Sr. AWS AI Engineer
Tasks
- Apply Retrieval-Augmented Generation techniques
- Collaborate with cross-functional teams to integrate AI capabilities
- Implement and fine tune pre trained AI models
- Optimize AI models for performance accuracy and efficiency
- Perform prompt engineering to improve model output
- Process and analyze data using AWS data services
- Reduce AI hallucination and improve model reliability
- Stay updated on AI technology trends
- Use AWS AI services for model development and deployment
- Use vector databases for similarity search
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS Glue | Agentic AI | Amazon Athena | Amazon Redshift | Amazon Rekognition | Amazon SageMaker | Convolutional Neural Networks | CrewAI | Deep learning | Feature Engineering | Kendra | Keras | Langchain | Langgraph | Machine Learning | Model Evaluation | Neural Networks | OpenAI | OpenSearch | PGVector | PostgreSQL | Prompt engineering | PyTorch | Python | RAG | Recurrent Neural Networks | Retrieval-Augmented Generation | Similarity Search | TensorFlow | Transformers | Vector similarity | Vector similarity search
Education
Roles
AI Engineer | AWS AI Engineer | Engineer | Senior AWS AI Engineer
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