AI/ML Architect, Java Architect / Solution Architect
Tasks
- Align solutions with enterprise architecture standards and security best practices
- Analyze requirements and design technical solutions
- Architect scalable machine learning models
- Conduct code reviews architecture assessments and risk mitigation
- Create architecture roadmaps for applications integrations and cloud infrastructure
- Create solution blueprints architecture documents and design patterns
- Define MLOps model governance and responsible AI
- Define backend system technical design with Java and Spring Boot
- Deploy and monitor machine learning models
- Design machine learning architecture pipelines end to end
- Drive data strategy and feature stores
- Guide microservices containerization and API design
- Lead proof of concept evaluations and technology selection
Perks/Benefits
Skills/Tech-stack
AWS | AWS SageMaker | Airflow | Azure | Azure ML | CI/CD | Clean architecture | Dask | DevOps | Docker | Domain-Driven Design | GCP | GCP Vertex | GCP Vertex AI | Java | Kafka | Kubeflow | Kubernetes | Lifecycle Management | ML Lifecycle | ML Lifecycle Management | ML Ops | MLflow | Microservices | Model Deployment | Model Monitoring | ORM | PyTorch | Python | REST APIs | RabbitMQ | Scikit-learn | Spark | Spring Boot | TensorFlow | Vertex AI
Education
N/A
Roles
AI | AI/ML Architect | Architect | Java | Java Architect | ML Architect | Solution Architect
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