C2 SMART Lead AI Engineer
Tasks
- Apply Retrieval Augmented Generation
- Architect models for constrained hardware
- Automate ML and LLM deployment
- Build AI interfaces for chatbots and dashboards
- Build and deploy large language models
- Define and drive end to end model scoring pipelines
- Define edge vs core processing strategy
- Deploy machine learning models with monitoring
- Design build deploy AI solutions
- Develop generative AI and traditional AI platforms
- Develop optimize NLP systems
- Implement feedback loops for model optimization
- Lead AI use case delivery
- Optimize scoring pipeline for AI models
- Provide SME guidance on model training and deployments
- Standardize model consumption and data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
API Architecture | API Design | Amazon Bedrock | Artificial Intelligence | Azure Machine Learning | Cloud Computing | Deep learning | Edge Computing | Entity Extraction | Feature Selection | Generative AI | Hyperparameter Tuning | Intent detection | JSON | Kafka | Language Models | Language Processing | Large Language Models | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | On-device Inference | Orchestration | Retrieval-Augmented Generation | Text Classification | Vertex AI
Education
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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