Senior Machine Learning Engineer
Freelance / Long term

About the Role
We are looking for a Senior Machine Learning Engineer to join our Data Science and Engineering team and help design, build, and scale machine learning solutions used in production.
This role is idóneo for an experienced engineer with a strong foundation in machine learning, deep learning, software engineering, and large-scale data systems. You will work closely with data scientists, ML engineers, and software engineers to take ML solutions from experimentation through production, building the pipelines, services, and infrastructure required to operate them reliably at scale.
The team works across a broad range of AI/ML problems, which may include predictive modeling, recommendation systems, computer vision, NLP, information retrieval, and emerging Generative AI applications.
- Minimum English Level: C1 Advanced
- Minimum Work Overlap: 5

What You'll Do

Design, develop, and productionize machine learning and deep learning models for real-world applications.




Build and optimize ML solutions using frameworks such as PyTorch and/or TensorFlow.
Develop end-to-end batch and real-time data pipelines for training, inference, and large-scale data processing.
Work with large structured and unstructured datasets, including feature engineering, data preparation, and model evaluation.
Design scalable ML architectures and services capable of processing and serving large volumes of data.
Build reliable, maintainable, and efficient production software primarily using Python and SQL.
Deploy and operate ML models and services in distributed cloud environments such as AWS, GCP, or Azure.
Collaborate with Data Scientists and Engineers to translate prototypes and research ideas into scalable production systems.
Contribute to system architecture, technical design, project planning, and engineering decisions.
Monitor and improve model and system performance, scalability, reliability, and maintainability.
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