Gen AI Machine Learning Engineer
Tasks
- Apply responsible AI governance principles
- Architect agentic workflows and RAG systems
- Build and integrate generative AI applications
- Build scalable APIs and backend services for AI inference
- Create and manage chatbots and conversational workflows
- Design and deploy solutions on AWS Bedrock
- Document solutions and collaborate with engineering and product teams
- Fine-tune and evaluate large language models
- Implement testing and monitoring for reliability privacy and accuracy
- Integrate generative AI for document processing and claims decisioning
- Track industry trends and recommend improvements
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent framework | AI gateway | AWS Bedrock | Adversarial Red Teaming | Agent Framework | Agentic Workflows | Databricks | DeepTeam | Distributed Training | Distributed training pipelines | Fine Tuning | Generative AI | Guardrails AI | JAX | LLM Evaluation | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Mosaic AI | Mosaic AI Agent Framework | Mosaic AI Gateway | Multimodal AI | NLP | Prompt engineering | PyTorch | Python | RAG | Red Teaming | Training pipelines | Transformers | Vector Databases | Vector Search
Education
N/A
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