AI Engineer 2 (Data and Analytics Department)
Tasks
- Apply model governance
- Design test and implement AI ML solutions
- Detect data drift
- Develop AI/ML models
- Engage stakeholders and align requirements
- Establish MLOps pipelines
- Implement automated retraining
- Manage CI CD CT pipelines
- Monitor model performance
- Translate AI outputs into actionable insights
Perks/Benefits
- N/A
Skills/Tech-stack
Automated retraining | CI/CD | Continuous Deployment | Continuous Training | Data Drift | Data Drift Detection | Deep learning | Drift Detection | Knowledge Distillation | MLOps | Machine Learning | Model Governance | Model Monitoring | Model Optimization | Pandas | Pruning | PyTorch | Python | Quantization | Reinforcement Learning | Supervised Learning | TensorFlow | Unsupervised Learning | Version control
Education
Roles
AI | AI Engineer | Engineer
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