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