AI/ML Engineer
Responsibilities • Design, develop, and deploy end-to-end AI/ML solutions, including data ingestion, feature engineering, model training, deployment, monitoring, and lifecycle management. • Build scalable, cloud-native AI/ML applications and services using AWS technologies such as SageMaker, ECS, Lambda, S3, EventBridge, and Step Functions. • Develop and maintain machine learning, data engineering, and MLOps pipelines supporting batch and real-time workloads. • Design and...
- AWS
- Machine Learning
- Generative AI
- Risk Management
- ETL
- Python
- CI/CD
- Docker
- Kubernetes
- Kafka