AI Engineering Lead
Tasks
- Build REST APIs and gRPC services
- Build data pipelines for transaction data
- Create feature stores and real time feature serving
- Define evaluation metrics for business KPI impact
- Design train and fine-tune machine learning models
- Develop inference services for low latency payment routing
- Drive CI CD testing and engineering best practices
- Implement observability, monitoring, and alerting
- Integrate model outputs into payment orchestration layer
- Lead incident response and post-incident reviews
- Provide technical guidance and mentor engineers
- Scale production systems for global traffic
- Set up model drift detection and performance monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | B testing | CI/CD | DBT | Datadog | Distributed Systems | Distributed tracing | Docker | Drift Detection | Event Driven | Event-driven architecture | Feature Engineering | Feature Store | GCP | GRPC | Go | Grafana | Hybrid Cloud | Kubernetes | MLflow | Model Monitoring | Next.js | Prometheus | PyTorch | Python | REST API | React | SQL | Scikit-learn | Structured Logging | TensorFlow | TypeScript | Weights and Biases | XGBoost
Education
Roles
Engineer | Engineering | Engineering Lead | Lead | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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