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About the role
Develop and deploy ML models for critical infrastructure analysis.
- •Gecko Robotics is seeking a Machine Learning Engineer to develop and deploy ML models using unique datasets for critical infrastructure analysis.
- •This role involves pioneering novel ML models that interpret complex sensor data from robotic inspection platforms.
- •Key Responsibilities Design, develop, and deploy sophisticated machine learning models for non-destructive evaluation.
- •Lead research and implementation of physics-based machine learning models.
- •Process and interpret large-scale, unconventional datasets.
- •Collaborate with cross-functional teams to integrate ML solutions into the data platform.
- •Own the end-to-end lifecycle of ML projects.
- •Requirements Bachelor's degree in Computer Science or equivalent practical experience. 5+ years of professional engineering experience, with at least 3+ years in a dedicated machine learning role.
- •Strong practical knowledge of ML algorithms, especially for time-series analysis and anomaly detection.
- •Proficiency in Python and at least one major ML framework (e.g., PyTorch, TensorFlow).
Tech stack
PythonTensorFlowPyTorchscikit-learn
Match insights
Tech:Python, TensorFlow, PyTorch, scikit-learn
Level:Senior