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Machine Learning Engineer

Gecko RoboticsIndustrial Robotics company
PittsburghSenior
Data & AI
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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