Lead Applied AI & Machine Learning Engineer
Plano, TX, United States
USD 177K-215K (estimate) Senior-level Full Time
Tasks
- Build and maintain pipelines for model training evaluation optimization monitoring and MLOps
- Build generative AI solutions in Python from proof of concept to production
- Create scalable ontologies with business entities relationships rules and constraints
- Define semantic integration patterns across data pipelines APIs and data contracts
- Design context engineering for improved model accuracy latency reliability and user experience
- Enable intelligent workflows and AI agents using semantic reasoning and orchestration
- Establish and govern a unified semantic layer for trusted analytics
- Implement responsible AI practices and model risk controls
- Lead enterprise semantic modeling strategy
- Mentor engineers and data scientists and improve engineering rigor
Perks/Benefits
- N/A
Skills/Tech-stack
API | Agentic AI | Bias Testing | Continuous integration | Data Contracts | Data Pipelines | Explainability | Generative AI | Inference | Knowledge graphs | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Ontology | Python | Real Time | Real-time Systems | Responsible AI | Retrieval-Augmented Generation | Semantic Modeling | Semantic Reasoning | Time Systems | Unit Testing
Education
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