Generative AI Consultant
Tasks
- Architect GenAI applications and integrations
- Collaborate with cross-functional teams and stakeholders
- Deploy and integrate models in cloud production environments
- Design build train fine tune and deploy LLM solutions
- Develop GenAI powered applications using models and APIs
- Document processes and best practices
- Ensure responsible AI, security and compliance
- Evaluate model performance reliability fairness and safety
- Implement MLOps pipelines including CI CD versioning monitoring
- Implement Retrieval-Augmented Generation architectures
- Perform prompt engineering and guardrail design
- Select and fine-tune LLMs
Perks/Benefits
- 401k match
- Cell phone stipend
- College loan repayment plan
- Dental coverage
- Flexible spending account
- Gym reimbursement
- Healthcare coverage
- Life insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision coverage
- Wellness programs
Skills/Tech-stack
AI Services | AWS | AWS AI | AWS AI Services | Azure | CI/CD | Cloud platform | Docker | Fine Tuning | Git | Google Cloud | Google Cloud Platform | Hugging Face | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Model Context Protocol | NLP | NLP/NLU | OpenAI | Prompt engineering | PyTorch | Python | 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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