Luza Tecnologia
A company integrated into the Cronos Group, with over 500 companies, 7,500 employees, 10,000 clients, and offices in 10 countries, this organization is a catalyst in translating new technologies into business solutions, always in close collaboration with the client. Luza specializes in Microsoft Modern Workplace, Dynamics 365, Azure, and Power Platform.
About company 
Lisbon
October 18, 2026
Full-time
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
Benefícios e vantagens
- Apoio ao home-office
- Cantina
- Comida, fruta e bebida
- Flexibilidade de horário
- Ginásio & atividades desportivas
- Prémios de performance
- Seguro de saúde
- Suporte psicológico
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