Senior AI Engineer
Tasks
- Apply MLOps practices for deployment and monitoring
- Automate testing and performance evaluation
- Build and maintain data pipelines and training workflows
- Collaborate with product managers to translate requirements
- Conduct code reviews and technical planning
- Design, develop and deploy AI models
- Fine tune evaluate and run inference workflows
- Implement model serving and inference solutions
- Integrate models into downstream applications and APIs
- Optimize transformer based and generative AI models
- Track experiments and version models
- Troubleshoot and tune production AI systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Automated testing | Azure | Cloud platform | Code Quality | Data Pipelines | Data Preparation | Deep learning | Embeddings | Experiment tracking | Feature Engineering | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Inference | MLOps | Machine Learning | Model Evaluation | Model Serving | Model versioning | Monitoring | Performance Tuning | PyTorch | Python | TensorFlow | Training workflows | Transformers | Version control
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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