Deep Learning Developer (IT-CE-CDS-2026-137-GRAP)
Tasks
- Design and train transformer architectures
- Develop foundation model prototype
- Evaluate model performance
- Generalize across detector use cases
- Investigate self supervised learning
- Optimize computational efficiency
- Support multi task capabilities
- Track and deploy deep learning models
- Validate use cases
Perks/Benefits
- 30 days paid leave
- Health insurance
- Hybrid work
- Language classes
- On-the-job training
- Relocation package
Skills/Tech-stack
Data Processing | Deep learning | Docker | Experiment tracking | GPU Training | Git | MLOps | Machine Learning | Model Optimization | Neural Network | NumPy | Pandas | Performance Evaluation | PyTorch | Python | Self-Supervised Learning | Self-supervised | Supervised Learning | TensorFlow | Transformer
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