Lead Data Scientist – Gen AI for Condition Monitoring Analytics
Chicago, Illinois, United States
USD 128K-208K Senior-level Full Time
Tasks
- Build onboard digital twins using NVIDIA architecture
- Deliver monthly program status updates to stakeholders
- Deploy and test algorithms on edge devices using NVIDIA Jetson
- Design GPU accelerated anomaly detection models
- Develop generative AI agents for prioritized repair recommendations
- Develop generative AI assisted predictive maintenance models
- Orchestrate multi modal data for machine specific AI context
- Perform hardware software co design for onboard compute
- Provide technical leadership for complex projects
- Tune deep learning models for NVIDIA GPUs
- Use digital twins to simulate rare failure scenarios
Perks/Benefits
- 401k savings plan
- Career development
- Employee assistance program
- Flexible spending accounts
- Health Lifestyle Programs
- Health savings account
- Paid time off
- Parental leave
- Tuition reimbursement
Skills/Tech-stack
Adversarial Networks | Agile | Anomaly Detection | Autoencoders | CAN J1939 | Data orchestration | Deep learning | Digital Twin | Edge Computing | Fine Tuning | GPU Computing | Generative AI | Generative Adversarial Networks | Git | High Performance | High-Performance Computing | IoT Sensor Data | Language Models | Large Language Models | Machine Learning | Multi-Modal | Multi-modal data | NVIDIA CUDA | NVIDIA Jetson | NumPy | Pandas | Performance Computing | Predictive Maintenance | Prompt engineering | Python | Raspberry Pi | Retrieval-Augmented Generation | SciPy | Sensor data | Series analysis | Telematics | Time Series | Time Series Analysis | XGBoost
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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