Básico
AI Engineer
milano, lombardia, Italy
Compañía:
JR Italy
Cliente / Empleador:
DeepTree
Publicado: 18.05.2026
Fecha de cierre: 02.07.2026
Referencia laboral: 4ffa0412e3c653dfb7fa6c06dedb0be8
Información del puesto
Ubicación
milano, lombardia, Italy
Compañía
JR Italy
Cliente / Empleador
DeepTree
Referencia laboral
4ffa0412e3c653dfb7fa6c06dedb0be8
Tipo de listado
Básico
Se requiere permiso de trabajo de la UE
No
Publicado
18.05.2026
Fecha de cierre
02.07.2026
Descripción del puesto
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
Habilidades
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