AI Engineer
Tasks
- Build and maintain end-to-end ML pipelines
- Collaborate with stakeholders to translate requirements into AI solutions
- Design and deploy LLM-powered applications
- Develop generative AI solutions
- Ensure scalability reliability and security in cloud environments
- Implement prompt engineering finetuning and evaluation
- Integrate AI solutions with enterprise systems via APIs and microservices
- Train deploy and monitor ML models
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Cloud platform | Docker | Faiss | FastAPI | Flask | Google Cloud | Google Cloud Platform | Hugging Face | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Microservices | Model Evaluation | Pinecone | Prompt engineering | PyTorch | Python | RAG | Retrieval systems | TensorFlow | Vector Databases | Vertex AI
Education
N/A
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