GenAI Engineer
Tasks
- Build end to end pipelines for training inference and evaluation
- Design fine tune deploy LLMs and generative AI models for production use cases
- Develop APIs and services to serve AI models
- Ensure scalability latency and security for AI solutions
- Implement prompt engineering RAG and model optimization
- Integrate generative AI capabilities into web mobile and enterprise applications
- Research and stay updated on generative AI LLMOps and ML infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Cloud Computing | Cloud platform | Containerization | Docker | Embeddings | Faiss | Fine Tuning | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | MLOps | Microservices | Microsoft Azure | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | REST APIs | Retrieval-Augmented Generation | TensorFlow | Transformer Models | Vector Databases | Weaviate
Education
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