Founding Data and ML Engineer

Veliu; Milano; On-site; EUR 90,000 - 140,000; Full time

Job summary

Veliu, Milan-based, is seeking a talented data engineer and ML practitioner to lead data pipelines and AI-driven projects that power our platform for retailers, consumers, and buyers. This role focuses on production-grade workflows affecting pricing, risk management, and catalog management.

You will work with Python, SQL, Spark, and modern ML frameworks, applying NLP and CV techniques to real-world, sustainability-oriented products.

Qualifications

• Experience building data pipelines and ML models for production systems.
• Strong Python, SQL, and Spark skills.
• Familiarity with fintech, sustainability, and circular economy domains.

Responsibilities

• Design, build, and maintain scalable data pipelines to collect, clean, and transform large volumes of data.
• Develop, train, and deploy AI/ML models for pricing, risk management, and catalog management.
• Experiment and validate model performance for robust production deployment.
• Apply NLP or computer vision techniques to enhance product features.

Skills

Python

SQL

Spark

Pandas

Polars

TensorFlow

PyTorch

NLP

Computer Vision

Tools

Plotly

Seaborn

Git

Docker

Job description

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 worked in some of the best startups worldwide: Senso, Palantir, Reddit, Meta, Scalapay, Sibill, ScaleAi, Satispay 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)