AI Solutions Architect
Tasks
- Architect end to end AI model pipelines
- Collaborate on AI technical requirements and approaches
- Deploy and monitor AI models in production
- Design AI architectures
- Develop APIs and microservices for AI capabilities
- Ensure performance reliability security scalability
- Establish model training and inference pipelines
- Guide LLM application architecture decisions
- Implement data governance and privacy practices
- Implement ethical AI best practices
- Integrate AI platforms with enterprise applications
- Mentor engineering teams and drive AI strategy
- Oversee scalable generative AI system development
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Convolutional Neural Networks | Data Governance | Distributed Systems | Docker | Fine Tuning | GPU Acceleration | Generative AI | Google Cloud | Kubernetes | LLM Fine-tuning | LLMOps | MLOps | Machine Learning | Microservices | Microsoft Azure | Model Deployment | Model Inference | Model Monitoring | Model Training | Neural Networks | Privacy Compliance | Prompt engineering | Quantization | RESTful APIs | Recurrent Neural Networks | Scalable Architecture | Transformers
Education
N/A
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