Senior AI Engineer - Foundation Models and Transformers-1
Tasks
- Apply MLOps practices experiment tracking versioning automated testing monitoring
- Build maintain data pipelines feature engineering logic training workflows
- Conduct code reviews design discussions technical planning
- Design develop deploy machine learning models
- Fine tune evaluate models
- Implement model serving and inference solutions
- Integrate models into downstream applications and APIs
- Optimize transformer based and generative AI models
- Translate requirements into technical implementations
- Troubleshoot and performance tune production AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Automated testing | Azure | Cloud Platforms | Cloud platform | Code Quality | Data Pipelines | Embeddings | Experiment tracking | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Inference | MLOps | Machine Learning | Model Serving | Model versioning | Monitoring | PyTorch | Python | TensorFlow | Transformer Models | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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