Offer summary
Qualifications:
Proficient in Python and ML stack, Experienced with cloud platforms like GCP, AWS, or Azure, Knowledge of CI/CD for ML and containers, Familiarity with Hadoop ecosystem and Airflow, Strong business communication skills in English.
Key responsabilities:
- Communicate requirements with stakeholders
- Guide teams on ML systems production lifecycle
- Collaborate on operationalization strategies
- Implement end-to-end production pipelines for ML
- Support and enhance ML software infrastructure