Generative AI Consultant
Tasks
- Build scalable secure AI system architectures
- Build train fine tune and deploy AI models
- Collaborate with technical and non-technical stakeholders
- Create evaluation frameworks for model performance reliability fairness safety
- Design LLM and generative AI solutions
- Develop AI applications with responsible AI safeguards
- Develop agentic AI systems using frameworks
- Document processes and best practices
- Fine-tune large language models
- Implement Retrieval-Augmented Generation (RAG)
- Integrate and deploy models using MLOps
- Set up CI CD pipelines monitoring and versioning
Perks/Benefits
- 401k matching
- College loan repayment plan
- Company holidays
- Dental coverage
- Flexible spending account
- Flexible work schedule
- Gym reimbursement
- Healthcare coverage
- Life insurance
- LiveHealth online
- Paid time off
- Parental leave
- Vision coverage
- Well being coach
- Wellness programs
Skills/Tech-stack
AWS | Autogen | Azure | CI/CD | Chroma | Cloud platform | Deep learning | Docker | Fine Tuning | Git | Google Cloud | Google Cloud Platform | Hugging Face | Langchain | Langgraph | Language Models | Language Processing | Language Understanding | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Natural Language Understanding | OpenAI | OpenSearch | PGVector | Pinecone | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Vector embeddings
Education
Regions
Countries
States
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