Machine Learning Engineer

Alongsideis a Portuguese company that partners with international organizations to build and scale exceptional tech teams.

We are looking for aMachine Learning Engineerto 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 includingHealthcare, Tax & Accounting, Financial & Corporate Compliance, and Legal & Regulatory.

Responsibilities:

• Design, develop, and maintain scalabledata and end-to-end ML pipelines, from data ingestion to production deployment.
• Build and deployML services and APIs, ensuring reliability, scalability, and performance.
• Partner with Data Scientists to transform models into robust, production-ready solutions.
• ImplementMLOps 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 withAWS ML services, particularly SageMaker, and containerized environments using Docker/Kubernetes.
• Contribute toGenAI implementationswithin our platform framework.
• Mentor team members and contribute to delivery in anAgile/Scrum environment.

Requirements

• Degree in Computer Engineering, IT, or a related field.
• 5+ years of experiencein Backend Engineering and/or Machine Learning Engineering.
• Strong production-levelPythondevelopment skills.
• Hands-on experience buildingE2E ML pipelinesand deploying ML models through APIs.
• Experience withSQL/NoSQL databases, testing frameworks, and data/code quality practices.
• Experience withMLOps toolssuch as MLflow, Kubeflow, or similar.
• Strong knowledge ofAWS, particularly SageMaker and related ML services.
• Experience withDocker 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 withComputer 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.