{"id":1350870,"url":"https://alion.io/job/dcv-technologies-aiml-engineer-remote","title":"AI/ML Engineer | Remote","company":{"id":890,"name":"DCV Technologies","domain":"dcvtechnologies.co.uk","url":"https://alion.io/company/dcv-technologies","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":["BG","PL","RO"],"hiring_countries_total":3,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":103000,"period":"year","method":null,"sample_n":3649},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"EU AI Act","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"LLM","optional":true},{"name":"OCR","optional":true},{"name":"OpenAI","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-27T18:00:12Z","employer_posted_date":null,"last_verified_at":"2026-09-27T18:00:12Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"AI/ML Engineer | Mid & Senior\nB2B contract\n\nLocation: Romania / Bulgaria / Poland - 100% Remote\n\nOur client is a leading automotive and mobility organization operating a large dealer and service network across multiple business domains. The company is investing heavily in Artificial Intelligence and Generative AI to improve operational efficiency, customer experience, document processing, and decision-making capabilities. As part of its AI transformation journey, the client is building an AI Factory responsible for delivering scalable, production-ready AI solutions across the organization.\nProject Description\nThe AI Factory is responsible for the end-to-end delivery of AI and Generative AI solutions, covering the entire lifecycle from ideation to production operations. The successful candidate will contribute to the design, development, deployment, and continuous improvement of AI-powered products supporting dealer operations, back-office processes, document processing, decision-support systems, and intelligent data platforms.\nKey Responsibilities:\nDesign and develop machine learning solutions aligned with business objectives.\n\nBuild and train ML models for document intelligence, predictive analytics, recommendation systems, and decision-support use cases.\n\nOwn the ML lifecycle, including: data preparation, feature engineering, model training, evaluation, deployment, monitoring, retraining.\n\nCollaborate with business stakeholders during AI use case definition and technical design phases.\n\nWork closely with Data Engineers, MLOps Engineers, and Solution Architects to ensure production-ready solutions.\n\nContribute toAI governance and compliance activities, including AI Act requirements, transparency mechanisms, technical documentation, and event logging.\n\nSupport knowledge sharing and capability building within the client's internal AI and Automation teams.\n\nProject Domain\nAI\nTechnical Requirements (must have)\nStrong Python programming skills.\n\nHands-on experience with machine learning frameworks:PyTorch and/or TensorFlow, scikit-learn.\n\nExperience building and deploying machine learning models in production environments.\n\nUnderstanding of model evaluation, experimentation, and performance monitoring.\n\nExperience with ML lifecycle management tools such as MLflow.\n\nExperience with cloud-based ML platforms (Azure ML preferred; Vertex AI or AWS SageMaker also acceptable).\n\nFamiliarity with CI/CD concepts and MLOps practices.\n\nExperience working with structured and unstructured data.\n\nUnderstanding of AI governance, model documentation, and responsible AI principles.\n\nExperience collaborating within cross-functional agile teams.\n\nStrong analytical and problem-solving skills.\n\nEffective communication skills and ability to work directly with business stakeholders.\n\nNice to Have\nExperience with GenAI s olutions and LLM-based applications.\n\nExperience with vector databases and embedding models.\n\nKnowledge of Retrieval-Augmented Generation (RAG) architectures.\n\nExperience with document intelligence and OCR solutions.\n\nKnowledge of Azure OpenAI services.\n\nExperience in automotive, mobility, retail, or dealer-network environments.\n\nFamiliarity with deployment strategies such as blue/green, canary, rolling, or shadow deployments.\n\nExperience supporting AI systems in regulated environments.\n\nSoft Skills\nOwnership mindset.\n\nAbility to translate business needs into technical solutions.\n\nCollaborative approach and strong stakeholder management skills.\n\nKnowledge-sharing attitude.\n\nContinuous learning mindset.\n\nEnglish Language Skills\nB2\n\nC1\n\nC2\n\nBenefits\nStable long-term cooperation with opportunity for extension\n\nOpportunity to work with modern technologies in an international environment\n\nProfessional growth and continuous development opportunities\n\nParticipation in challenging and impactful projects\n\nIf you're interested and meet the qualifications, please send your CV at ","description_format":"text","description_chars":3968,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":true}]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Bulgaria","iso":"BG","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"},{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-27T18:46:38Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":7,"reasons":["seen:0","agency","win:early"],"computed_at":"2026-09-28T02:38:57Z"},"pay":null,"html_url":"https://alion.io/job/dcv-technologies-aiml-engineer-remote","json_url":"https://alion.io/job/dcv-technologies-aiml-engineer-remote.json","meta":{"generated_at":"2026-09-28T02:38:57Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1380,"day_limit":5000,"remaining_today":3620,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}