Internship - Machine Learning Engineer

Role overview

• check_circle Build Machine Learning models with financial data
• check_circle Design, build, and maintain CRUD APIs to interact with users and serve the models
• check_circle Deploy, monitor, and maintain applications in Azure and Snowflake
• check_circle Languages: Python, SQL
• check_circle ML Frameworks: PyTorch, XGBoost
• check_circle API Frameworks: FastAPI
• check_circle Databases: Snowflake, Postgres
• check_circle Cloud: Azure
• check_circle Monday–Friday: 8:30 – 17:30 CET
• check_circle Lunch: 13:00 – 14:00 (flexible)
• check_circle Interview with CTO or Senior Engineer (15 min): Company and role presentation, alignment on expectations.
• check_circle Interview with CEO (15 min): Final Q&A round, alignment on project.
• check_circle Technical Interview (60 min): Technical discussion on ML principles and system design. No whiteboard coding or Leetcode-style questions.

Basic qualifications

• Master's degree in Computer Science, Data Science, Physics or other relevant STEM subjects.
• Experience with training custom ML models using PyTorch and XGBoost;
• Familiarity with API development;
• Good understanding of relational databases and experience with querying and managing data;
• Knowledge of version control systems (e.g., Git);
• B2+ English proficiency;

Preferred qualifications

• Experience with interaction with LLMs (GPT, Claude, Gemini) via API calls;
• Experience with running Machine Learning inference jobs with PyTorch or ONNX;

About the company