Gemmo

Role Description We have to fill multiple positions. Depending on your previous work experience (years in the job market), qualification (Bachelor, Master, Ph.D., Post-doc) you might be offered two types of position: - No work experience, and a Master / Bachelor → We offer you an Internship - At least 2 years of work experience OR a Ph.D. / Postdoc → We offer you a Full-Time Position What You’ll Do? Depending on your profile and interests, you could be placed on one of two flagship tracks: - Track 1. AI for Financial Services: 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: 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. What You Will Learn? - 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 Tech Stack - Languages: Python, SQL - ML Frameworks: PyTorch, XGBoost - API Frameworks: FastAPI - Databases: Snowflake, Postgres - Cloud: Azure, AWS How We Work? - Communication: We run one short standup every morning to align on daily priorities. Everything else lives in writing: project documentation on Linear and GitHub, async conversations on Slack with dedicated channels per team and project. - Rhythm & Organisation: We work in weekly sprints, so priorities are always clear and nothing drags. Every Friday we run a retrospective, an open conversation about what's working and what isn't. Compensation - Internships - Compensation: €830 gross/month (€5,000 gross total over 6 months) - Contract type: Convenzione Stage curriculare / extra-curriculare - Relocation bonus: €3,000 gross, paid in three instalments of €1,000 each to support your move to Milan - Food Allowance: €600 - Monthly travel reimbursement: up to €370 /month - Equipment: Brand new apple M5 14inch - High non-cash value (mentorship, fast promotion) - Duration: 6 months, with a 1-month trial period Career Path for Interns This internship is not a dead end; it's the front door. We hire interns with the explicit intention of converting them into full-time engineers. Here's what that typically looks like: - Internship → Full-Time Conversion: Most interns transition to a permanent contract within 3 to 6 months. The strongest performers make the jump in as little as 2 months. We don't believe in making people wait if the fit is clear. Compensation Full-Time - RAL: €33,000 gross, CCNL Metalmeccanico level C3 - Relocation Package: €3,000 - Food Allowance: €1,200 - Project bonuses: awarded on delivery and client impact - Year-end bonus: awarded for outstanding team performance - Salary progression: +10% at each career level - Salary reviews: it happens every year - Equipment: Brand new apple M5 14inch - Contract Type: Tempo Determinato - Duration: 6 months, with a 1-month trial period Career Path for Tempo Determinato You do a great job in your first six months with us and we will offer you a Tempo Indeterminato before the end of your contract. Remote Work & Schedule This is a remote position, and you are free to work from anywhere in Italy. However, if you fancy collaborating with other members of the team, you are welcome to join our Milan office (Via Zuretti 34, Milan). - Working hours: Monday–Friday: 8:30 – 17:30 CET - Lunch: 13:00 – 14:00 (flexible) Selection Process We keep it fast, respectful, and transparent. - Interview with CEO (15 min): Motivation, Background knowledge and Availability - Interview with CTO or Senior Engineer (15 min): Company and role presentation, alignment on expectations. - Technical Interview (30-40 min): Technical discussion on ML principles and system design. No whiteboard coding or Leetcode-style questions. Total timeline: 3 to 4 weeks Mandatory - 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 Travel Once a year, the whole team flies to Dublin for a 3-day offsite at our HQ. We also invite once a year the company to a nice place.

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.