AI/ML Engineer Intern

Sertis is seeking a Machine Learning Engineer Intern to support the productionization of data science research and AI-driven solutions. As a part of the team, you will gain hands-on experience in building MLOps infrastructure, developing cloud-native APIs, and contributing to writing production-grade software for model inference.

Requirements

• Currently studying a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• A foundational understanding of machine learning concepts and the Software Development Life Cycle (SDLC).
• Good programming skills in Python, and ideally some familiarity with C++ or other languages used in ML applications.
• An awareness of Generative AI concepts and curiosity about real-world AI applications.
• Some exposure to LLM APIs such as OpenAI or Hugging Face through coursework, projects, or self-study.

Benefits

• Hands-on experience in building MLOps infrastructure, developing cloud-native APIs, and contributing to writing production-grade software for model inference.
• Opportunity to apply academic knowledge to real-world generative AI projects and agentic systems.
• Collaborative work environment with experienced ML engineers.