Principal Machine Learning Engineer (Remote)
Tasks
- Build credit risk assessment models
- Build fraud detection models
- Build personalized recommendation systems
- Collaborate with product teams on AI MVPs
- Create monitoring and alerting for ML models
- Debug and resolve ML production issues
- Deploy machine learning models on AWS
- Design scalable ML architecture for user growth
- Design scalable machine learning infrastructure
- Develop machine learning models for fintech
- Develop real-time data processing pipelines
- Enable AI and ML usage across departments
- Implement MLOps automation
- Mentor team members and conduct code reviews
- Provide production support and incident response
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CloudWatch | Amazon SageMaker | Apache Spark | Artificial Intelligence | CI/CD | Credit Risk | Data Mining | Data Warehousing | Docker | Fraud Detection | Golang | Grafana | Kafka | Kubernetes | Machine Learning | Observability | Pattern Recognition | Prometheus | Python | Recommendation Systems | Relational databases | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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