{"id":4321431,"url":"https://alion.io/job/nexvia-technologies-ai-machine-learning-intern","title":"AI & Machine Learning Intern","company":{"id":4544158,"name":"Nexvia Technologies","domain":"nexviatechnologies.in","url":"https://alion.io/company/nexvia-technologies","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-11-14T20:36:45Z","employer_posted_date":null,"last_verified_at":"2026-11-14T20:36:45Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for motivated AI and Machine Learning Interns who are interested in developing practical machine learning solutions and working on real-world engineering projects.\n\nResponsibilities: \nDevelop and implement machine learning models using Python.\nWork with structured and unstructured datasets.\nPerform data preprocessing, feature engineering, and exploratory data analysis.\nBuild, train, evaluate, and optimize ML models.\nExplore Deep Learning, NLP, and Generative AI applications.\nDevelop AI-powered applications and integrate models with backend services.\nWrite clean, reusable, and maintainable code.\nCollaborate with the engineering team on project development.\n\nRequirements: \nExperience in Python programming.\nKnow about Fundamentals of Machine Learning.\nSkills are NumPy, Pandas, and Scikit-learn.\nBasic knowledge of statistics and data analysis.\nUnderstanding of SQL and databases.\nFamiliarity with Git and GitHub.\nKnowledge of Deep Learning, TensorFlow, or PyTorch is an advantage.\n\nPreferred Skills: \nNatural Language Processing (NLP).\nGenerative AI and Large Language Models (LLMs).\nLangChain or similar AI frameworks.\nFlask or FastAPI.\nDocker and API integration.\n\nEligibility: \nB. 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