Senior AI Engineer (IoT Industrial/Signal & Predictive Maintenan

1.

AI Model Development (Predictive Maintenance) - Design and develop machine learning / deep learning models to predict equipment failures - Optimize models for scalability, performance, and accuracy in real-world environments 2.

Data Processing & Analysis - Work with time-series and industrial sensor data (vibration, temperature, pressure, etc.) - Perform data preprocessing, feature engineering, and exploratory analysis 3.

Deployment & Production - Deploy models into production environments with real-time capabilities - Monitor, maintain, and continuously improve model performance 4.

Research & Innovation - Stay updated with latest AI/ML advancements and academic research - Translate research ideas into practical, production-ready solutions 5.

Cross-functional Collaboration - Work closely with engineering teams on data pipelines and system improvements - Identify opportunities to apply AI within existing industrial workflows ✅

5+ years of experience in AI/ML Engineering - Strong hands-on experience in time-series analysis, anomaly detection, or failure prediction - Proficient in Python (or R/Java) - Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn - Familiarity with cloud platforms (AWS, GCP, Azure) - Solid understanding of signal processing / industrial data is highly preferred ⭐ Additional Strengths - Experience working with IoT or sensor data - Ability to read and apply academic research into real-world systems - Strong problem-solving skills with noisy, high-dimensional data ⭐ Nice to Have - Experience in industrial / manufacturing environments - Background in condition monitoring, fault diagnosis, or predictive maintenance - Experience designing experiments and validating ML models in production 🔥

remote fulltime

Career Path