Associate Director, RDU IT - MLOps
Tasks
- Build and deploy production machine learning models
- Collaborate with cross-functional teams to solve business problems
- Communicate project updates to senior management
- Design development environments and processes for ML applications
- Develop MLOps pipelines for automated workflows
- Implement monitoring and governance for machine learning models
- Integrate generative AI solutions into ML ecosystem
- Lead MLOps infrastructure development and implementation
- Oversee model training, testing, and validation
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Agile | Airflow | Amazon SageMaker | Asynchronous Computing | Azure | Bitbucket Pipelines | CI/CD | Data Science | Data Visualization | Docker | Experiment tracking | Feature Store | Flyte | GCP | GitHub Actions | Jenkins | Keras | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Registry | Parallel Computing | PyTorch | Python | SQL | Serverless architecture | Statistical Analysis | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Associate | Associate Director | Director | Engineer | MLOps Engineer
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