Engineer I, Artificial Intelligence
Tasks
- Build Python pipelines
- Collaborate with domain experts
- Create data pipelines
- Deploy AI ML models as services or APIs
- Design Agentic AI systems
- Develop LLM driven workflows
- Develop scientific machine learning models
- Document reusable solutions
- Implement model and agent monitoring
- Integrate agents with data APIs and tools
- Perform evaluation and validation
- Preprocess and extract features
- Process time series and spatial data
- Visualize data and model outputs
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic AI | Data Pipelines | Evaluation | Language Models | Large Language Models | Machine Learning | Model Deployment | Monitoring | NumPy | Pandas | PyTorch | Python | SciPy | Scikit-learn | Simulation Workflows | Spatial data | TensorFlow | Time Series | Time Series Processing | Tool-Calling | Validation | Workflow Orchestration
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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