Generative AI Consultant
Tasks
- Build generative AI application prototypes
- Collaborate with cross-functional stakeholders
- Create evaluation frameworks for model performance and safety
- Deploy models with cloud based AI services
- Design LLM and generative AI systems
- Develop and fine-tune large language models
- Develop semantic search using vector embeddings
- Document processes and best practices
- Ensure responsible AI, security and compliance
- Implement MLOps pipelines and monitoring
- Implement Retrieval-Augmented Generation architectures
- Integrate models into applications and production systems
Perks/Benefits
- 401k matching
- Cell phone stipend
- College loan repayment plan
- Dental insurance
- Flexible spending account
- Gym reimbursement
- Healthcare coverage
- Life insurance
- Paid time off
- Parental leave
- Pre-tax Transit Account
- Vision insurance
- Wellness programs
Skills/Tech-stack
AI Services | AWS | Azure | CI/CD | Chain-of-Thought | Chroma | Cloud AI | Cloud AI services | Cloud platform | Deep learning | Docker | Fine Tuning | Git | Google Cloud | Google Cloud Platform | LLM | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Context Protocol | Monitoring | NLP | NLP/NLU | Natural Language | Natural Language Processing | OpenSearch | PGVector | Pinecone | Prompt engineering | PyTorch | Python | RAG | React | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Vector Databases | Vector embeddings
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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