{"id":3085507,"url":"https://alion.io/job/shalion-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":692065,"name":"Shalion","domain":"shalion.com","url":"https://alion.io/company/shalion","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":112000,"period":"year","method":"role_country_seniority_unknown","sample_n":32},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Oracle ERP","optional":true}],"status":"live","first_seen_at":"2026-10-22T12:46:27Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T15:15:23Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About us\nShalion is a data and insights-driven company that serves world-class manufacturers and brands globally. Through our Digital Shelf Optimization, Retail Media, and Food Service Aggregators solutions, we provide innovative tools for e-commerce monitoring.\nAt Shalion, we empower brands to make smarter business decisions in eCommerce by delivering actionable data and insights on online product prices, availability, share of search, and more. We operate across 1000+ e-retailers in 60+ countries, serving industry giants such as Heineken, Lego, Danone, Nestlé, and JDE.\nAs a leader in data intelligence, we specialize in gathering, analyzing, and applying proprietary artificial intelligence to deliver relevant data and monitoring tools, helping our clients maximize their e-commerce performance.\nThe role\nAs a Machine Learning Engineer, you will join our Data Science team and play a key role in transforming research-driven work into robust, production-ready systems. You will help elevate the team’s engineering maturity, promote best practices, and ensure that models are scalable, maintainable, and deliver real business impact.\nYour Responsibilities:\nOwn the end-to-end lifecycle of ML systems, with focus on deployment and monitoring.\n\nRefactor and productionize existing models and notebooks into clean, modular, and testable code.\n\nIntroduce and enforce best practices in coding, testing, model versioning\n\nSet up and improve CI/CD workflows for ML systems.\n\nWork closely with Data Scientists and Data Engineers to ensure clean interfaces and reliable data flows\n\nAct as a technical reference within the team, reviewing code and guiding less experienced members.\n\nYour profile:\nExperience building and deploying ML systems in production environments\n\nStrong software engineering skills in Python, with a focus on writing clean, maintainable, and testable code\n\nProven experience taking models from notebook to production\n\nSolid understanding of model development lifecycle\n\n(Bonus) Familiarity with containerization (Docker)\n\n(Bonus) Experience with cloud environments (AWS preferred) and data platforms such as Snowflake\n\nSoft Skills:\nPragmatic and solution-oriented: you focus on what works in production, not just in theory\n\nComfortable working in ambiguous environments and bringing structure where needed\n\nQuality-driven mindset with attention to maintainability and long-term scalability\n\nInterview process:\nFirst interview: Intro & mutual fit\n\nSecond interview: Technical discussion\n\nThird interview: Deep dive with Tech Lead\n\nWhat we offer you\nAn international team - Work with colleagues from 10+ nationalities.\n\nA dynamic and innovative environment - Be part of a high-performing team.\n\nHybrid work model - 3 days in-office, 2 days remote.\n\nImpactful work - Contribute to a challenging and innovative project.\n\nFlexible benefits - allocate part of your gross salary (pre-tax) to meal vouchers, transport allowance, and private healthcare at a preferential rate.\n\nOffice perks - Fresh fruit and specialty coffee daily.\n\nContract: Permanent\n\nGreat location - Office in Barcelona’s Sarrià-Sant Gervasi district.\n\nShalion Data Services Limited is an equal-opportunity employer. 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