Description :
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
#LI-AD1