Sr. AI engineer
Tasks
- Build MLOps pipelines to automate model lifecycle
- Collaborate with product teams on AI driven MVPs
- Conduct code reviews and mentor team members
- Create monitoring and alerting for machine learning models
- Deploy machine learning models using AWS SageMaker
- Design scalable machine learning infrastructure on AWS
- Develop machine learning models for recommendations fraud detection and credit risk
- Enable departments to use AI and generative AI models
- Provide production support and incident resolution for ML models
- Scale machine learning architecture for user growth
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CloudWatch | Amazon SageMaker | Apache Spark | CI/CD | Credit Risk | Data Warehousing | Docker | Fraud Detection | Generative AI | Golang | Grafana | Kafka | Kubernetes | MLOps | Machine Learning | Prometheus | Python | Recommendation Systems | Relational databases | SQL
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Master of Science | PhD
Roles
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