Base

AI Engineer

milano, lombardia, Italy Azienda: JR Italy Cliente / Datore di lavoro: DeepTree
Pubblicato: 18.05.2026
Data di chiusura: 02.07.2026
Referenze lavorative: 4ffa0412e3c653dfb7fa6c06dedb0be8

Informazioni sul lavoro

Posizione
milano, lombardia, Italy
Azienda
JR Italy
Cliente / Datore di lavoro
DeepTree
Referenze lavorative
4ffa0412e3c653dfb7fa6c06dedb0be8
Tipo di elenco
Base
Permesso di lavoro UE richiesto
No
Pubblicato
18.05.2026
Data di chiusura
02.07.2026

Descrizione del lavoro

About DeepTree At DeepTree, we're building the best M&A analyst in the world, using AI to empower and enhance how financial decisions are made. We're a team built around extraordinary talent, where expectations are high and growth is directly tied to impact. We offer salary, stock options, and a meritocratic growth path. Working with high-profile investment banks and private equity funds, we carry the responsibility to deliver fast, but most importantly, reliable and high-quality results. This responsibility drives our standards, our pace, and the way we work. We're now looking for a passionate and skilled AI Engineer to help us push the limits of what's possible. What You'll Do Design, develop, and deploy tailor-made AI agents that tackle M&A tasks with the precision of a world-class analyst Contribute across the full stack: from researching state-of-the-art models to fine-tuning and deploying them in production Collaborate within a dynamic, high-talent team that learns fast and iterates faster – Bring creativity and rigor to solving problems no one has solved before What We Look For We believe talent beats experience. What matters most is a genuine passion for AI, and the curiosity and drive to learn quickly, build fast, and improve constantly. We don't care how many years of experience you have, we care about the skills you can demonstrate. We value people who are comfortable with ambiguity, driven by challenges, and focused on building systems that work in production, not just on paper. We look for candidates who combine meticulous precision with a creative, out-of-the-box approach to problem-solving. Ideally, you're solid in software development and you've explored topics like AI agent orchestration (e.g. LangChain, LangGraph) and machine or deep learning models, whether through study or personal projects. No specific experience is required if your skills and mindset are strong. Compensation & Growth Salary: €55k–€65k, depending on skills and potential

Abilità

Agile Project Management Algorithms analyse big data analyse business requirements apply ICT systems theory apply systemic design thinking Artificial Neural Networks Assembly (computer programming) assess ICT knowledge build business relationships build predictive models build recommender systems Business Analytics Business Intelligence business process modelling C COBOL CoffeeScript Common Lisp computer programming Computer Simulation Computer Vision create data sets creatively use digital technologies Data Mining Data Models Data Science database development tools Deep Learning define technical requirements deliver visual presentation of data design application interfaces design database scheme design process develop creative ideas develop statistical software digital data processing Erlang Groovy Haskell ICT project management methodologies identify processes for re-engineering Information Architecture information categorisation Information Extraction information structure Java (computer programming) JavaScript lean project management LINQ Lisp manage business knowledge manage ICT data classification manage ICT semantic integration Matlab Microsoft Visual C++ ML (computer programming) N1QL Objective-C OpenEdge Advanced Business Language operational research Pascal (computer programming) perform dimensionality reduction Perl PHP principles of artificial intelligence Process-based management Prolog (computer programming) Python (computer programming) R resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) SPARQL Swift (computer programming) systems development life-cycle task algorithmisation TypeScript Unstructured Data use data processing techniques utilise machine learning VBScript Visual Basic visual presentation techniques

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