Senior AI Engineer
Tasks
- Adapt train and integrate machine learning models
- Deploy and serve ML models on Vertex AI
- Design proof of concept system
- Perform signal processing on time series data
- Process spatial data for vessel detection
- Train and fine-tune deep learning models
- Validate machine learning feasibility on DAS data
Perks/Benefits
- Flexible work model
- Great offices
- Hybrid work model
- Language classes
- Laptop and gear
- Private health insurance
- Social events
- Training
- Wellbeing programs
Skills/Tech-stack
AI Workbench | Acoustic sensing | Automatic Identification System | Cloud Run | Cloud Workstations | Cloud platform | Computer Vision | DINO | Deep learning | Distributed acoustic sensing | Feature extraction | Google Cloud | Google Cloud Platform | Google Cloud Workstations | H3 | Image classification | MLflow | PostGIS | PostgreSQL | PyTorch | Python | Signal Processing | Time Series | Vertex AI | Vertex AI Workbench | Vision Transformers
Education
N/A
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