Senior Applied AI Engineer
Tasks
- Apply responsible AI practices
- Architect scalable AI platforms
- Automate grid planning workflows
- Build agent-based systems
- Build generative AI applications
- Collaborate with operations planning markets and IT
- Create decision support systems
- Design and deploy AI solutions
- Develop AI ML models for power systems
- Develop data pipelines and ML workflows
- Monitor and manage ML models
- Prototype and deliver production AI systems
- Use cloud for simulations and AI workloads
Perks/Benefits
- Employee assistance program
- Flexible work hours
- Hybrid work environment
- Onsite gym
- Professional development
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
Agent systems | Agent-based | Agent-based systems | Amazon Web Services | Artificial Intelligence | CI/CD | Cloud Computing | Cloud platform | Data Pipelines | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Python | Retrieval-Augmented Generation | Version control | Web Services
Education
Regions
Countries
States
Cities
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