AI .NET Engineer - ML & Cloud Backend (Hybrid)

Deel

Lisboa

Hybrid

EUR 70,000 - 90,000

Full time

8 days ago

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Job summary

Syone in Lisbon (Hybrid) and Porto (Hybrid) is seeking a .NET AI Engineer to join a Framework and Research team. You will design, develop and maintain backend services using C# and .NET/.NET Core, and build, train, fine-tune, evaluate and deploy ML models.

You will work with PyTorch, TensorFlow and scikit-learn, and deploy models through APIs and cloud endpoints. You will design cloud architectures using Azure/AWS, containerize with Docker and Kubernetes, and contribute to CI/CD and MLOps

Qualifications

  • BS/MS in CS/Engineering/Data Science or related field.
  • 5+ years of professional software engineering experience.
  • 3+ years in Machine Learning/AI engineering or data science.
  • Strong Python for data processing and ML pipelines.
  • Experience deploying ML models on cloud platforms.

Responsibilities

  • Design, develop and maintain backend services with C#/.NET Core.
  • Build, train, evaluate and deploy ML models and pipelines.
  • Develop ML workflows with PyTorch, TensorFlow or scikit-learn.
  • Integrate LLM-based solutions and deploy via APIs and cloud endpoints.
  • Collaborate with cross-functional teams in an Agile environment.

Skills

C#
.NET Core
Python
ML/DL development
PyTorch/TensorFlow/Scikit-learn
API design
Docker
Kubernetes
Azure
AWS
English fluency

Education

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

Tools

Docker
Kubernetes
Azure
AWS
GCP
CI/CD

Job description

Syone in Lisbon (Hybrid) and Porto (Hybrid) is seeking a .NET AI Engineer to join a Framework and Research team. You will design, develop and maintain backend services using C# and .NET/.NET Core, and build, train, fine-tune, evaluate and deploy ML models.

You will work with PyTorch, TensorFlow and scikit-learn, and deploy models through APIs and cloud endpoints. You will design cloud architectures using Azure/AWS, containerize with Docker and Kubernetes, and contribute to CI/CD and MLOps

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