Artificial Intelligence Engineer

Subbyx; Venezia; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A dynamic data-driven company in Italy is seeking an experienced Data Scientist to transform complex datasets into actionable insights. You will apply advanced analytics and Machine Learning to solve business problems and collaborate with cross-functional teams to implement data-driven solutions. The ideal candidate has over 5 years of experience, proficiency in Python, and is familiar with Large Language Models. Join a talented team offering competitive salary and growth opportunities.

Servizi

Competitive salary

Fast growth opportunities

Stock options

Performance bonuses

Competenze

• Minimum of 5-6 years of experience in Data Science or Machine Learning.
• Excellence programming knowledge in Python.
• Hands-on experience with Large Language Models (LLMs).

Mansioni

• Develop and optimize methods for acquiring and processing product data.
• Apply statistical modeling and Machine Learning to build predictive models.
• Design and implement recommendation algorithms tailored to customer behavior.
• Work closely with cross-functional teams to integrate data science solutions.

Conoscenze

Statistical modeling

Machine Learning

Data analysis

Python programming

Team collaboration

Formazione

Degree in Mathematics, Physics, Computer Science, Statistics

Descrizione del lavoro

Overview

Your mission

You will transform complex datasets into actionable insights, by applying advanced analytics, machine learning, and predictive modeling to solve challenging business problems. You will also design and implement data-driven solutions across multiple areas, including product insights, trend forecasting, and fraud detection.

Sub to freedom.

Freedom of choosing what you need, for how long you need it, without any sort of commitment. Freedom to change your mind and your behavior, whenever you want. Freedom of trying something new, without needing to worry if you don’t like it.

Freedom from debts and commitment. If you can’t carry on, cancel. Whenever. Freedom from purchasing and producing waste. Give it back when you don’t need it anymore, we’ll give it a new life.

Our mission is ambitious : to create and consolidate an alternative consumption model based on a simple monthly fee to achieve circularity and financial sustainability.

Easy to say, harder to do. That’s why we need you!

Responsibilities

• Develop, enhance, and optimize methods for acquiring, extracting, and processing product and catalog data to ensure accuracy, consistency, and relevance for analysis and downstream applications.
• Apply statistical modeling and Machine Learning to build, validate, and maintain models that predict and optimize key catalog and product metrics, such as relevance and availability.
• Design and implement recommendation algorithms tailored to customer behavior, with both supervised and unsupervised learning techniques to improve user engagement and experience
• Design and implement AI-powered workflows that identify potential new products outside the current catalog, evaluate their fit with the company’s offering and financial models, and support integration into the catalog, including subscription price optimization and availability monitoring
• Work closely with cross-functional teams, including Engineering and Product, to embed data science solutions into core business applications, ensuring seamless integration and scalability.

Qualifications

• Minimum of 5-6 years of experience in similar role in Data Science or Machine Learning
• Degree in Mathematics, Physics, Computer Science, Statistics or similar
• Excellence programming knowledge in Python
• Hands-on experience with Large Language Models (LLMs)
• Experience with Statistical Analysis and Machine Learning
• Analytical and data oriented
• Excellent knowledge of the English language
• Team-work and goal-oriented approach

What we offer

• An incredibly talented team
• Extreme learning curve
• Fast growth opportunities
• Motivation, inspiration and challenges
• Flexibility and total transparency
• Competitive salary
• Welfare
• Stock options and performance bonuses