- Porto, Portugal
- Mid
- 3+ years
Versatile AI/ML Engineer bridging research and production, building scalable machine learning systems.
Responsibilities
- Design, develop, and implement end-to-end Machine Learning pipelines for training, testing, and deployment of predictive models.
- Work closely with Data Scientists to translate prototypes and models into scalable, production-grade code (MLOps).
- Develop robust, efficient, and well-documented code primarily using Python and relevant ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Implement monitoring and alerting solutions for models in production to track performance, detect drift, and ensure reliability.
- Collaborate with Data Engineers to ensure efficient data preparation, feature engineering, and access to necessary data infrastructure.
Requirements
- Advanced degree (M.S. or Ph.D.) in Computer Science, Engineering, or a related quantitative field.