Internship - Machine Learning EngineerThis is a conversion-oriented internship designed for candidates aiming for a full-time ML engineering role.About UsWe 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.Our TeamMachine Learning & Engineering: 14 people, including 4 Ph.D.sBusiness & Strategy: 3 peopleLeadership: 2 peopleA lean, technical-first team and we're growing. We're looking to add 5 new tech roles before the end of the yearWhat 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: 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 roleyou'll be expected to contribute from day one.What You Will Learn?Build Machine Learning models with financial dataDesign, build, and maintain CRUD APIs to interact with users and serve the modelsDeploy, monitor, and maintain applications in Azure and SnowflakeTech StackWe use a mix of modern tools and languages. You'll have the chance to explore and work with technologies like these:Languages: Python, SQLML Frameworks: PyTorch, XGBoostAPI Frameworks: FastAPIDatabases: Snowflake, PostgresCloud: Azure, AWSHow We Work?We're a small team, everyone is expected to communicate clearly, move fast, and take ownership.Communication We run one short standup each morning 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.CompensationCompensation: €830 gross/month (€5,000 gross total over 6 months)Contract type: Collaborazione OccasionaleHigh non-cash value (mentorship, fast promotion, relocation fully covered)Duration: 6 months, with a 1-month trial periodRelocation bonus: €3,000 gross, paid in three instalments of €1,000 each to support your move to MilanMonthly travel reimbursement: up to €370Career PathThis 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.Starting Compensation (Full-Time)RAL: €33,000 gross, CCNL Metalmeccanico level C1Salary progression: +10% at each career levelSalary reviews: it happens every yearProject bonuses: awarded on delivery and client impactYear-end bonus: a awarded for outstanding team performanceWe're a fast-growing company. If you perform, you'll be rewarded quickly and visiblynot in three years after your annual review cycle.Remote Work & ScheduleThis 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 CETLunch: 13:00 – 14:00 (flexible)Selection ProcessWe keep it fast, respectful, and transparent.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 (30-40 min): Technical discussion on ML principles and system design. No whiteboard coding or Leetcode-style questions.Total timeline: 3 to 4 weeksMandatoryExperience 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 HaveExperience with interaction with LLMs (GPT, Claude, Gemini) via API calls;Experience with running Machine Learning inference jobs with PyTorch or ONNXEquipment: You'll hit the ground running with aMacBook Pro M5 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.#J-18808-Ljbffr