AI Software Engineer
Tasks
- Analyze metrics logs and traces for proactive incident detection
- Build dashboards and visualization tools for model predictions
- Build data pipelines for model training evaluation and inference
- Deploy machine learning models using Docker and MLflow
- Develop backend services and APIs
- Implement anomaly detection and root cause prediction models
- Integrate observability tooling into production systems
- Maintain CI CD pipelines testing suites and model deployment workflows
- Monitor and improve model performance in production
- Translate data patterns into system insights and reliability improvements
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Apache Kafka | Apache Spark | CI/CD | Cause analysis | Docker | GRPC | Git | Go | Grafana | Java | Kubeflow | MLflow | Machine Learning | OpenTelemetry | Prometheus | PyTorch | Python | REST | Root Cause Analysis | Root cause | SQL | Scikit-learn | Series analysis | Snowflake | TensorFlow | Time Series | Time Series Analysis | TypeScript
Education
Roles
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