Alongside is a Portuguese company that partners with international organizations to build and scale exceptional tech teams.
About the role
We are looking for a Senior 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
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.