Staff Machine Learning Engineer
Work At Home-Connecticut, United States
USD 106K-260K Senior-level Full Time
Tasks
- Architect rag retrieval augmented generation systems
- Build scalable machine learning systems
- Design build deploy generative AI applications
- Develop machine learning models and algorithms
- Ensure responsible ai compliance hipaa security
- Evaluate and monitor model performance
- Fine tune and operationalize models
- Implement data pipelines and feature engineering
- Implement vector search and vector databases
- Orchestrate agentic ai workflows with tools
Perks/Benefits
Skills/Tech-stack
AI Agent Builder | AWS Bedrock | AWS Lambda | AWS Step Functions | Agent Builder | Amazon EventBridge | Amazon SNS | Amazon SQS | Bedrock Agents | CI/CD | Chunking | Cloud Functions | Cloud PubSub | Cloud Run | Copilot Studio | Deep learning | Embedding | Event Driven | Event-driven architecture | Faiss | Fine Tuning | Google Cloud | Google Cloud Functions | Google Cloud PubSub | Google Cloud Run | Google Cloud Vertex | Google Cloud Vertex AI | Grounding | Java | Langchain | Langgraph | Language Processing | Latency optimization | Llamaindex | Microservices | Milvus | Model Evaluation | Model Fine-tuning | Model Monitoring | Natural Language | Natural Language Processing | Node.js | Observability | OpenSearch | PGVector | Pinecone | Power Automate | Predictive Modeling | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Serverless | Step Functions | Token optimization | Vector Databases | Vector Search | Vertex AI | Vertex AI Agent Builder
Education
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