Senior / Mid AI Engineer - Time Series
Tasks
- Balance model complexity and inference performance
- Build water leakage and anomaly detection models
- Collaborate with engineers on model design and experimentation
- Coordinate with MLOps to deploy production ready models
- Design train and evaluate time series models
- Establish standards for experimentation and evaluation
- Evaluate new approaches and determine implementation value
- Improve robustness to noise and drift
- Optimize training and inference performance
- Review approaches and provide technical mentorship
- Support model monitoring and scaling
- Translate research into production experiments
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Data Analysis | IoT | MLOps | Machine Learning | Model Evaluation | Model Optimization | Model Training | PyTorch | Python | Series analysis | Signal Processing | TensorFlow | Time Series | Time Series Analysis
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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