AI & Machine Learning Intern

pharma&

Hyderabad

On-site

INR 180,000 - 240,000

Full time

7 days ago
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Benefits offered by this job

Stipend ₹15000/month

Job summary

pharma& is seeking a talented AI & Machine Learning Intern to join our Hyderabad team. This on-site, full-time internship provides hands-on experience in applying AI/ML to real-world business problems, with mentoring and exposure to end-to-end model development.

You will work on developing and evaluating ML models, exploring Generative AI, data prep, feature engineering and using LLM APIs, with a strong emphasis on practical projects and demonstrable work showcased in GitHub or portfolio.

Qualifications

  • Enrollment in a Bachelor’s or Master’s degree in AI/ML, CS, Math or a related field.
  • Strong Python programming skills with hands-on Pandas, NumPy and Scikit-learn.
  • Experience with PyTorch or TensorFlow and model development.
  • Good understanding of data structures, statistics and ML concepts.
  • Experience building and evaluating ML models and selecting metrics.
  • Familiarity with Git/GitHub and ML experimentation workflows.
  • Knowledge of LLM concepts, tokenisation and prompting is a plus.
  • Ability to work independently and communicate clearly.

Responsibilities

  • As part of the team, develop and evaluate ML models and benchmarks.
  • Explore Generative AI and LLM applications for business problems.
  • Work with structured and unstructured data and feature engineering.
  • Support POC development and AI prototypes with data pipelines.
  • Collaborate with cross-functional teams across data, analytics and digital.
  • Document experiments and present findings during interviews.

Skills

Python programming
Pandas
NumPy
Scikit-learn
PyTorch
TensorFlow
data structures and algorithms
statistics and ML concepts
model evaluation metrics
Git and GitHub
LLM concepts
prompting and in-context learning
LLM APIs

Education

Bachelor's or Master's in AI/ML/DS/CS/Math/Engineering

Tools

Docker

Job description

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

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.

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