AI/ML Intern

Department Icon Data Science Analytics & Machine Learning
Posted: 11 hours ago
0-1 years
Lucknow, Uttar Pradesh, India
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 13 Dec 2026

Posted: 11 hours ago
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Job Description

Build practical AI features — chatbots, retrieval (RAG), document automation — on top of models like Claude and GPT, and ship them into real products rather than notebooks. This is a full-time internship (48 hours a week, Monday to Saturday), remote or in Lucknow.What you'll doPrototype and ship LLM features: prompts, tool use, structured output, evaluationBuild retrieval pipelines (chunking, embeddings, pgvector) over real documentsMeasure quality: build small eval sets, compare prompts and models, track cost and latencyIntegrate AI features into Django/Next.js apps with proper error handling and fallbacksDocument what works and what doesn't, so the team can reuse itWhat you'll getA paid monthly stipendReal work on live products (alokknight.com, SmartLandlord) and on client projects — not practice tasksDirect mentorship from the founder, a senior engineer who built and runs a SaaS live in 7 European marketsInternship certificate and a letter of recommendation on successful completionA full-time offer for the strongest performersFull-time internship, 48 hours a week, Monday to Saturday, for 3–6 months — remote or from our Lucknow office. Treat it as a real job: you own real deliverables with real deadlinesHow we hireApply with your CV and the links asked for belowA short practical task (a few hours, in your own time)A 30-minute video call with the founderOffer and start date — usually within a week of the callStrong Python; comfortable with HTTP APIs and JSONPractical understanding of how LLMs work: context windows, tokens, prompting, embeddingsA small AI project of your own we can look at — GitHub or demo linkHonest about limitations — we ship things that work, not demosAvailable full-time for 3–6 months: 48 hours a week, Monday to SaturdayNice to haveExperience with the Anthropic/OpenAI APIs, LangChain or LlamaIndexVector databasesFastAPI or DjangoBasic ML with scikit-learn or PyTorch

Skills

PythonNext.jsDjangoPyTorchScikit-learnLangChainLLMRAGGitHub

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