AI / Machine Learning Intern (AI)

TL;DR

AI / Machine Learning Intern (AI): Contributing to models, pipelines, and intelligent systems that power next generation hirify.global products with an accent on real-world AI/ML and Generative AI problems. Focus on designing, building, experimenting, and shipping alongside experienced engineers and data scientists.

Location: Remote (United States or Canada)

Salary: 24.00 - 34.50 USD Hourly

Company

hirify.global is a company that provides cloud and software platforms, systems and services required for communications service providers.

What you will do

• Design, implement, and experiment with machine learning and deep learning models for product use cases.
• Work on end‑to‑end ML workflows, including data preprocessing, feature engineering, model training, evaluation, and optimization.
• Contribute to Generative AI and agentic systems, including LLM‑based workflows, AI agents, orchestration, and prompt engineering.
• Develop prototypes and proof‑of‑concepts that can evolve into production features.
• Write clean, maintainable, and well‑documented Python code.
• Collaborate with cross‑functional teams (engineering, product, platform).

Requirements

• Currently enrolled in a college degree program in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related engineering discipline.
• Strong Python programming skills.
• Solid understanding of core AI / ML concepts.
• Familiarity with common AI / ML libraries / frameworks such as LangGraph, CrewAI, Google ADK, Microsoft AutoGen, PyTorch, TensorFlow, or scikit-learn.
• Comfortable working in a Linux/Unix environment.
• Experience using Git or other version control systems.

Nice to have

• Hands‑on project experience in Machine Learning / Deep Learning, Generative AI or LLM‑based systems, and Agentic AI or multi‑agent frameworks.
• Exposure to NLP, time‑series, recommendation systems, or anomaly detection and model deployment concepts or MLOps fundamentals.
• Experience with Cloud platforms (AWS, GCP, or Azure) and data processing frameworks (e.g. Spark).
• Strong problem‑solving mindset and curiosity to explore new AI techniques.
• Able to work for the complete summer break (May - August or June - September).

Culture & Benefits

• Opportunity to learn new skills through training and on the job learning.
• Part of a unique and award-winning internship program within the company.