Role overview
- Build Machine Learning models with financial data
- Design, build, and maintain CRUD APIs to interact with users and serve the models
- Deploy, monitor, and maintain applications in Azure and Snowflake
- Languages: Python, SQL
- ML Frameworks: PyTorch, XGBoost
- API Frameworks: FastAPI
- Databases: Snowflake, Postgres
- Cloud: Azure
- Monday–Friday: 8:30 – 17:30 CET
- Lunch: 13:00 – 14:00 (flexible)
- Interview with CTO or Senior Engineer (15 min): Company and role presentation, alignment on expectations.
- Interview with CEO (15 min): Final Q&A round, alignment on project.
- 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
We are a Machine Learning and Computer Vision startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy.
Our expertise spans Machine Learning and Generative AI for financial services and Computer Vision for life sciences.
At Gemmo AI, we build custom AI solutions that combine automation with human insight. We use a modular approach: first we explore the highest-impact opportunities, then we design and deploy tailored solutions, and finally we help improve and maintain them over time.
We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under your control.
Tags & focus areas
Used for matching and alerts on DevFound Internship Remote Ai Machine Learning Computer Vision Generative Ai