AI Engineer
Tasks
- Apply NLP to unstructured maintenance data
- Build generative ai rag pipelines
- Create vector databases and feature stores
- Design machine learning models
- Develop end-to-end ML pipelines
- Document model design for government review
- Implement MLOps workflows in AWS
- Manage model governance and versioning
- Monitor bias and drift
- Support proposals demonstrations pilots
- Train evaluate deploy monitor models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS GovCloud | AWS Lambda | AWS SageMaker | AWS Step Functions | Amazon ECS | Amazon EKS | Amazon S3 | Bias monitoring | CI/CD | Data Ingestion | Docker | Drift monitoring | Embeddings | Entity Extraction | Experimentation Methodology | Feature Engineering | Hugging Face | Human-in-the-loop | IAM | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | OpenSearch | PGVector | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Semantic Search | Statistics | Step Functions | TensorFlow | Text Classification | Text Summarization | The Loop | Vector Databases | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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