Sr. AI engineer
Tasks
- Build and iterate AI driven MVPs
- Build training and deployment pipelines
- Debug optimize and resolve production ML incidents
- Design and scale ML architectures for high traffic
- Design machine learning infrastructure on AWS
- Develop machine learning models for credit risk
- Develop machine learning models for fraud detection
- Develop machine learning models for personalization
- Develop machine learning models for recommendation systems
- Enable cross functional teams to use AI ML capabilities
- Implement ML engineering and MLOps best practices
- Implement monitoring logging and alerting for ML
- Maintain model performance stability and reliability
- Mentor engineers and conduct code reviews
- Support end to end ML lifecycle operations
Perks/Benefits
- Career growth opportunities
- Collaborative engineering culture
- Continuous learning culture
- Fully remote
- High-impact projects
Skills/Tech-stack
AWS | AWS SageMaker | CI/CD | CloudWatch | Credit Risk | Data Warehousing | Docker | Fraud Detection | Golang | Grafana | Kafka | Kubernetes | MLOps | Machine Learning | Observability | Personalization | Prometheus | Python | Recommendation Systems | Relational databases | SQL | Spark
Education
N/A
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