Machine Learning Engineer Id27476

**What you will do**
- Develop efficient, clean, and maintainable Python code for machine learning pipelines, leveraging our in-house libraries and tools;
- Collaborate with the team on code reviews to ensure high code quality and adhere to best practices established in our shared codebase;
- Contribute to building and maintaining our MLOps infrastructure from the ground up, with a focus on extensibility and reproducibility;
- Take ownership of projects by gathering requirements, creating technical design documentation, breaking down tasks, estimating efforts, and executing with key performance indicators (KPIs) in mind;
- Optimize machine learning models for performance and scalability;
- Integrate machine learning models into production systems using frameworks like SageMaker;
- Stay up-to-date with the latest advancements in machine learning and MLOps;
- Assist in improving our data management, model tracking, and experimentation solutions;
- Contribute to...