MLOps Engineer
Tasks
- Build automated payout structure generation
- Design backend systems for payout automation
- Design experiment versioning and evaluation frameworks
- Develop split testing infrastructure
- Implement personalized payout algorithms
- Improve system reliability and performance
- Integrate real time data with ML pipelines
- Lead end to end delivery build deploy optimize
- Scale high performance Python services
- Set coding standards for Python development
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Clean Code | Cloud platform | Data Pipelines | Google Cloud | Google Cloud Platform | Machine Learning | Python | SQL | System design
Education
N/A
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