Role overview
Do you think Artificial Intelligence is changing the world? So do we.**
At Gemmo, we don't just build models: we help Fortune 200 companies like Novartis and Broadridge harness the power of AI to generate real, measurable impact.
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.
What you'll work on
You'll gain hands-on experience working alongside senior ML engineers on real production problems. Not simulations, not tutorials code that runs on enterprise systems.
- 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
What we're looking for
- Experience with interaction with LLMs (GPT, Claude, Gemini) via API calls;
- Experience with running Machine Learning inference jobs with PyTorch or ONNX
*Benefits
Equipment*: You'll hit the ground running with a *brand new** MacBook Pro M4 14" yours to use from day one.
Travel: Once a year, the whole team flies to Dublin for a 3-day offsite at our HQ a mix of strategy, team building, and genuinely good craic.
Time Off: We believe rest is part of performing well. You'll have:
- 20 days of paid holiday per year
- 8 public holidays
- 104 hours of additional permitted leave per year
Interview process
We keep it fast, respectful, and transparent. No trick questions, no whiteboard theatre.
- 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.
Total timeline: 3 to 4 weeks You'll receive feedback at every stage, no ghosting, no ambiguity.