Opportunity brief
PGAGI Consultancy Private Limited is hiring for the role of AI/ML Intern!
About the Company:
We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.
Responsibilities:
- Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.
- Develop and iterate on prompt engineering strategies to optimise model performance and output quality.
- Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.
- Build deep learning workflows including training, evaluation, and continuous improvement loops.
- Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.
- Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.
- Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.
- Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.
- Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).
- Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.
- Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.
- Write clean, well-tested, and well-documented backend code; participate actively in code reviews.
- Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.
- Contribute to technical documentation, architecture decision records, and internal knowledge bases.
Requirements:
- Strong foundational knowledge in AI/ML concepts and algorithms.
- Proficiency in programming languages such as Python.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Excellent problem-solving skills and a keen eye for detail.
- Ability to work independently and as part of a team.
- Currently pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.