AI Engineer
Tasks
- Apply statistical and deep learning hybrid modeling
- Build RAG and Graph RAG systems
- Design multi-modal AI pipelines
- Develop and productionize transformer models
- Engineer state and memory management subsystems
- Establish LLMOps and MLOps pipelines
- Implement inference orchestration services
- Implement multi-agent intelligence frameworks
- Implement responsible AI practices
- Research benchmark and productionize multimodal transformer innovations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Neptune | Asynchronous programming | Autogen | BERT | Bias detection | CLIP | Computer Vision | CrewAI | Databricks | Distributed Systems | Explainability | Feature Store | Graph Neural Networks | Graph RAG | Hugging Face | LLMOps | LLaVA | Langgraph | MLOps | MLflow | NLP | Neo4j | Neural Networks | Prompt engineering | Prompt evaluation | PyTorch | Python | RAG | Responsible AI | SQL | T5 | TensorFlow | Text Analytics | Transformer Models | Vector Databases | Whisper
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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