Build, fine-tune, and deploy machine learning models for anomaly detection and predictive maintenance on industrial machinery.

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.

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
- 5+ years of experience in AI/ML modeling and software engineering.
- Solid proficiency with Python, PyTorch, or TensorFlow.
- Solid understanding of time-series datasets.

Preferred Skills
- Experience with C/C++, ROS, and edge computer architectures.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI/ML Engineer (Ghaziabad)
🏢 VAQUANT TECHNOLOGY
📍 Ghaziabad