AI Engineer, Industrial
Tasks
- Apply large language models for decision support
- Build AI-enabled applications
- Collaborate cross functionally to deliver industrial value
- Create knowledge graphs and ontologies
- Develop data pipelines
- Develop machine learning solutions
- Document model governance and improvements
- Validate and monitor deployed models
Perks/Benefits
- 401k
- Annual bonus
- Dental insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Remote work
- Travel required
- Vacation
- Vision insurance
Skills/Tech-stack
API Development | Agentic AI | Anomaly Detection | Containers | Continuous Delivery | Continuous integration | Data Pipelines | Deep learning | Evaluation | Foundation Models | Graph Databases | Human-in-the-loop | Knowledge graphs | Language Models | Language Processing | Large Language Models | Machine Learning | Mathematical Optimization | Model Deployment | Model Monitoring | Multimodal AI | Natural Language | Natural Language Processing | Ontologies | Process control | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Modeling | Series forecasting | Software Engineering | Testing | The Loop | Time Series | Time Series Forecasting | Version control
Education
Roles
AI | AI Engineer | Engineer
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