AI Engineer
Tasks
- Deploy and manage models in production on Azure
- Design fine tune and deploy LLMs and AI models
- Develop AI integrations and APIs
- Ensure privacy compliance and ethical AI practices
- Implement MLOps monitoring retraining and version control
- Implement prompt engineering and RAG
- Manage training and inference data pipelines
- Optimize model efficiency and performance
- Perform model bias fairness and explainability audits
- Provide technical guidance on AI best practices
- Write tested documented Python code
Perks/Benefits
Skills/Tech-stack
Azure | CCPA | CI/CD | ChromaDB | Deep learning | Docker | Explainability | Faiss | Fine Tuning | GDPR | Generative AI | Hugging Face | Langchain | Language Models | Large Language Models | LoRA | MLOps | NLP | OpenAI API | PEFT | Pinecone | Prompt engineering | PyTorch | Python | RAG | RLHF | Retrieval-Augmented Generation | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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