AI-помощник: сопроводительное письмо, адаптация резюме, тренировка собеседованияПерейти ↓
Описание вакансии
Обязанности
•Build proof of concepts and reference architectures
•Build streaming data architectures
•Conduct architecture reviews and implementation planning
•Configure and optimize data pipelines
•Create technical documentation and architecture diagrams
•Design real time data integration solutions
•Develop data pipelines for machine learning workflows
•Enable model inference for real time AI applications
•Evaluate emerging AI MLOps and streaming technologies
•Implement Change Data Capture CDC pipelines
•Perform feature engineering
•Troubleshoot data pipelines in cloud and hybrid environments
Условия
•Dental insurance
•Flexible spending account
•Health insurance
•Paid time off
•Stock options
•Vision insurance
Технологии: Amazon Redshift, Amazon SageMaker, Amazon Web Services, Azure Machine Learning, Azure Synapse, BigQuery, CI/CD, Change Data Capture, Cloud platform, Data Capture, Data Engineering, Data Pipelines, Data Streaming, Data integration, Databricks, Docker, Event Driven, Event-driven architecture, Feature Engineering, Git, Google Cloud, Google Cloud Platform, JSON, Java, Kubeflow, Kubernetes, MLflow, Machine Learning, Microsoft Azure, Model Deployment, Model Inference, Model Monitoring, NoSQL, Python, REST API, Real Time, Real-Time Data Streaming, Real-time Data, SQL, Snowflake, Vertex AI, Web Services