At Gemmo, interns work on real production projects not toy datasets or internal tools. Depending on your profile and interests, you could be placed on one of two flagship tracks:
Track 1. AI for Financial Services - You'll work on Machine Learning solutions for one of the most data-rich industries in the world. Problems you might tackle include prediction models, document analysis with ML, fine-tuning LLMs for conversational data interfaces, and extracting actionable insights from large-scale datasets.
Track 2. Computer Vision for Pharma - You'll contribute to Computer Vision pipelines deployed in pharmaceutical environments, think object tracking, behaviour understanding, and solving complex real-world problems with nothing but a camera and a well-trained model.
Both tracks involve close collaboration with senior engineers and direct exposure to enterprise clients. This is not a support role you'll be expected to contribute from day one.
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.

Requirements

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;
Nice to Have
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine Learningcustom ML modelsPyTorchXGBoostAPI developmentrelational databasesdata queryingversion control systemsONNXinference jobs

Soft Skills

collaborationcommunicationproblem-solving