MLops Engineer
Tasks
- Automate deployment monitoring and retraining
- Collaborate to operationalize machine learning and NLP
- Design MLOps pipelines for production deployment
- Develop infrastructure for training and validation
- Implement CI CD pipelines for model releases
- Improve model performance scalability security observability
- Manage containerized cloud deployments
- Monitor AI and machine learning models
Perks/Benefits
- Career Development Programs
- Continuous learning programs
- Inclusive work environment
- Technical academies
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Docker | Git | GitLab CI | Google Cloud | Google Cloud Platform | Jenkins | Kubeflow | Kubernetes | MLflow | PyTorch | Python | Scikit-learn | TFX | TensorFlow
Education
N/A
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