Founding Data and ML Engineer

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)