Senior AI Research Scientist- Time-Series Foundational Models
Tasks
- Architect multi modal deep learning models
- Design timeseries foundation models
- Develop AI research projects
- Enhance context understanding with videos and images
- Integrate timeseries models with auxiliary modalities
- Label predict classify cluster describe fuse multi sensor data
- Lead AI research projects
- Provide technology insights to management
- Publish research findings
- Submit patent applications
- Validate timeseries foundation models
Perks/Benefits
Skills/Tech-stack
Agentic AI | Computer Vision | Data Generation | Data-Centric AI | Data-centric | Deep learning | Experiment tracking | Git | High Performance | High-Performance Computing | Language Processing | MLflow | Machine Learning | Multi-Modal | Multi-Modal Learning | Multivariate Time Series | Natural Language | Natural Language Processing | Performance Computing | PyTorch | PyTorch Lightning | Python | Series analysis | Signal Processing | Slurm | Synthetic Data Generation | Synthetic data | Time Series | Time Series Analysis | TorchAudio | TorchMetrics | Torchvision | Version control
Education
Regions
Countries
States
Cities
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