{"id":25022,"url":"https://alion.io/job/civitta-aiml-developer-digital-data","title":"AI/ML Developer | Digital & Data","company":{"id":16271,"name":"Civitta","domain":"civitta.com","url":"https://alion.io/company/civitta","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":77,"open_postings":34,"ghost_share":0.294,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":153,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary","Poland","Lithuania"],"countries":["HU","PL","LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Computer Vision","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"NLP","optional":false},{"name":"OpenSearch","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-04-17T09:02:02Z","employer_posted_date":"2026-04-17","last_verified_at":"2026-10-18T12:19:40Z","board_verified":true,"closed_at":null,"days_open":184,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":183},"description":"Join Civitta - an international company with 750+ colleagues across 20+ countries. We are delivering consulting, digital, funding, and public sector transformation projects across Central and Eastern Europe, Central Asia, the Caucasus, and other global markets.\nHelp businesses turn strategy into digital solutions: from AI-powered marketing to data-driven products and custom software. We combine business thinking with technical execution.\nEvery day, you might build an e-commerce platform using predictive analytics, design a high-impact digital campaign, or develop a data-driven product that drives measurable results.\nTake the step towards your journey with us and join us as an AI/ ML Developer in Lithuania, Hungary, or Poland!\nYou will:\nImplement end-to-end AI features depending on the project, including, but not limited to: Computer Vision(detection/recognition pipelines, image preprocessing, evaluation, inference integration), NLP/Transformers (text classification, extraction, summarization, embeddings-based workflows), RAG / semantic search (ingestion -> chunking -> embeddings -> retrieval -> answer generation);\nImprove retrieval quality using two-stage search (vector retrieval + reranking using cross-encoders/rerankers) when relevant to the project;\nWork with vector search / vector databases in local and cloud setups: Self-hosted (Docker) and client environments, as well as cloud-managed search stacks (e.g., OpenSearch vector search, Azure AI Search hybrid/vector search);\nBuild and maintain Python backend APIs (FastAPI/Django) that serve AI pipelines reliably (auth integration, error handling, basic performance considerations);\nPackage solutions with Docker, help run deployments in cloud environments, and support debugging in dev/stage/prod;\nCollaborate with software engineers, data engineers, and consultants to deliver working solutions under real project timelines.\nRequirements:\n3+ years of Python development (or equivalent strong practical experience) and abilityto ship working backend services;\n\nHands-on experience building at least two of: NLP/Transformer-based pipeline, RAG /semantic search pipeline, Computer Vision pipeline;\n\nFamiliarity with embeddings + vector search concepts (indexes, filtering/metadata,similarity search);\n\nComfort with Docker, Git, and Linux basics (running services locally, troubleshootingdependencies);\n\nPractical mindset: you can translate requirements into an implementable pipeline anditerate quickly;\n\nUpper-intermediate English;\nExperience with IaaS cloud solutions (e.g., AWS, Azure, GCP), cross-encoders asrerankers, OpenSearch vector search, Azure AI Search hybrid retrieval and semantic\nreranking concepts, or basic ML serving/performance awareness would be a plus.\n\nBenefits:\nProfessional Growth - 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