Senior AI Engineer
Tasks
- Build RAG pipelines
- Deploy machine learning models in production
- Design machine learning systems for AI agents
- Ensure solutions are scalable and observable
- Evaluate agent performance
- Implement LLM agent frameworks
- Improve models using feedback loops
- Integrate agents into Workday platform
- Monitor model and agent systems
- Orchestrate agent workflows
Perks/Benefits
Skills/Tech-stack
AWS | Autonomous Agents | Deep learning | Evaluation | GCP | Graph Neural Networks | Language Models | Language Processing | Large Language Models | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Neural Networks | PyTorch | RAG | Supervised Learning | TensorFlow | Text Generation | Unsupervised Learning | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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