beyond. is partnering with an industrial AI company to hire an AI/ML Engineer (immediate joiners preferred).
The company builds physics-informed machine learning solutions to predict equipment failures and improve reliability and energy efficiency across critical industrial sectors.
You'll work on:
- Build and deploy ML models for anomaly detection, fault classification, and predictive maintenance using sensor and time-series data.
- Own the ML lifecycle, from data preparation and model validation to production deployment.
- Build MLOps pipelines, model monitoring, and cloud/edge deployment systems.
- Work on physics-informed and hybrid ML models alongside the CTO and research partners.Requisitos
- strong ML fundamentals and hands-on experience shipping models to production
- expertise in Python, PyTorch/TensorFlow
- experience with time-series or anomaly detection
- experience with AWS/Azure
- experience with Docker, Kubernetes, CI/CD and MLOps
- high ownership and ability to build systems end to end in an early-stage environment
Diferenciais
- experience with sensor data
- experience with physics-informed ML
- experience with industrial systems