Senior ML Engineer: End-to-End Pipelines & MLOps (Hybrid)

Alongside; Porto; Híbrido; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

International work environment

Impactful projects

Resumo da oferta

Alongside in Portugal is seeking a Senior Machine Learning Engineer to join a global client project. You will design, implement, and maintain end-to-end ML pipelines, deploy ML services via APIs, and collaborate with Data Scientists to productionize models.

You'll work with AWS SageMaker, Docker, and Kubernetes in a hybrid setup (Porto office 2 days/week). The role requires 5+ years of backend/ML experience and strong Python skills, plus fluency in English and excellent communication.

Qualificações

• Degree in Computer Engineering, IT, or a related field.
• 5+ years of experience in Backend Engineering and/or Machine Learning Engineering.
• Strong production-level Python development skills.
• Hands-on experience building end-to-end ML pipelines and deploying ML models through APIs.
• Experience with SQL/NoSQL databases, testing frameworks, and data/code quality practices.
• Experience with MLOps tools such as MLflow, Kubeflow, or similar.
• Strong knowledge of AWS, particularly SageMaker and related ML services.
• Experience with Docker and Kubernetes.
• Strong understanding of ML model deployment and lifecycle management.
• Fluent English and strong communication and technical decision-making skills.

Responsabilidades

• Design, develop, and maintain scalable data and end-to-end ML pipelines, from data ingestion to production deployment.
• Build and deploy ML services and APIs, ensuring reliability, scalability, and performance.
• Partner with Data Scientists to transform models into robust, production-ready solutions.
• Implement MLOps best practices, including CI/CD, testing, data/code quality, monitoring, and model lifecycle management.
• Troubleshoot production ML systems and drive technical and architectural decisions.
• Work with AWS ML services, particularly SageMaker, and containerized environments using Docker/Kubernetes.
• Contribute to GenAI implementations within our platform framework.
• Mentor team members and contribute to delivery in an Agile/Scrum environment.

Conhecimentos

Python

ML pipelines

Fluent English

Formação académica

Bachelor's degree in Computer Engineering, IT, or related field

Ferramentas

AWS SageMaker

Docker

Kubernetes

MLflow

Kubeflow

Descrição da oferta de emprego

Alongside in Portugal is seeking a Senior Machine Learning Engineer to join a global client project. You will design, implement, and maintain end-to-end ML pipelines, deploy ML services via APIs, and collaborate with Data Scientists to productionize models.

You'll work with AWS SageMaker, Docker, and Kubernetes in a hybrid setup (Porto office 2 days/week). The role requires 5+ years of backend/ML experience and strong Python skills, plus fluency in English and excellent communication.