Junior AI / Machine Learning Engineer

ShadowDragon; United States; Remote; USD 60,000 - 90,000; Full time

Job summary

EduBard is hiring a ShadowDragon Junior AI/ML Engineer to work remotely from the United States on our data intelligence platform. You will help build, test, and refine AI features under guidance from senior engineers, focusing on practical, end-to-end ML projects and experiments.

The role recognizes internships, coursework, bootcamps, and open-source work as valid experience, with emphasis on Python-based tooling, model evaluation, and collaborative development.

Qualifications

• Up to two years in AI, machine learning, software, data science, or a related area.
• One or more end-to-end AI or ML projects.
• Solid Python.
• Foundations in ML, DL, NLP, data processing, and evaluation.

Responsibilities

• Help build, test, and improve AI features on the data intelligence platform.
• Engage in prompt experiments, retrieval-augmented generation, data prep, model evaluation, and automated tests with senior engineers.

Skills

Python

Tools

PyTorch

TensorFlow

scikit-learn

Hugging Face

pandas

NumPy

Git

Command line

Jupyter notebooks

APIs

Job description

ShadowDragon Junior AI/ML Engineer - Remote US

Pay Not listed (the application asks for a desired salary)

Experience

Experience Up to two years, including internships , school, and projects

Overview

ShadowDragon is hiring a junior AI / machine learning engineer to help build, test, and improve AI features on its data intelligence platform. The work covers prompt experiments, retrieval-augmented generation, data prep, model evaluation, automated tests, and AI services, with senior engineers.

Store Big Data

The posting treats internships, coursework, bootcamps, and open-source projects as valid experience. It asks for at least one hands-on, end-to-end AI or machine learning project.

Eligibility / Key Requirements

• Up to two years in AI, machine learning, software, data science, or a related area
• One or more end-to-end AI or ML projects
• Solid Python
• Foundations in machine learning, deep learning, NLP, data processing, and evaluation
• Familiarity with PyTorch, TensorFlow, scikit-learn, Hugging Face, pandas, or NumPy
• Git, the command line, notebooks, and APIs
• Authorized to work in the United States (the form asks this)

Compiled from the official posting; verify details on the employer site before applying.

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