Intern - SwDev-2

At H\&P, our people are our strength.

Job Description: AI/ML Intern

• **Location:*** *Goa/Noida*

• **Experience:*** *0–2 years*

• **Department:*** *AI/ML Engineering*

About the Role

We are looking for a passionate **AI/ML Intern**to join our team and contribute to building next\-generation AI applications. You will work on **machine learning models, Generative AI systems, RAG (Retrieval\-Augmented Generation) pipelines, and Agentic AI frameworks**, leveraging cloud platforms such as **Azure AI** (or similar) to develop scalable, production\-ready solutions.

This role is ideal for someone who has hands\-on experience in **Python, AI/ML frameworks, and modern GenAI techniques** and is excited about applying them to solve real\-world business problems.

Key Responsibilities

• Design, build, and deploy **AI/ML models** for classification, prediction, and optimization tasks.
• Develop and implement **GenAI solutions** (LLMs, prompt engineering, fine\-tuning, embeddings).
• Build **RAG pipelines** integrating vector databases, knowledge graphs, and LLMs.
• Implement **Agentic AI workflows** for automation, reasoning, and multi\-step task execution.
• Work with **Azure AI services (OpenAI, Cognitive Search, ML Studio, Data Factory)** or similar platforms (AWS Sagemaker, GCP Vertex AI).
• Optimize ML pipelines for **scalability, performance, and cost efficiency** in cloud and edge environments.
• Collaborate with cross\-functional teams (data engineers, domain experts, product managers).
• Stay updated with the latest **AI/ML/GenAI research and tools** and integrate best practices.

Required Skills \& Qualifications

• **Education**: B.E./B.Tech/M.Tech in Computer Science, AI/ML, Data Science, or related field.
• **Experience**: 0–2 years in AI/ML development.
• **Programming**: Strong in **Python** (NumPy, Pandas, PyTorch/TensorFlow, LangChain, Transformers).
• **ML/AI**: Model training, fine\-tuning, evaluation, deployment.
• **GenAI**: Experience with LLMs (OpenAI, LLaMA, Mistral, etc.), embeddings, and prompt design.
• **RAG Systems**: Knowledge of vector databases (Pinecone, FAISS, Weaviate, Milvus).
• **Agentic AI**: Familiarity with AI agents (LangChain Agents, AutoGen, CrewAI, Semantic Kernel).
• **Cloud**: Hands\-on with **Azure AI** (preferred) or AWS/GCP AI services.
• **MLOps**: Model versioning, CI/CD, deployment using MLflow/Docker/Kubernetes.
• Strong problem\-solving, analytical, and debugging skills.

Good to Have

• Knowledge of **NLP, Computer Vision, or Multi\-modal AI**.
• Experience with **knowledge graphs or graph databases**.
• Exposure to **edge AI deployments**.
• Contributions to open\-source AI/ML projects.

Thank you for your interest in joining our team!