AI/ML Intern

AI/ML Intern – Building & Scaling AI AgentsAbout the Role

We are looking for final-year undergraduate students passionate about Artificial Intelligence to join as AI/ML Interns. You will work on designing, developing, fine-tuning, and scaling AI agents capable of solving real-world tasks across automation, data intelligence, customer interaction, and productivity domains. In addition, you will contribute to Natural Language Processing and Computer Vision initiatives to enhance the intelligence and capability of our AI systems.

Key ResponsibilitiesAI Agents

• Build AI agents using LLM frameworks and APIs (e.g., OpenAI, LangChain, RAG pipelines, agent frameworks)
• Develop capabilities such as reasoning, tool usage, decision-making, and multi-step task automation
• Train, fine-tune, or optimize models for performance, accuracy, latency, and cost
• Work with vector databases, embeddings, and knowledge bases
• Integrate agents into applications via APIs, microservices, or front-end interfaces
• Collaborate with product & engineering teams to translate requirements into deliverables
• Document systems, experiments, results, and best practices

Natural Language Processing (NLP)

• Work on text-based AI capabilities such as:
• chatbots, Q&A systems, summarization, document intelligence, and text insights
• Handle preprocessing, tokenization, dataset preparation, and experimentation
• Build or fine-tune lightweight NLP / LLM models where required
• Support building RAG, knowledge assistants, and domain-specific language applications

Computer Vision / Image AI

• Work on vision-based features such as:
• image classification, detection, OCR, document/image understanding, or multimodal systems
• Use frameworks such as OpenCV, PyTorch/TensorFlow Vision APIs, or pre-trained models
• Assist with dataset creation, labeling, augmentation, and evaluation
• Contribute to integrating vision models into real-world applications

Required Qualifications

• Final-year undergraduate student in Computer Science / AI / Data Science / Electronics / or related field
• Strong understanding of Machine Learning or Deep Learning fundamentals
• Proficiency in Python
• Experience with at least one of the following:
• LLMs (OpenAI, Llama, Claude, etc.)
• ML frameworks (PyTorch / TensorFlow / Scikit-learn)
• Agent frameworks (LangChain / LlamaIndex / AutoGen etc.)
• Experience with Retrieval Augmented Generation (RAG)
• Familiarity with REST APIs and basic backend integration
• Problem-solving mindset with ability to learn fast

Good to Have (Bonus)

• Knowledge of prompt engineering
• Experience with cloud deployment (Docker, Kubernetes, serverless)
• Deploy and scale AI systems on cloud platforms (AWS / GCP / Azure / others)
• Experience working with datasets, data cleaning, and pipelines
• Basic understanding of software engineering best practices (Git, GitHub)
• Exposure to HuggingFace, OpenCV, YOLO, or Vision Transformers
• Prior research projects / hackathons / publications / GitHub portfolio

What You’ll Gain

• Hands-on experience building production-grade AI agents
• Exposure to cutting-edge LLM, NLP & Computer Vision technologies
• Mentorship from AI engineers and product leaders
• Opportunity to convert to a full-time role (performance-based)

Duration & Logistics

• Internship Duration: 3–6 months
• Mode: On-site
• Stipend: ₹10,000 – ₹20,000 (performance based)

How to Apply

Submit:

• Resume
• GitHub / Portfolio / LinkedIn

Contatct: [email protected]

Job Types: Part-time, Internship
Contract length: 6 months

Pay: From ₹10,000.00 per month

Expected hours: 48 per week

Work Location: In person