AI / ML Internship (Computer Vision, LLM, RAG, Agentic AI) — SmartinfoLogiks · Hyderabad

Cloud Soft Solutions; Hyderabad; Hybrid; INR 167,000 - 279,000; Full time

Benefits offered by this job

Internship certificate

Recommendation letter

Hybrid options in Hyderabad

Job summary

SmartinfoLogiks in Hyderabad invites freshers and final-year students for a hands-on AI/ML internship. You will work on vision models, multimodal learning, RAG pipelines, and agentic AI using Python and PyTorch/TensorFlow.

Freshers are welcome; initiative matters most. Hybrid work setup in Hyderabad with mentorship, portfolio projects, internship certificate and a recommendation letter upon completion.

Qualifications

• Pursuing or recently completed degree in CS, AI, DS or related field.
• Freshers and final-year students welcome.
• Experience with Python and core ML concepts, plus exposure to PyTorch or TensorFlow.

Responsibilities

• Work on production-adjacent AI projects: agents, vision models, end-to-end features.
• Contribute to data collection, training, evaluation, and deployment pipelines in Python with PyTorch/TF.
• Experiment with multimodal systems (text + image + structured data) and Retrieval-Augmented Generation (RAG) — building and tuning vector stores, retrievers, prompt templates and evaluation harnesses.
• Help design agentic AI workflows — tool-using agents, planning loops and guardrails — and measure their reliability on real tasks.
• Participate in engineering rituals: sprint planning, daily standups, code review, and clear technical documentation.
• Collaborate on end-to-end AI solutions from ideation through testing, learning how production AI is shipped and monitored.

Skills

Python

PyTorch

TensorFlow

Git

ML concepts

Education

Bachelors/Equivalent in CS/DS

Tools

Kaggle

Job description

Hands-on AI / ML Internship at SmartinfoLogiks in Hyderabad for freshers and final-year students — project-driven work on computer vision, multimodal learning, agentic AI and RAG pipelines with Python and PyTorch / TensorFlow. No prior experience required; initiative matters most. Hybrid Hyderabad.

Responsibilities

• Work directly with ML / AI Engineers on production-adjacent projects — building AI agents, vision models and end-to-end AI features that real users touch, not throwaway toy notebooks.
• Contribute to the full model workflow: data collection and preprocessing, training and fine-tuning of LLMs and vision models, evaluation, and deployment pipelines, primarily in Python with PyTorch and / or TensorFlow.
• Experiment with multimodal systems (text + image + structured data) and Retrieval-Augmented Generation (RAG) — building and tuning vector stores, retrievers, prompt templates and evaluation harnesses.
• Help design and prototype agentic AI workflows — tool-using agents, planning loops and guardrails — and measure their reliability on real tasks.
• Participate fully in engineering rituals: sprint planning, daily standups, code review, and clear technical documentation of what you built and why.
• Collaborate on end-to-end AI solutions from ideation through testing, learning how production AI is actually shipped and monitored.

Requirements

• Pursuing or recently completed a degree in Computer Science, AI, Data Science or a related field.
• Freshers and final-year students are welcome.
• Strong curiosity, logical thinking and a genuine willingness to learn fast — initiative is weighted more heavily than a long CV.
• Basic working knowledge of Python and core ML concepts (supervised learning, train / validation splits, overfitting, evaluation metrics).
• Exposure to PyTorch or TensorFlow, or a clear track record of self-learning (personal projects, Kaggle, coursework) that shows you can pick them up quickly.
• Familiarity with Git and collaborative development is a plus.
• No prior professional experience required — a portfolio of small, real AI projects matters most.

Why this role in 2026

AI / ML is the highest-demand fresher track in 2026, but the gap between coursework and a hireable portfolio is real. This internship closes that gap: you ship genuinely modern work — computer vision, RAG, multimodal and agentic AI — under the mentorship of working ML engineers, and you walk away with portfolio projects, a certificate, a recommendation letter and a credible shot at a full-time conversion. Interns who finish with deployed, demonstrable projects routinely command stronger fresher packages (roughly ₹4-12 LPA post-internship for strong candidates) than peers with only certificates.

Company & benefits

Structured mentorship from ML / AI engineers, real portfolio projects, an internship certificate and a recommendation letter, and a genuine path to full-time conversion. Hybrid options in Hyderabad. (Stipend / terms confirmed by the company at offer.)