Senior AI/ML Engineer, Client Authentication
Southlake, TX, United States
USD 150K-231K (estimate) Senior-level Full Time
Tasks
- Build analytics dashboards and LLM assisted tooling
- Create feature engineering pipelines
- Deploy online and offline reusable feature definitions
- Design ML pipelines streaming and batch processing
- Develop deploy optimize risk scoring models
- Implement MLOps best practices
- Improve data quality through schema governance deduplication lineage validation
- Integrate model outputs into operational decision systems
Perks/Benefits
Skills/Tech-stack
Batch Processing | BigQuery | Cloud ML Engine | Cloud platform | Data Lineage | Data Validation | Deduplication | Feature Engineering | Fraud Detection | GCP Cloud | GCP Cloud ML Engine | Google Cloud | Google Cloud Platform | Kafka | Low Latency | Low-Latency Systems | ML Engine | MLOps | Model Monitoring | PubSub | Python | Real Time | Real-time Processing | SQL | Schema governance | Scikit-learn | TensorFlow | Time processing
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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