Medical Services/Hospital Full-Time Job ID: DGC01257

Hyderabad, Telangana 0-1 Yrs ₹1.8 - ₹300000 Yearly

Location: Remote / Onsite / Hybrid

Duration: 3–6 Months

Internship Type: Full-time / Part-time

Job Overview

We are looking for an AI / ML Intern who is eager to learn how machine learning models are built, trained, evaluated, and deployed in real-world products. This role is ideal for students or fresh graduates who want hands-on exposure to ML fundamentals, deep learning, NLP, and GenAI workflows. No prior industry experience is required — we value curiosity, consistency, and a strong willingness to learn.

Key Responsibilities

- Assist in data cleaning, preprocessing, and exploratory data analysis (EDA).
- Support model training and evaluation using Scikit-learn / TensorFlow / PyTorch.
- Work on basic NLP tasks using HuggingFace Transformers and prompt engineering.
- Help build simple GenAI workflows using LLM APIs and LangChain.
- Contribute to vector search / retrieval (FAISS / Pinecone / Weaviate / MongoDB Vector Search).
- Develop lightweight APIs for model inference using FastAPI / Flask.
- Document experiments, results, and learnings in Jupyter notebooks.

Required Skills (Must Have)

- Basic proficiency in Python for data handling and ML experimentation.
- Understanding of ML fundamentals (training, validation, metrics, overfitting).




- Hands-on familiarity with at least one ML/DL framework (Scikit-learn / TensorFlow / PyTorch).
- Comfortable with Pandas, NumPy, and Jupyter notebooks.
- Basic knowledge of APIs (REST) and how models are consumed in applications.
- Strong problem-solving mindset and willingness to learn.

Preferred Skills (Valuable to Have)

- Exposure to NLP or GenAI tools (HuggingFace, LLM APIs, LangChain).
- Understanding of vector databases / semantic search (FAISS, Pinecone, Weaviate, MongoDB Vector Search).
- Basic experience with FastAPI / Flask or Node.js for integration.
- Familiarity with Git, Docker, and simple MLOps concepts (MLflow, DVC).
- Any cloud exposure (AWS / SageMaker is a plus).

Qualifications

- Pursuing or recently completed B.E / B.Tech / MCA / M.Tech / BCA / B.Sc (CS/IT) or related field.
- Final-year students and freshers are welcome.
- Ability to commit consistently for the internship duration.

What You Will Learn

- End-to-end ML workflow: data model evaluation deployment.
- Deep learning basics and practical experimentation with TensorFlow / PyTorch.
- NLP & GenAI workflows using Transformers, prompt engineering, and LLM APIs.
- Retrieval-Augmented Generation (RAG) fundamentals with vector search.
- Serving models with FastAPI and integrating AI into applications.
- Experiment tracking and reproducibility using MLflow / DVC and Docker.

📌 AI / ML Intern (Beginner Level) (Hyderabad)
🏢 Desirous Global Consulting
📍 Hyderabad