AI Engineer
Tasks
- Build clinical reasoning systems
- Create REST and gRPC backend services
- Design and implement AI inference and training systems
- Develop explainable AI pipelines
- Develop scalable AI system architectures
- Implement distributed inference and training
- Integrate patient data and medical knowledge
- Optimize RAG pipelines
Perks/Benefits
Skills/Tech-stack
Asyncio | Cloud Computing | Context engineering | Distributed Training | Distributed inference | Docker | Efficient Fine Tuning | Embeddings | Fine Tuning | GRPC | Graph Databases | Knowledge graphs | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Model sharding | Natural Language | Natural Language Processing | Neo4j | Parallel Computing | Parameter efficient fine-tuning | Prompt engineering | Python | QLoRA | Quantization | RAG | REST APIs | System design | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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