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 . - 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. - 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.

Machine Learning Engineer

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