Senior AI/ML Applications Architect
Tasks
- Architect generative AI applications
- Build MLops pipelines
- Collaborate cross-functional teams
- Deploy models on edge or cloud
- Design model performance optimization strategies
- Design scalable AI/ML solutions
- Develop and test ML models
- Develop proof of concepts
- Establish AI ML architectural standards
- Evaluate and recommend emerging AI/ML technologies
- Implement modular microservices architecture
- Integrate AI/ML capabilities into platforms
- Perform power system simulation analysis
- Set up CI CD for AI ML development
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Adversarial Networks | Amazon SageMaker | Azure | Azure ML | Azure Machine Learning | C Sharp | C plus plus | CI/CD | Dataiku | Diffusion Models | DigSilent | Docker | Edge Computing | GCP | Generative AI | Generative Adversarial Networks | Google Vertex | Google Vertex AI | GraphDB | IoT | Kubernetes | Language Models | Large Language Models | Load forecasting | MATLAB | MATLAB PSCAD | MLOps | Machine Learning | Microservices | NoSQL | PSS/E | Predictive Modeling | PyTorch | Python | R | SQL | Scikit-learn | Series analysis | Signal Processing | TensorFlow | Time Series | Time Series Analysis | Vertex AI
Education
Roles
AI | AI Engineer | Applications Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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