About V7 AI Solutions LLP

At V7 AI Solutions LLP, we are passionate about building AI that understands, learns, and acts on real-world problems responsibly. Our mission is to unlock the full potential of artificial intelligence—intelligent, adaptive, autonomous, and ethical—while creating solutions that transform industries, empower organizations, and improve human lives.

We operate at the forefront of technology, combining innovation, rigorous engineering, and ethical principles to build AI systems that are not only powerful but also trustworthy and human-centered. Every product we develop is designed to deliver actionable insights, solve complex challenges, and make a meaningful impact, whether in education, industry, or society at large.

At V7 AI, you’ll be part of a dynamic, fast-growing environment where curiosity, creativity, and collaboration are highly valued. Working five days a week from our Bengaluru office (9:30 AM – 7:00 PM) allows our team to learn from each other, brainstorm ideas in real-time, and build products faster and smarter.

About the Role

We are looking for a driven and curious AIML Intern to join our engineering team and contribute to the design, development, and deployment of real AI systems across our active product portfolio. This is not a passive learning role, you will work on live products, build things that matter, and be expected to take ownership of your work from Day 1.

You will work across the full AI/ML stack, from RAG pipelines and LLM integrations to deep learning models and computer vision systems, contributing to solutions that power our healthcare, skills training, enterprise intelligence, and industrial automation products.

Key Responsibilities

- Build and maintain RAG pipelines - document ingestion, chunking, embedding, retrieval, and LLM response generation
- Develop agentic AI workflows involving multi-step reasoning, tool use, and self-correction loops




- Integrate and evaluate LLM APIs for real product use cases including prompt engineering, structured output design, and hallucination control
- Work with vector databases to store, index, and retrieve embeddings at scale
- Design, train, and evaluate deep learning models - CNNs, RNNs, LSTMs, and Transformer-based architectures, for classification, detection, and generation tasks
- Apply computer vision techniques including image classification, object detection, segmentation, and real-time video processing using OpenCV and YOLO
- Implement and evaluate classical ML models like regression, classification, clustering, and anomaly detection, using Scikit-learn and related libraries
- Run structured experiments, measure model and retrieval performance, and iterate based on evaluation metrics
- Integrate AI/ML models into backend APIs and product-facing workflows via FastAPI
- Research and evaluate new AI tools, models, and architectures and present findings to the team with clear recommendations
- Document architecture decisions, experiment results, prompt designs, and model evaluations thoroughly

Required Skills & Qualifications

- Currently pursuing or recently completed a B.E. / B.Tech / M.Tech in Computer Science, Electronics and Communication, or a related field
- Strong proficiency in Python, the primary language for all AI/ML work
- Solid understanding of machine learning fundamentals like supervised, unsupervised, and reinforcement learning
- Knowledge of deep learning concepts: Neural networks, CNNs, RNNs, LSTMs, and Transformers




- Familiarity with LLMs: how they work, context windows, tokenisation, temperature, and prompt engineering
- Understanding of RAG: retrieval-augmented generation, chunking strategies, embedding models, and vector search
- Hands-on experience with at least one deep learning framework, example : PyTorch or TensorFlow
- Familiarity with computer vision libraries like OpenCV, YOLO, or equivalent
- Understanding of embeddings and semantic similarity, cosine similarity, vector databases (ChromaDB, FAISS, Pinecone)
- Knowledge of core ML evaluation metrics - precision, recall, F1 score, AUC-ROC, and retrieval metrics
- Familiarity with REST APIs, Git, and team-oriented development workflows
- Strong problem-solving mindset and the ability to research and learn independently

Preferred Skills & Experience

- Hands-on experience with LLM APIs — Gemini, Groq, OpenAI, or OpenRouter
- Exposure to agentic AI frameworks — LangChain, LangGraph, or n8n
- Experience with FastAPI or Flask for model serving and API development
- Academic or personal projects involving NLP, generative AI, computer vision, or multimodal models
- Knowledge of fine-tuning techniques — LoRA, QLoRA, or PEFT
- Familiarity with MLOps concepts — experiment tracking, model versioning, deployment pipelines

Why Join Us

- Work on high-impact products with real-world users in B2B and B2C contexts
- Collaborate with a dynamic team of engineers, product managers, and AI specialists
- Gain hands-on experience with user-centered design, AI interfaces, and product thinking
- Contribute to solutions that improve usability, workflows, and user experiences
- Enjoy a culture that values creativity, mentorship, and collaboration in a high-energy office environment

Pay: ₹5,000.00 - ₹5,001.00 per month

Benefits:

- Food provided

Work Location: In person

📌 AI/ML Intern (Malleshwara)
🏢 V7 AI Solutions
📍 Malleshwara