Generative AI Consultant
Tasks
- Build and fine-tune LLMs
- Conduct model evaluation
- Create prompts and guardrails
- Deploy models to production
- Design LLM and GenAI solutions
- Develop genai applications
- Document methods and best practices
- Ensure responsible AI and compliance
- Implement RAG architectures
- Integrate models with APIs and systems
- Set up MLOps pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autogen | Azure | CI/CD | Cloud deployment | Cloud platform | Deep learning | Docker | Fine Tuning | Generative AI | Git | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | NLP | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Vector embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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