{"id":3478051,"url":"https://alion.io/job/syone-ia-net-engineer","title":"IA .NET Engineer","company":{"id":2555720,"name":"Syone","domain":"syone.com","url":"https://alion.io/company/syone","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Deel","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":89000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Agile","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Scrum","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"Transformers","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-29T15:43:17Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-29T23:55:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a .NET AI Engineer to join a Framework and Research team responsible for developing shared services and technical components used across multiple product areas.\nWhat you will do:\nDesign, develop and maintain backend services using C# and .NET/.NET Core.\n\nBuild, train, fine-tune, evaluate and deploy Machine Learning models.\n\nWork with different types of models, including classification, regression, NLP, time-series, anomaly detection and deep learning.\n\nDevelop ML pipelines using Python and frameworks such as PyTorch, TensorFlow or scikit-learn.\n\nDevelop and integrate LLM-based solutions using GPT, Transformers, Hugging Face, RAG and prompt engineering.\n\nDeploy models through APIs, cloud endpoints and batch processing pipelines.\n\nMonitor model performance and data quality in production environments.\n\nImplement model versioning, experiment tracking and retraining processes.\n\nDesign cloud-based architectures using Azure, AWS or equivalent platforms.\n\nWork with services such as Azure Machine Learning, Azure AI, AWS SageMaker, AWS Bedrock or Vertex AI.\n\nContainerise applications and ML services using Docker and Kubernetes.\n\nContribute to CI/CD pipelines and MLOps practices.\n\nEnsure AI solutions meet security, privacy and governance requirements.\n\nCollaborate with Product Owners and cross-functional teams to deliver scalable software and AI solutions.\n\nParticipate in code reviews, technical documentation and continuous improvement initiatives.\n\nWhat you need to bring:\nBachelor's or Master's degree in Computer Science, Engineering, Data Science or a related field.\n\nAt least 5 years of professional software engineering experience.\n\nAt least 5 years of hands-on experience with C# and .NET/.NET Core.\n\nAt least 3 years of hands-on experience in Machine Learning, AI Engineering or Data Science.\n\nStrong Python skills for data processing, model development and ML pipelines.\n\nProven experience building, training and deploying at least two different types of Machine Learning models beyond LLM and RAG applications.\n\nPractical experience with PyTorch, TensorFlow and/or scikit-learn.\n\nExperience with model evaluation, experiment tracking, model versioning and production monitoring.\n\nExperience deploying ML models using Azure, AWS or Google Cloud.\n\nKnowledge of Azure ML, Azure AI, AWS SageMaker, AWS Bedrock, Vertex AI or equivalent services.\n\nExperience with Docker, Kubernetes and CI/CD pipelines.\n\nKnowledge of MLOps practices and production model operations.\n\nExperience with NLP, LLMs, Transformers, Hugging Face or prompt engineering.\n\nGood understanding of API security, AI governance and data privacy.\n\nExperience with microservices, databases and backend systems.\n\nFluent English.\n\nExperience working in Agile or Scrum teams.\n\nBy applying, you accept our GDPR policies. Your personal data in your CV and documents will be used solely for processing your application at SYONE. SYONE, S.A. (NIPC 504729624) is the data controller, located at Rua Alfredo da Silva, 8-A, Edifício Stern, Piso 3D, 2610-016 Amadora. We will use your data to tailor your application to relevant vacancies and for potential employment contracts. If selected, your data will be kept during your employment and for at least two years after. If not selected, your data will be kept for two years for future vacancies and then deleted, except for your contact details. You can exercise your rights (access, rectification, erasure, etc.) by emailing . Your data may be shared with our HR service providers and will be stored securely. You can withdraw your consent at any time. We will not use your data for other purposes without your express consent. 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