MLOps Research Engineer - Secure, Scalable ML Backend

Center for Responsible; Porto; Híbrido; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible hours

Work from home

Partial health insurance

Professional development

Resumo da oferta

Fraunhofer Portugal AICOS is seeking a talented MLOps engineer to join the Intelligent Systems group. You will contribute to the development of a robust ML backend for a platform that supports traceable and auditable ML pipelines and helps bridge research with real-world impact.

You will work on security-focused backend development, integration with experiment tracking, data transfer, and scalable deployment across Kubernetes clusters, collaborating with multidisciplinary teams to advance the

Qualificações

• Master’s degree or equivalent in Computer Science, Electrical and Computer Engineering, or related studies.
• Proficient in Python coding.
• Experience with microservices and containerization (Docker/Kubernetes) or willingness to learn.
• Knowledge of ML workflows and frameworks (scikit-learn, TensorFlow, Keras, PyTorch).
• Experience with AWS cloud computing.
• Experience with infrastructure-as-code tools like Terraform.
• Familiarity with MLOps tools such as Kubeflow, Metaflow, MLFlow, or similar.
• Knowledge of storage solutions like S3 and MinIO for data transfer and metadata storage.
• Excellent English communication skills.

Responsabilidades

• Continue developing the MLOps backend with focus on security and scalability.
• Integrate with experiment tracking and model storage tools.
• Handle data transfer and metadata storage.
• Streamline infrastructure configuration and deployment (including Kubernetes clusters).
• Contribute to a module registry for Python code modules that integrate with the backend.
• Maintain and improve the current codebase.
• Collaborate with other engineers to further develop the platform.

Conhecimentos

Python

Docker

Kubernetes

AWS

Terraform

ML frameworks

S3/MinIO

Formação académica

Master’s degree in Computer Science

Master’s degree in Electrical/Computer Engineering

Descrição da oferta de emprego

Fraunhofer Portugal AICOS is seeking a talented MLOps engineer to join the Intelligent Systems group. You will contribute to the development of a robust ML backend for a platform that supports traceable and auditable ML pipelines and helps bridge research with real-world impact.

You will work on security-focused backend development, integration with experiment tracking, data transfer, and scalable deployment across Kubernetes clusters, collaborating with multidisciplinary teams to advance the