Avyan AI is hiring for Ai/Ml Developer Intern - Remote
Avyan AI – AI/ML Internship (Remote, India)
Introduction
Are you a student or recent graduate eager to gain hands-on experience in Artificial Intelligence and Machine Learning? The Avyan AI AI/ML internship provides a practical environment to build real-world AI applications while working remotely. Interns will get exposure to modern AI tools, including large language models (LLMs), Hugging Face libraries, and OpenAI APIs. This internship goes beyond theoretical learning, allowing students to contribute to AI-native products, work on production-oriented pipelines, and gain mentorship from experienced engineers.
About Avyan AI
Avyan AI is a forward-looking company focused on building AI-native applications that integrate generative models, cloud infrastructure, and data engineering best practices. The company’s goal is to empower product teams and businesses to harness AI in practical, usable ways, bridging the gap between research-grade models and production-ready applications.
Interns at Avyan AI benefit from exposure to the complete lifecycle of AI product development, including dataset preparation, model fine-tuning, inference optimization, deployment pipelines, and evaluation frameworks. Working with a small, product-led engineering team provides intensive mentorship, direct feedback, and opportunities to make meaningful contributions.
The company emphasizes innovation, collaboration, and skill development. Interns get the chance to learn from engineers who have experience deploying AI models at scale, contributing to open-source libraries, and solving complex data engineering challenges.
Role Overview
The Avyan AI AI/ML internship is designed to give students a hands-on, production-oriented experience. Interns will work on projects that combine coding, model experimentation, and integration into applications. Typical responsibilities include:
- Exploring and experimenting with pretrained models, including transformer-based LLMs.
- Data collection, cleaning, and preparation for supervised or fine-tuning tasks.
- Prototyping pipelines for model training, inference, or evaluation.
- Collaborating with engineers to integrate models into simple applications, APIs, or dashboards.
- Maintaining documentation, experiment notes, and reproducible code for knowledge transfer.
Interns are expected to contribute tangible outputs such as functioning prototypes, experiment results, or scripts that can be used by product teams. The internship provides practical exposure to the challenges and solutions in real AI workflows.
A Day in the Life of an AI/ML Intern
- Morning stand-up or check-in with the mentor to review tasks, blockers, and project progress.
- Data exploration and preprocessing, including cleaning raw datasets and formatting data for model training.
- Implementing small experiments with LLMs or other AI models, tracking metrics like accuracy, F1 score, or loss.
- Collaborating with engineers to integrate models into test APIs or prototype applications.
- Documenting experiment results, coding choices, and reproducible pipelines.
- Reviewing and refactoring code to ensure efficiency and maintainability.
- End-of-day review with mentor, planning next steps and highlighting challenges.
Required Skills (Explained in Detail)
- Python Programming: Python is the main language for AI/ML development. Interns will write data processing scripts, model training loops, API integrations, and prototype workflows. Libraries such as NumPy, Pandas, PyTorch, and TensorFlow are essential tools.
- Machine Learning Fundamentals: Understanding supervised learning, evaluation metrics, model generalization, and basic neural networks is key to implementing and interpreting experiments reliably.
- Familiarity with LLMs & Transformers: Knowledge of transformer architectures, fine-tuning methods, prompt engineering, and Hugging Face Transformers library will accelerate the intern's ability to work with modern AI systems.
- Data Engineering Basics: Skills in data cleaning, ETL pipelines, and managing datasets are crucial to ensure reproducibility, consistency, and correctness of experiments.
- Version Control & Collaboration (Git): Using Git for version control, managing branches, and making clear commits ensures smooth teamwork and maintainable codebases.
- Cloud & Deployment Awareness (Optional but Valuable): Basic understanding of Docker, cloud storage, or cloud computing concepts helps interns prepare models for deployment or integration into services.
- Communication & Documentation: Ability to explain your approach, document experiments, and articulate trade-offs is critical to effective teamwork and mentorship.
Eligibility Criteria
- Open to students or graduates in Computer Science, Data Science, Mathematics, Statistics, or related technical fields.
- Familiarity with Python and basic ML concepts.
- Ability to share code or project work via GitHub, notebooks, or small demo applications.
- Outstanding interns may be considered for full-time roles based on performance.
- Interns should be self-motivated, proactive, and able to work in a remote environment with minimal supervision.
Stipend / Salary Insights
Avyan AI does not publicly disclose stipend details. However, typical AI/ML internships in India for 2024–2025 range from ₹10,000 to ₹40,000 per month. Factors influencing stipend include the complexity of projects, mentorship provided, and the technical contribution of the intern. Even if the stipend is modest, the exposure, mentorship, and portfolio development make this internship valuable for career growth.
Additional benefits of internships like this include networking with experienced AI engineers, gaining real-world experience with modern ML toolkits, and building a strong foundation for future AI/ML roles.
How to Apply + Practical Tips
- Resume Preparation: Highlight relevant AI/ML projects, competitions (Kaggle, hackathons), coursework, and GitHub repositories. Use bullet points to showcase measurable impact (“Increased model accuracy by 10%” or “Automated data pipeline for 50,000 records”).
- Portfolio Links: Share Jupyter notebooks, demo apps, GitHub repos, or Kaggle submissions to demonstrate practical skills.
- Assignments: If the application includes a task or coding challenge, treat it like a mini-project. Provide clean code, documentation, visualizations, and a brief explanation of your approach.
- Interview Preparation: Be ready to explain projects, algorithms, model design choices, and preprocessing steps. Revise ML fundamentals, probability, statistics, and basic programming logic.
- Research the Company: Understanding Avyan AI’s products, technology, and mission shows genuine interest and helps during interviews.
Career Growth & Industry Insights
AI/ML internships serve as a launchpad for students seeking careers in ML engineering, data engineering, or research roles. Skills developed during internships—such as building inference pipelines, managing datasets, and deploying models—are highly sought after in product companies, AI startups, and research labs.
Industry trends in 2024–2025 emphasize deployment-ready ML systems, automated model evaluation, cloud-based pipelines, and interpretability. Interns gaining exposure to these aspects are better positioned for full-time roles or global opportunities.
Typical career paths after an AI/ML internship include:
- Machine Learning Engineer
- Data Engineer / Data Scientist
- Research Engineer / AI Researcher
- AI Product Engineer
- Technical Team Lead / Senior AI Engineer (with experience)
Interns may also explore specialized domains such as NLP, computer vision, recommendation systems, or generative AI, depending on projects they work on.
Conclusion
The Avyan AI AI/ML internship provides a unique opportunity for students and freshers to gain production-level AI experience in a remote setup. If you are pursuing 2025 internships or fresher jobs in AI/ML, this program offers mentorship, hands-on projects, and a potential pathway to a full-time role.
Prepare a concise, impactful resume, showcase relevant projects or GitHub repos, and be ready to explain your technical choices. Contributions during this internship—whether small prototypes, data pipelines, or model evaluations—can significantly enhance your profile and accelerate your AI/ML career trajectory.
Apply Here
Apply for the Avyan AI AI/ML Internship (Remote - India)
Disclaimer
This post is shared to help job seekers. Please verify role details and timelines with the employer before applying. Do not make any payments for job applications. Stipend and selection process details are determined by Avyan AI and may change.