Machine Learning Engineer

Sobre a vaga

Machine Learning Engineer to deploy models developed by Data Scientists into production environments. You will build ML-focused CI/CD pipelines and monitor production models. Work together with expert teams on projects of large magnitude and intensity, long term together with our clients.

O que vais fazer

• Deploy machine learning models developed by Data Scientists into production environments
• Build, maintain, and support ML-focused CI/CD pipelines
• Monitor production models, track performance, failures, and key metrics
• Implement monitoring and alerting solutions
• Develop clean, scalable, and testable Python code
• Collaborate closely with Data Scientists and Data Engineers
• Support model deployment and data transformation initiatives
• Optimize model performance, response times, and operational efficiency
• Manage production model lifecycles and deployments
• Contribute to building MLOps practices from the ground up
• Support automation initiatives for model retraining workflows
• Deploy and manage ML workloads on AWS, Azure, or GCP
• Build and maintain model-serving APIs using FastAPI or Flask
• Deploy and optimize ML solutions using Docker and Kubernetes

O que é pedido

• Machine Learning Engineer with 3+ years of professional experience
• Strong Python developer with experience in OOP, testing frameworks, and software design patterns
• Skilled in SQL and data manipulation
• Familiar with MLOps principles, Git versioning, pull requests, and code reviews
• Experienced with TensorFlow, PyTorch, and Scikit-learn
• Comfortable working with AWS, Azure, or GCP
• Experienced in CI/CD, Docker, Kubernetes, and production deployments
• Proactive problem-solver with strong ownership and accountability
• Collaborative professional able to work effectively across teams
• Adaptable and comfortable working in fast-paced, evolving environments
• Fluent in English (minimum B2 level)
• Available to work in a hybrid model (2 days/week in the Lisbon office)

O que é oferecido

• Wage according to candidate's professional experience
• Remote Work whenever possible
• Delivery of work equipment adjusted to the performance of functions
• Benefits plan
• And others

Resumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.