AI/ML Solution Architect
Tasks
- Architect MLOps pipelines for CI CD model versioning and lifecycle management
- Build data pipelines and deploy models
- Collaborate with business leaders to identify AI ML opportunities
- Define and optimize secure ML architectures
- Design and implement end-to-end AI/ML solutions
- Ensure data quality, governance, and compliance
- Lead architecture discussions and design reviews
- Provide technical leadership in AI governance best practices and emerging technologies
Perks/Benefits
Skills/Tech-stack
AWS | Amazon SageMaker | Azure | CI/CD | Cloud Computing | Cloud platform | Data Governance | Data Quality | Deep learning | Generative AI | Google Cloud | Google Cloud Platform | Kubeflow | Language Processing | MLOps | MLflow | Machine Learning | Model versioning | Natural Language | Natural Language Processing | PyTorch | Python | Scikit-learn | TensorFlow
Education
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