Senior AI/ML Engineer, Client Authentication
Southlake, TX, United States
USD 150K-250K (estimate) Senior-level Full Time
Tasks
- Build analytics dashboards and LLM assisted tooling for fraud pattern understanding
- Create feature engineering pipelines and reusable feature definitions
- Design machine learning pipelines for streaming and batch processing
- Develop deploy and optimize risk scoring models
- Implement MLOps for ML lifecycle standardization
- Improve data quality with schema governance deduplication lineage and validation
- Integrate ML models into low latency real time decisioning
- Integrate model outputs into operational decision systems
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | BigQuery | Cloud platform | Data Lineage | Data Validation | Deduplication | Entity Linking | Event Driven | Event-driven architecture | Feature Engineering | Fraud Detection | GenAI | Google Cloud | Google Cloud Platform | Graph analytics | Kafka | LLM | Low Latency | MLOps | Machine Learning | Model Deployment | Model Monitoring | PubSub | Python | Real Time | Real-time Systems | SQL | Schema governance | Time Systems
Education
N/A
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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