Machine Learning Engineer

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

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