IA.NET Engineer

IA .
NET Engineer @ SyoneBack to all rolesIA .
NET EngineerJob detailsProfessional ServicesLisbon (Hybrid), Porto (Hybrid)Full-timeOn-siteWe 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.## What you will do:
* Design, develop and maintain backend services using C# and .
NET/.
NET Core.
* Build, train, fine-tune, evaluate and deploy Machine Learning models.
* Work with different types of models, including classification, regression, NLP, time-series, anomaly detection and deep learning.
* Develop ML pipelines using Python and frameworks such as PyTorch, TensorFlow or scikit-learn.
* Develop and integrate LLM-based solutions using GPT, Transformers, Hugging Face, RAG and prompt engineering.
* Deploy models through APIs, cloud endpoints and batch processing pipelines.
* Monitor model performance and data quality in production environments.
* Implement model versioning, experiment tracking and retraining processes.
* Design cloud-based architectures using Azure, AWS or equivalent platforms.
* Work with services such as Azure Machine Learning, Azure AI, AWS SageMaker, AWS Bedrock or Vertex AI.
* Containerise applications and ML services using Docker and Kubernetes.
* Contribute to CI/CD pipelines and MLOps practices.
* Ensure AI solutions meet security, privacy and governance requirements.
* Collaborate with Product Owners and cross-functional teams to deliver scalable software and AI solutions.
* Participate in code reviews, technical documentation and continuous improvement initiatives.## What you need to bring:
* Bachelor's or Master's degree in Computer Science, Engineering, Data Science or a related field.
* At least 5 years of professional software engineering experience.
* At least 5 years of hands-on experience with C# and .
NET/.
NET Core.
* At least 3 years of hands-on experience in Machine Learning, AI Engineering or Data Science.
* Strong Python skills for data processing, model development and ML pipelines.
* Proven experience building, training and deploying at least two different types of Machine Learning models beyond LLM and RAG applications.
* Practical experience with PyTorch, TensorFlow and/or scikit-learn.
* Experience with model evaluation, experiment tracking, model versioning and production monitoring.
* Experience deploying ML models using Azure, AWS or Google Cloud.
* Knowledge of Azure ML, Azure AI, AWS SageMaker, AWS Bedrock, Vertex AI or equivalent services.
* Experience with Docker, Kubernetes and CI/CD pipelines.
* Knowledge of MLOps practices and production model operations.
* Experience with NLP, LLMs, Transformers, Hugging Face or prompt engineering.
* Good understanding of API security, AI governance and data privacy.
* Experience with microservices, databases and backend systems.
* Fluent English.
* Experience working in Agile or Scrum teams. #J-18808-Ljbffr