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Solution Architect
2 weeks ago
Role: Solution Architect - Data - Consumer Business Group
Location: San Francisco, CA (other US Locations can be considered - compensation mentioned is for Bay Area location)
Responsibilities:
-Build and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
-Architect and implement end-to-end MLOps pipelines for model training, deployment, and monitoring.
-Leverage cloud-based AI services (AWS SageMaker, Google Vertex AI, Azure ML) to develop scalable ML solutions.
-Work with big data technologies (Spark, Hadoop, BigQuery, Databricks) for data preprocessing and feature engineering.
-AI/ML tools - Vertex AI, TensorFlow, AutoML and Big query ML. Experience in Data Integration.
-Good to Have - Manage the MLOPs Infrastructure including Continuous Integration servers, Model Configuration management, Model Deployment automation, Containers, Infrastructure Orchestration, Monitoring and Analytics, Testing and Cloud Quality tools. Experience - 8 to 15 years
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