Machine Learning Engineer - Internships and Full-time Positions

ph3Machine Learning Engineer Positions /h3 pWe have to fill bmultiple /b positions. /p pDepending 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. /p h3You have: /h3 ul liNo work experience, and a Master / Bachelor - We offer you an Internship /li liAt least 2 years of work experience OR a Ph.D. / Postdoc - We offer you a Full‑Time Position /li /ul h3About Us /h3 pWe are a Machine Learning and Computer Vision startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy. /p pOur expertise spans Machine Learning and Generative AI for financial services and Computer Vision for life sciences. /p pAt 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. /p pWe believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under your control. /p h3Our Team /h3 ul liMachine Learning Engineering: 20 people, including 4 Ph.D.s /li liBusiness Strategy: 2 people /li liLeadership: 2 people /li /ul pA lean, technical‑first team and we’re growing. We’re looking to add 5 new tech roles before the end of the year. /p h3What You’ll Do? /h3 ul liTrack 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. /li liTrack 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. /li /ul pBoth 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. /p h3What You Will Learn? /h3 ul liBuild Machine Learning models with financial data /li liDesign, build, and maintain CRUD APIs to interact with users and serve the models /li liDeploy, monitor, and maintain applications in Azure and Snowflake /li /ul h3Tech Stack /h3 pWe use a mix of modern tools and languages. You’ll have the chance to explore and work with technologies like these: /p ul liLanguages: Python, SQL /li liML Frameworks: PyTorch, XGBoost /li liAPI Frameworks: FastAPI /li liDatabases: Snowflake, Postgres /li liCloud: Azure, AWS /li /ul h3How We Work? /h3 pWe’re a small team, everyone is expected to communicate clearly, move fast, and take ownership. /p ul liCommunication: 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. /li liRhythm 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. /li /ul h3Compensation - Internships /h3 ul liCompensation: €830 gross/month (€5,000 gross total over 6 months) /li liContract type: Convenzione Stage curricular / extracurricular /li liRelocation bonus: €3,000 gross, paid in three instalments of €1,000 each to support your move to Milan /li liFood Allowance: €600 /li liMonthly travel reimbursement: up to €370/month /li liEquipment: Brand new Apple M5 14inch /li liHigh non‑cash value (mentorship, fast promotion) /li liDuration: 6 months, with a 1‑month trial period /li /ul h3Career Path for Interns /h3 pThis internship is not a dead end – it’s the front door. /p pWe hire interns with the explicit intention of converting them into full‑time engineers. Here’s what that typically looks like: /p h3Internship → Full‑Time Conversion /h3 pMost 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. /p h3Compensation Full‑Time /h3 ul liRAL: €33,000 gross, CCNL Metalmeccanico level C3 /li liRelocation Package: €3,000 /li liFood Allowance: €1,200 /li liProject bonuses: awarded on delivery and client impact /li liYear‑end bonus: awarded for outstanding team performance /li liSalary progression: +10% at each career level /li liSalary reviews: it happens every year /li liEquipment: Brand new Apple M5 14inch /li liContract Type: Tempo Determinato /li liDuration: 6 months, with a 1‑month trial period /li /ul h3Career Path for Tempo Determinato /h3 pYou 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. /p h3Remote Work Schedule /h3 pThis is a remote position, and you are free to work from anywhere in bItaly /b. /p pHowever, if you fancy collaborating with other members of the team, you are welcome to join our Milan office (Via Zuretti 34, Milan). /p pWorking hours: /p ul liMonday‑Friday: 8:30 - 17:30 CET /li liLunch: 13:00 - 14:00 (flexible) /li /ul h3Selection Process /h3 ul liInterview with CEO (15 min): Motivation, Background knowledge and Availability /li liInterview with CTO or Senior Engineer (15 min): Company and role presentation, alignment on expectations /li liTechnical Interview (30‑40 min): Technical discussion on ML principles and system design. No whiteboard coding or Leetcode‑style questions /li /ul h3Total timeline /h3 p3 to 4 weeks /p h3Requirements /h3 h3Mandatory /h3 ul liExperience with training custom ML models using PyTorch and XGBoost /li liFamiliarity with API development /li liGood understanding of relational databases and experience with querying and managing data /li liKnowledge of version control systems (e.g., Git) /li liB2+ English proficiency /li /ul h3Nice to Have /h3 ul liExperience with interaction with LLMs (GPT, Claude, Gemini) via API calls /li liExperience with running Machine Learning inference jobs with PyTorch or ONNX /li /ul h3Benefits /h3 pTravel: Once a year, the whole team flies to Dublin for a 3‑day offsite at our HQ. /p pOffsite: We also invite once a year the company to a nice place /p /p #J-18808-Ljbffr