AI / ML Product Engineer Intern (NLP, LLM, Product) — AVK Tech · Hyderabad

About the role

AI / ML Product Engineer Internship at AVK Tech in Hyderabad — develop and deploy AI / ML-based products, NLP and LLM applications alongside the engineering team. Great for freshers who want production AI-product skills, not just model notebooks. Hybrid, flexible timing.

About this internship at AVK Tech. AI / ML Product Engineer Internship at AVK Tech in Hyderabad — develop and deploy AI / ML-based products, NLP and LLM applications alongside the engineering team. Great for freshers who want production AI-product skills, not just model notebooks. Hybrid, flexible timing. This listing on cloudsoftsol.com is curated for students and freshers in India who are actively looking for AI / ML, Data Science and software internships in Hyderabad. The role is an internship, hybrid, and is open to final-year students and recent graduates — initiative and a real project portfolio matter more than years of experience. Read the responsibilities and requirements below carefully and tailor your application to the specifics; a single, well-explained project beats a long list of course names. Cloud Soft Solutions runs the leading AI, Data Science, Python, AWS, Azure, GCP and DevOps training and placement programmes in Hyderabad and Bangalore — if you would like coaching for AI / ML internships and fresher roles, mock interviews, resume review or portfolio help, please contact us at info@cloudsoftsol.com. We do not charge candidates a fee for placement assistance; companies sponsor our involvement.

Responsibilities

Assist in AI product development end to end — model integration, building data-driven features, and deploying ML into a real product rather than stopping at a trained model. Work on NLP and LLM projects: prompt design, retrieval, evaluation, and wiring language models into product features that users actually interact with. Collaborate on full-stack AI solutions with the engineering team — understanding how the model, the API, and the frontend fit together. Test and optimise ML models for real applications — latency, cost, and quality trade-offs in production, not just offline accuracy. Contribute to documentation and iterate quickly on feedback in a product-focused environment.

Requirements & qualifications

Pursuing a degree in Computer Science, Data Science or a related field; freshers are encouraged. Working Python and familiarity with basic ML frameworks. Interest in NLP / LLMs and in how AI becomes a shipped product (APIs, integration, deployment) rather than only model training. Curiosity, ownership, and the ability to learn quickly in a hands-on setting. Any personal AI projects — chatbots, RAG apps, fine-tunes, small deployed demos — strengthen the application significantly.

Why this role in 2026

Product companies in 2026 are hiring AI engineers who can ship, not just model — and that production-AI-product skill set is exactly what's scarce among freshers. This internship builds it directly: you integrate and deploy NLP / LLM features into a live product, learn the full-stack reality of AI engineering, and come out with the kind of demonstrable, deployed work that fresher AI-engineering roles increasingly demand.

Application tips

Submit your resume via the AVK Tech link or email careers@avktechinc.com, and include any personal AI projects — especially anything deployed (a hosted demo, a chatbot, a RAG app). Mention "AI/ML Product Engineer Intern — Hyderabad" in the subject. A short description of one project you took from idea to a running app is the single strongest signal.

Interview preparation

Expect a screening step and a technical conversation on Python, ML / NLP fundamentals (tokenisation, embeddings, what an LLM does well and badly), a small practical task, and a deep-dive on your own projects. Be ready to discuss how you would integrate and evaluate an LLM feature in a product, including cost and latency.

Career growth

Path: AI / ML Product Engineer Intern → Junior AI Engineer / ML Product Engineer → AI Engineer → Senior. Production AI-product experience is among the most marketable fresher trajectories in 2026's product-company hiring.

Company & benefits

Practical, production-focused AI-product experience (NLP / LLM integration and deployment), flexible timing, hybrid Hyderabad setup, and a strong foundation for 2026 fresher AI-engineering roles. (Stipend / terms confirmed by the company at offer.)