{"id":827789,"url":"https://alion.io/job/veliu-founding-data-and-ml-engineer","title":"Founding Data and ML Engineer","company":{"id":689043,"name":"Veliu","domain":"veliu.com","url":"https://alion.io/company/veliu","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milan, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":45000,"max":75000,"currency":"EUR","period":"year","gross":null,"usd_annual":84125},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Pandas","optional":false},{"name":"Polars","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Matplotlib","optional":true},{"name":"Plotly","optional":true},{"name":"Seaborn","optional":true}],"status":"live","first_seen_at":"2025-10-22T15:13:50Z","employer_posted_date":"2025-10-22","last_verified_at":"2026-10-31T18:02:47Z","board_verified":true,"closed_at":null,"days_open":374,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":373},"description":"Transforming Circular Economy\nEmbrace our Mission\nCircularity 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.\nLive by our Culture\nWe 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.\nJoin our Team\nWe 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!\nWe secured our 4m USD pre-seed round in July 2025 and we have giga office in Milan (Italy).\nRole\nIn 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.\nCore Responsibilities\nData Engineering:\nDesign, build, and maintain scalable data pipelines to collect, clean, and transform large volumes of structured and unstructured data.\n\nCollaborate 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.\n\nData Science & AI/ML:\nDevelop, train, and deploy AI/ML models for prediction, recommendation, and optimization tasks, with a focus on Pricing, Risk Management and Catalog Management.\n\nContinuously experiment and validate model performance, ensuring robustness and scalability in real-world applications.\n\nWork on applied AI techniques such as natural language processing (NLP) or computer vision to enhance company products and services.\n\nSkills we are looking for\nExperience with programming languages and tools 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