TestAing Solutions Pvt LtdVia Unstop

Posted 1w ago

AI/ML Internship - Python, LLM Fine-Tuning and AI Agents

Pay

INR 8,000+/month

Location

Remote, India

Remote

Type

Internship

Apply by

24 Oct

6 days left

Skills this role screens for

PythonPytorchNatural language processing (NLP)API development (rest)Git version control

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Responsibilities

What you'll do

Prepare datasets for LLM fine-tuning
Fine-tune and evaluate LLMs in Python
Develop and test AI agents
Build and test web front ends and APIs for AI applications
Write automated tests and evaluation scripts for agents, APIs, and front ends
Document code, experiments, and findings

Requirements

What they're looking for

Final-year B.Tech/B.E. student
Strong Python skills
LLM fine-tuning knowledge (dataset prep, training, evaluation) demonstrated in a project
Basic understanding of ML, deep learning, and NLP

Qualifications

What you'll need

B.Tech/B.E. in CS, IT, AI/ML, Data Science, or related field

Nice to have

What would help

Experience with PyTorch, Hugging Face, LoRA/QLoRA
Experience with REST APIs, JavaScript, or a front-end framework
Familiarity with Git
MLOps experience

Full description from the employer

About us AiEnsured works on AI assurance and governance. We are looking for final-year engineering students to contribute to practical AI/ML work. What you will work on • Prepare datasets and fine-tune and evaluate LLMs in Python • Develop and test AI agents • Build and test web front ends and APIs for AI applications • Write automated tests and evaluation scripts for agents, APIs and front ends • Document code, experiments and findings Mandatory • Final-year B.Tech/B.E. (CS, IT, AI/ML, Data Science or related) • Strong Python • LLM fine-tuning knowledge (dataset prep, training, evaluation), shown in a project • Basic ML, deep learning and NLP Good to have • PyTorch, Hugging Face, LoRA/QLoRA • REST APIs, JavaScript or a front-end framework • Git • MLOps experience (preferred)

Where this listing comes from

From a public listing board (Unstop).

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