain technical, sometimes complex and dynamic concepts clearly to others\n 3.5+ years of strong working experience in Python development, including at least 1.5 years building ML or AI enabled applications\nSolid experience with NumPy, Pandas, and scikit learn for data oriented services and model development\nWorking experience with a deep learning framework such as PyTorch or TensorFlow\nHands on experience with LLM APIs (Azure OpenAI or similar), prompt engineering, embeddings, and vector databases\nStrong experience in designing, building, and consuming REST APIs; experience building and operating FastAPI or Flask services\nStrong experience with common software design patterns (for example Adapter, Strategy, Factory)\nGood experience using AI assisted tools in the SDLC\nExperience with code execution best practices (memory footprint, profiling) and database query analysis (explain plan, statistics)\nWorking knowledge of RDBMS and NoSQL stores; hands on experience in messaging and queuing\nProficiency in pytest; experience with API integration testing using Postman\nExperience with quality gates and security tools integration in CI/CD processes\nHands on experience with Docker, Kubernetes, and Azure cloud services\nExcellent problem solving skills and attention to detail\nStrong communication and teamwork skills\nFamiliarity with Agile development methodologies\n Our Benefits\nFlexible working environment\nVolunteer time off\nLinkedIn Learning\nEmployee-Assistance-Program (EAP)\nNIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/\nAbout NIQ\nNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.\nFor more information, visit NIQ.com\nWant to keep up with our latest updates?\nFollow us on: LinkedIn | Instagram | Twitter | Facebook\nOur commitment to Diversity, Equity, and Inclusion\nAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. 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