Senior AI/ML Applications Architect
Tasks
- Architect scalable AI/ML solutions
- Build container and orchestration deployment strategies
- Collaborate with cross-functional teams
- Create CI CD and MLOps pipelines
- Define AI ML architecture standards and best practices
- Deploy models to edge and cloud platforms
- Design generative AI applications for edge and cloud
- Develop and demo proof-of-concepts
- Develop privacy by design AI ML pipelines
- Evaluate emerging AI ML tools and vendors
- Implement modular microservices architecture
- Integrate AI/ML into existing platforms
- Optimize model performance in production
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Auto Scaling | Azure ML | Azure Machine Learning | CI/CD | Cloud Computing | Containerization | Dataiku | DevOps | Diffusion Models | DigSilent | Docker | Edge Computing | GAN | Generative AI | Google Vertex | Google Vertex AI | GraphDB | Infra-as-code | IoT | Kubernetes | LLM | Load forecasting | MATLAB | MLOps | Machine Learning | NoSQL | PSCAD | PSS/E | Predictive Modeling | PyTorch | Python | SQL | Scikit-learn | Series analysis | Signal Processing | TensorFlow | Time Series | Time Series Analysis | Vertex AI | “as-code”
Education
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