Senior 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

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 .

Qualifications & 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.

Hybrid Working Model:

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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