Generative AI Consultant
Tasks
- Build benchmarking prototyping and validation
- Create evaluation and responsible AI frameworks
- Create solution architecture support
- Design and build LLM systems
- Develop genai applications
- Fine tune and deploy generative models
- Implement CI/CD pipelines and monitoring
- Implement retrieval-augmented generation
- Integrate and deploy models with MLOps
- Integrate with external APIs and tools
- Optimize prompts and guardrails
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Chroma | Cloud platform | Docker | Fine Tuning | Git | Google Cloud | Google Cloud Platform | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | Monitoring | Natural Language | Natural Language Processing | OpenSearch | PGVector | Pinecone | Prompt engineering | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Vector Databases | Vector embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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