Machine Learning Engineer

Sobre el puesto

Alongside is a Portuguese company that partners with international organizations to build and scale exceptional tech teams. We are looking for a Machine Learning Engineer to join a project with one of our clients, a global leader in professional information solutions and software. Operating across more than 180 countries, the company develops technology-driven solutions for industries including Healthcare, Tax & Accounting, Financial & Corporate Compliance, and Legal & Regulatory. Responsibilities: • 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. Requirements • 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 E2E 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. Nice to Have • Experience with Computer Vision, NLP, TensorFlow/PyTorch, Scikit-Learn, Pandas, Terraform/CloudFormation, asynchronous messaging, and ML monitoring/observability tools. Benefits • Hybrid working model: 2 days per week at the office (Porto); • Collaborative and international work environment; • Opportunity to work on impactful software products and transformation projects; • Exposure to modern technologies, tools, and development practices; • Opportunity to collaborate with experienced professionals across different countries and areas of expertise.

Publicada el 16 sept 2026