AI & Machine Learning Intern

Location: Hyderabad, India
Work arrangement: On-site
Duration: 6 months
Type: Full-time Internship
Stipend: ₹15000 per month
pharma& is looking for a talented AI & Machine Learning Intern to join our team in Hyderabad.
This internship is designed for candidates with a strong technical foundation in artificial intelligence and machine learning who are looking to apply their skills to real-world business problems.
We are particularly interested in candidates who can demonstrate practical experience through academic, personal, open-source or professional AI/ML projects.
What you will work on
As part of the team, you will have the opportunity to contribute to AI, machine learning and data-driven initiatives, potentially including:
Developing and evaluating machine learning models
Exploring Generative AI and Large Language Model applications
Working with structured and unstructured data
Supporting proof-of-concepts and AI prototypes
Data preparation, exploratory analysis and feature engineering
Experimenting with LLM APIs, open-source models and AI development frameworks
Exploring Retrieval-Augmented Generation, semantic search and vector databases
Supporting the development of scalable AI and analytics solutions
Working alongside colleagues across data, analytics, digital and business functions
Qualifications
Candidates should have:
A Bachelor's or Master's degree, or currently be studying towards a degree, in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Mathematics, Statistics, Engineering, or a closely related quantitative field
Strong Python programming skills
Hands-on experience with Pandas, NumPy and Scikit-learn
Hands-on experience with at least one deep learning framework such as PyTorch or TensorFlow
Good understanding of data structures, algorithms, probability, statistics and mathematical concepts relevant to machine learning
Demonstrated experience building, training and evaluating machine learning models
Ability to select and interpret appropriate evaluation metrics such as accuracy, precision, recall, F1-score, ROC-AUC, RMSE or similar
Understanding of data preparation, feature engineering, exploratory data analysis, model validation and model optimisation
Working knowledge of Git and GitHub
Understanding of Large Language Model concepts, including tokenisation, embeddings, encoder/decoder architectures, prompting, context windows, pre-training and fine-tuning
Hands-on experience using an LLM API, open-source LLM or AI development framework
Familiarity with prompting and in-context learning
Strong analytical and problem-solving skills
Ability to work independently and take ownership of technical problems
Strong communication skills and the ability to explain technical work clearly
Demonstrable AI/ML project required
Applicants must have at least one AI, machine learning or data science project that they can demonstrate and explain in detail during the interview.
Please include a link to your GitHub repository, portfolio, notebook or project/demo as part of your application.
Applications without evidence of a technical project may not be progressed.
Experience with any of the following would be an advantage
Retrieval-Augmented Generation (RAG)
Vector databases and semantic search
Hugging Face / Transformers
LangChain, LangGraph, LlamaIndex or Semantic Kernel
Natural Language Processing
Time-series modelling and forecasting
SQL
APIs and data pipelines
Azure or other cloud platforms
Docker
MLOps and model deployment concepts
Microsoft Fabric or Power BI
Open-source contributions or publicly available technical projects
Internship requirements
Candidates must be able to work full-time and on-site from our Hyderabad office for the full six-month internship.
We are looking for candidates who are technically curious, enjoy solving complex problems and can demonstrate that they have already started building and experimenting with AI and machine learning technologies.

Work arrangement
No