AI / ML Engineer Intern

Aerosmartx Technology; United States; Remote; USD 20,000 - 27,000; Full time

Job summary

Aerosmartx Technology is seeking a motivated AI/ML internship candidate for a remote 3–6 month program. You will join the technical team working on intelligent software and automation, contributing to real-world machine learning initiatives in a fast-paced environment.

Responsibilities include developing and evaluating ML and DL models, working with LLMs, building RAG workflows, implementing prompt engineering, creating Python REST APIs with FastAPI or Flask, connecting AI features to frontend

Qualifications

• Candidates may be currently studying or have completed a degree in Computer Science, Data Science, AI/ML or a related discipline.
• Python proficiency including NumPy, Pandas and Scikit-Learn.
• Familiarity with PyTorch, TensorFlow or Hugging Face is relevant for the role.
• Applicants should understand Git, GitHub and REST APIs.

Responsibilities

• Develop and evaluate machine learning and deep learning models.
• Work with large language models and build workflows involving RAG.
• Use prompt engineering while developing AI-focused functionality.
• Create REST APIs in Python with frameworks such as FastAPI or Flask.
• Connect AI capabilities with frontend systems through those APIs.
• Prepare, preprocess and organize datasets for model-related work.

Skills

Python

NumPy

Pandas

Scikit-Learn

Git

GitHub

REST APIs

Prompt engineering

Education

CS/Data Science/AI degree

Tools

PyTorch

TensorFlow

Hugging Face

FastAPI

Flask

Job description

Batch: 2026,2027.

About the role:

• This is a remote AI and machine learning internship with a duration of 3–6 months.
• The intern will join the technical team working on intelligent software and automation.

What you'll work on:

• Develop and evaluate machine learning and deep learning models.
• Work with large language models and build workflows involving RAG.
• Use prompt engineering while developing AI-focused functionality.
• Create REST APIs in Python with frameworks such as FastAPI or Flask.
• Connect AI capabilities with frontend systems through those APIs.
• Prepare, preprocess and organize datasets for model-related work.

What we're looking for:

• Candidates may be currently studying or have already completed a degree in Computer Science, Data Science, AI/ML or a related discipline.
• Python proficiency is expected, including NumPy, Pandas and Scikit-Learn.
• Familiarity with PyTorch, TensorFlow or Hugging Face is relevant for the role.
• Applicants should understand Git, GitHub and REST APIs.