Data & AI Solutions Architect
Tasks
- Build large language model solutions
- Build reference architectures
- Communicate technical findings to stakeholders
- Create and maintain model documentation
- Deploy and monitor machine learning models
- Design and develop AI prototypes
- Develop generative AI solutions
- Evaluate AI tools and technologies
- Fine-tune generative models
- Implement MLOps and LLMOps pipelines
- Integrate generative AI into workflows
- Optimize model performance and efficiency
- Troubleshoot generative AI implementations
Perks/Benefits
Skills/Tech-stack
AWS | Adversarial Networks | Azure DevOps | CI/CD | Data Preprocessing | Databricks | Feature Engineering | GCP | Generative AI | Generative Adversarial Networks | Infrastructure as Code | Keras | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | NLP | NLP for LLMs | Neural Networks | NoSQL | OpenAI API | PostgreSQL | PyTorch | Python | SQL | TensorFlow | Terraform | Transformers | “as-code”
Education
N/A
Roles
AI | AI Solutions | AI Solutions Architect | Architect | Solutions Architect
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