Remote .NET & AI/ML Software Engineer

LUZA Group; Porto; Híbrido; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work whenever possible

Work equipment provided

Benefits plan

Career growth opportunities

Resumo da oferta

LUZA Group is seeking a senior AI/ML engineer to design, build and operate backend services in C#/.NET Core and deliver end-to-end ML solutions. You will prepare datasets, train models, and deploy them through cloud endpoints, APIs or batch pipelines while monitoring performance and data quality.

You will leverage PyTorch, TensorFlow or scikit-learn, work with Azure/AWS/Google Cloud, and apply MLOps and governance in a collaborative, agile environment. Remote work options apply.

Qualificações

• Solid software engineering background with modern backend and ML capabilities.
• Proven experience building, training and deploying ML models in production.
• Hands-on experience with cloud ML services and MLOps practices.

Responsabilidades

• Design, develop and maintain backend services with C#/.NET Core.
• Translate requirements into reliable AI/ML solutions and data pipelines.
• Build, train, evaluate ML models including NLP, time-series and vision.
• Develop production ML pipelines using Python and frameworks like PyTorch/TensorFlow.
• Deploy models via cloud endpoints, APIs or batch processes and monitor performance.
• Collaborate with cross-functional teams and mentor engineers.

Conhecimentos

Agile/Scrum

CI/CD practices

MLOps

NLP/LLMs

Python

Formação académica

Bachelor's or Master's in Computer Science / Engineering / Data Science

Ferramentas

PyTorch

TensorFlow

scikit-learn

Azure

AWS

Google Cloud

Azure ML

Azure AI

SageMaker

Docker

Kubernetes

Descrição da oferta de emprego

LUZA Group is seeking a senior AI/ML engineer to design, build and operate backend services in C#/.NET Core and deliver end-to-end ML solutions. You will prepare datasets, train models, and deploy them through cloud endpoints, APIs or batch pipelines while monitoring performance and data quality.

You will leverage PyTorch, TensorFlow or scikit-learn, work with Azure/AWS/Google Cloud, and apply MLOps and governance in a collaborative, agile environment. Remote work options apply.