• Work closely with business departments (Sales, Marketing, Products, Payments, Dealing) to understand their needs and translate these into practical, scalable, and robust machine learning solutions. • Work on such projects like LTV prediction, churn prediction, antifraud solutions, uplift modelling, GenAI-applications • Oversee current solutions, manage improvements if needed, expand the role of machine learning across organisation. • Implement new and improve current MLOps practices, laying the foundation for efficient and effective model development, deployment, and monitoring. • Implement new and support existing LLM projects (chatbots, knowledge base etc).

• Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider. • Ensuring the above models meet the expected performance • Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users. • Write technical documentation, examples and notebooks to demonstrate new features • Sharing & Advocating your work and the results with the community.

• Improve the open-source machine learning ecosystem • Work with existing open-source libraries, such as Transformers, Datasets, or Accelerate • Interact with users and contributors of the open-source machine learning ecosystem • Foster an active machine learning community • Collaborate with Researchers, ML practitioners, and data scientists

Role Description This is a conversion-oriented internship designed for candidates aiming for a full-time ML engineering role. 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 - Extracting actionable insights from large-scale datasets - Track 2. Computer Vision for Pharma: You'll contribute to Computer Vision pipelines deployed in pharmaceutical environments, focusing on: - Object tracking - Behaviour understanding - 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. Qualifications - 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 Requirements - 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 Benefits - Compensation: €830 gross/month (€5,000 gross total over 6 months) - Contract type: Collaborazione Occasionale - High non-cash value (mentorship, fast promotion, relocation fully covered) - Duration: 6 months, with a 1-month trial period - Relocation bonus: €3,000 gross, paid in three instalments of €1,000 each to support your move to Milan - Monthly travel reimbursement: up to €370 Company Description 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. - Machine Learning & Engineering: 14 people, including 4 Ph.D.s - Business & Strategy: 3 people - Leadership: 2 people A lean, technical-first team and we're growing. We're looking to add 5 new tech roles before the end of the year.