{"id":3499122,"url":"https://alion.io/job/basf-senior-data-ai-engineer-mfd","title":"Senior Data & AI Engineer (m/f/d)","company":{"id":96193,"name":"BASF","domain":"basf.com","url":"https://alion.io/company/basf-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":17,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":101000,"period":"year","method":"role_seniority_country_cell","sample_n":11},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"OpenSearch","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-30T02:53:01Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-07T14:59:29Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"RESPONSIBILITIES\nBuilding data and AI pipelines for document processing in our (micro-)batch architecture \nCollaborating with subject matter experts to understand requirements \nDesigning and implementing data extraction and retrieval solutions, leveraging modern AI methods where appropriate \nIntroducing new technologies to deliver reliable and cost-efficient services \nContributing to the evolution of our AI-powered search and knowledge platforms, including multimodal retrieval and knowledge extraction capabilities \nWorking in an international (team language English) and agile team (Scrum) \nQUALIFICATIONS\nA degree in computer science, software engineering, mathematics or similar experience \nStrong problem-solving skills with the ability to break down complex data and system challenges into pragmatic, scalable solutions \nOwnership mindset: takes responsibility end-to-end, from design and implementation to production support and continuous improvement \nExperience building and operating production-grade big data pipelines on Databricks \nExperience applying AI/ML and NLP techniques for information extraction, retrieval or knowledge discovery \nExperience with modern LLM-based RAG architectures, embeddings and vector search \nHands-on expertise with Apache Spark (PySpark/Scala), including performance tuning, data skew handling, and efficient cluster usage \nSolid Python programming skills \nExperience with ElasticSearch / OpenSearch \nExperience working in cloud-based DevOps environments, including Azure cloud, Azure DevOps, and CI/CD pipelines \nFluent communication in English is required \nNice to have\nExperience working with Azure Data Factory (ADF) \nExperience working with Kubernetes \nExperience in cloud environments (Storage Accounts, ADLS2) \nExperience with multimodal document processing (text, images, scanned documents) \nExperience evaluating and benchmarking LLMs for enterprise search and knowledge management \nWHAT WE OFFER\nA secure work environment because your health, safety and wellbeing is always our top priority.\nFlexible work schedule and Home-office options, so that you can balance your working life and private life.\nLearning and development opportunities\n23 holiday days per year\n5 additional days (readjustment)\n2 cultural days\nA collaborative, trustful and innovative work environment\nBeing part of an international team and work in global projects\nRelocation assistance to Madrid provided\nAt BASF, the chemistry is right\nBecause we are counting on innovative solutions, sustainable actions, connected thinking and on you, become a part of our formula for success and develop the future with us - 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