Lead Data Scientist - Gen AI & Digital Twin

What you'll do

• Design and implement GPU-accelerated machine learning models for anomaly detection in timeseries sensor data.
• Develop onboard digital twins using NVIDIA architecture to simulate and optimize heavy machinery performance.
• Profile and tune deep learning algorithms for efficiency on NVIDIA GPUs, ensuring real-time monitoring capabilities.
• Adapt and test algorithms for onboard edge processing architectures like NVIDIA Jetson for Cat equipment.
• Use high-fidelity digital twins to simulate rare failure scenarios for accurate troubleshooting with GenAI assistants.
• Develop Generative AI agents that synthesize telematics data to generate prioritized repair recommendations for machine faults.

What we're looking for

• Extensive experience in Python programming for data analysis and machine learning.
• Deep understanding of anomaly detection, time-series analysis, and predictive maintenance models.
• Proficiency in fine-tuning and prompt engineering for large language models (LLMs).
• Experience with high-performance computing on NVIDIA GPU architectures.
• Strong background in advanced data analysis techniques and statistical methods.
• Working knowledge of cloud technologies and version control systems like GitHub.
• Bachelor’s or higher degree in a relevant technical field such as Data Science or Engineering.