AI/ML Engineer
Tasks
- Build AI agents and agent workflows
- Build and maintain data pipelines
- Define evaluation criteria and acceptance thresholds
- Design agent tool use with NOS data and interfaces
- Develop predictive and anomaly detection models
- Implement safety controls for AI outputs
- Monitor AI features in production
- Perform time series analysis of sensor and operational data
- Run regression suites and reproducibility checks
- Ship machine learning features in production
- Train fine tune and deploy ML and LLM workflows
Perks/Benefits
Skills/Tech-stack
AWS | Amazon Web Services | Anomaly Detection | CI/CD | Data Engineering | Data Modeling | Data Pipelines | Fine Tuning | Hugging Face | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Monitoring | Prompting | PyTorch | Python | RAG | Regression testing | Retrieval-Augmented Generation | SageMaker | Series analysis | Time Series | Time Series Analysis | Vertex AI | Web Services
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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