Intern - Engineering

OVERVIEW OF THE COMPANY

Fox Tech is looking for a talented and driven Intern with a focus on AI/ML to join our team. This internship provides a unique opportunity to work on real-world AI/ML projects, giving you hands-on experience in applying machine learning techniques within software development and engineering practices.

About the Role:

As an AI/ML Engineering Intern, you will assist in the design, development, and testing of machine learning powered software solutions. Working alongside experienced engineers and data scientists, you will contribute to new projects, helping you expand your technical skills and deepen your understanding of data sciences and machine learning.

About You:

You’re a tech-savvy individual with a passion and knowledge of AI/ML and software development.. You’re eager to learn, contribute, and bring strong analytical skills and attention to detail to each project. You’re excited to apply machine learning to real-world problems and thrive in a collaborative environment.

A Snapshot of the Responsibilities:

• Assist in developing and implementing machine learning models and AI-driven features.

• Participate in code reviews, contributing to model and code quality improvements.

• Conduct testing and debugging of AI applications to ensure functionality and performance.

• Collaborate with team members to gather requirements and provide technical support for AI/ML integrations.

• Help document technical specifications, model details, and user guides.

• Stay updated on industry trends and best practices in AI/ML engineering

What You Will Need:

• Currently pursuing a degree in Computer Science or a related field with a focus on AI/ML.

• Basic programming skills in languages such as Python, Java, or R, with familiarity in machine learning libraries (e.g., TensorFlow, PyTorch).

• Familiarity with software development methodologies and tools (e.g., Git, Agile) 

• Strong analytical and problem-solving abilities in AI/ML contexts.

• Excellent communication and teamwork skills.

• A willingness to learn and adapt in a fast-paced environment

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.