Founding Data and ML Engineer

Veliu; Milano; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A sustainability-focused tech company in Milan is seeking a skilled Data Engineer to lead data pipelines and AI/ML projects. You'll design and maintain scalable data solutions that impact users directly and help drive our commitment to the circular economy. Candidates should have strong programming skills in Python and SQL, along with proficiency in data science techniques and familiarity with AI libraries. Ideal for those passionate about fintech and sustainability, this role offers the chance to influence projects that matter.

Competenze

• Experience with programming languages and tools such as Python, SQL, Spark, and Pandas.
• Proficiency in data science and machine learning techniques including regression, classification, and clustering.
• Familiarity with AI/ML libraries and frameworks like TensorFlow and PyTorch.

Mansioni

• Design, build, and maintain scalable data pipelines to handle large volumes of data.
• Develop, train, and deploy AI/ML models for various tasks including pricing and risk management.
• Collaborate with engineering to develop efficient data storage solutions.

Conoscenze

Python

SQL

Spark

Pandas

Polars

Data Science techniques

Machine Learning techniques

NLP

AWS

Data visualization tools

Git

Strumenti

TensorFlow

PyTorch

scikit-learn

Spacy

Descrizione del lavoro

Transforming Circular Economy

Embrace our Mission

Circularity for everyone! We are on a mission to help people recover the value embedded in their pre-owned goods, transforming them into currency, and enabling brands to sell more sustainably. We’ve built a unique AI-powered, product-centric platform that connects retailers, consumers, and professional used‑goods buyers. As we scale rapidly across Europe, we’re raising the bar for sustainability in one of the largest markets worldwide.

Live by our Culture

We foster autonomy within our team, driven by our mission and the belief that ‘culture eats strategy for breakfast.’ In our view, agile management, long‑term planning, and a deductive approach often fall short—only execution and tangible results truly matter. We believe in shared ownership of the company and learning through experimentation.

Join our Team

We are highly focussed on people and work relentlessly to put the best possible team together. Veliuers have workd in some of the best startups worldwide: Senso, Meta, Scalapay, Palantir, Qonto, ScaleAi, Satispay, TaxFix and more!
We secured our 4m USD pre‑seed round in July 2025 and we have giga office in Milan (Italy).

Role

In this role, you’ll be seen by the team as the go‑to person for most of our data pipelines and data science/ML projects. This isn’t a research‑focused position — the workflows you build will be used in real‑life, production applications that directly impact our users and partners. Your work will play a key role in powering our platform and driving meaningful results across the board.

Core Responsibilities

• Data Engineering:

  • Design, build, and maintain scalable data pipelines to collect, clean, and transform large volumes of structured and unstructured data.

  • Collaborate with the engineering team to develop efficient data storage solutions (e.g., data lakes, warehouses) and ensure smooth data flow for AI, data science and analytics use cases.

• Data Science & AI/ML:

  • Develop, train, and deploy AI/ML models for prediction, recommendation, and optimization tasks, with a focus on Pricing, Risk Management and Catalog Management.

  • Continuously experiment and validate model performance, ensuring robustness and scalability in real‑world applications.

  • Work on applied AI techniques such as natural language processing (NLP) or computer vision to enhance company products and services.

Skills we are looking for

• Experience with programming languages and tools (e.g., Python, SQL, Spark, Pandas, Polars)

• Proficiency in data science and machine learning techniques (e.g., regression, classification, clustering, time series forecasting).

• Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit‑learn, Spacy).

• Passion for AI applications in fintech, sustainability, and the circular economy.

• Nice to have:

  • Experience with cloud environment (e.g., AWS/GCP/Azure), cloud computing and ETL.

  • Experience with data visualization tools (e.g., Plotly, Seaborn)

  • Proficiency with version control (e.g., Git)