Senior AI Engineer
Tasks
- Apply MLOps best practices experiment tracking versioning automated testing monitoring
- Build maintain data pipelines feature engineering logic training workflows
- Design develop deploy machine learning models
- Implement model serving and inference solutions
- Integrate models into downstream applications and APIs
- Optimize transformer based and generative AI models
- Perform code reviews design discussions technical planning
- Troubleshoot and performance tune AI systems in production
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Automated testing | Azure | Cloud platform | Data Pipelines | Experiment tracking | Feature Engineering | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Inference | MLOps | Model Evaluation | Model Serving | Monitoring | PyTorch | Python | TensorFlow | Transformer | Version control
Education
Roles
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