Build, fine-tune, and deploy machine learning models for anomaly detection and predictive maintenance on industrial machinery.
Job Description
Join our core AI team to build edge-deployable predictive models. You will train models on historical sensor datasets, optimize model parameters for limited computing hardware, and work with IoT teams to run inference loops.
Key Responsibilities
- Design machine learning algorithms for time-series anomaly detection.
- Work with data engineering to clean and pre-process machinery telemetry.
- Integrate models with edge controller firmwares.
Requirements & Qualifications
- 5+ years of experience in AI/ML modeling and software engineering.
- Strong proficiency with Python, PyTorch, or TensorFlow.
- Solid understanding of time-series datasets.
Preferred Skills
Experience with C/C++, ROS, and edge computer architectures.