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, Num Py and Scikit-learn
Hands-on experience with at least one deep learning framework such as  PyTorch or Tensor Flow
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 Git Hub
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  Git Hub 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
Lang Chain, Lang Graph, Llama Index 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.