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Lead Machine Learning Engineer
CHARLOTTE · US
$119K–$224K
Full-time
SENIOR
About the Role
Wells Fargo's AI/ML Data Architecture team seeks a Lead Machine Learning Engineer to design and deploy scalable ML solutions on Google Cloud Platform. This role focuses on building data pipelines, enabling self-service analytics, and supporting predictive AI models in a hybrid work environment.
Responsibilities
- Design and implement scalable, secure data pipelines from internal systems to GCP services (BigQuery, BigTable, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).
- Enable self-service data consumption and governance through standardized patterns, templates, and sandbox capabilities.
- Design data architectures for training, validation, and monitoring of predictive ML and generative AI solutions.
- Define and implement standardized feature engineering and a common feature store with strong lineage and high availability.
- Optimize cost, performance, and reliability of GCP data workloads.
- Develop transformation libraries in Python/SQL/Beam for common patterns.
- Partner with data scientists to deliver new model use cases onto GCP.
Requirements
- 5+ years of Database Engineering experience or equivalent.
- 5+ years creating analytics/data science solutions in public cloud (GCP, AWS, Azure).
- 5+ years hands-on Python and/or Go for building data pipelines and automation.
Wells Fargo
Charlotte · US
