- Design, build and maintain robust data pipelines that support machine learning and analytical workloads.
- Develop and operate endtoend ML data pipelines, enabling model training, scoring and deployment at scale.
- Collaborate with data scientists to translate models into productionready data and ML engineering solutions.
- Apply solid software engineering practices across data and ML pipelines, including testing, version control and CI/CD.
- Ensure data and ML solutions meet nonfunctional requirements such as performance,
scalability, security and data quality.
- Contribute to design and tooling decisions for ML and data platforms, aligning with enterprise standards and patterns.
- Take ownership of assigned deliverables, supporting production stability, monitoring and continuous improvement.
- Core Skills: Python, Machine Learning, DBT, Big Query, GCP