Sr Software Engineer - AI
Lowe's Charlotte Technology Hub 3505, United States
USD 300K Senior-level Full Time
Tasks
- Automate model lifecycle workflows
- Build batch inference pipelines
- Build data ingestion pipelines
- Build real-time inference pipelines
- Build reusable ML libraries
- Collaborate with data scientists to translate requirements
- Conduct root cause analysis
- Create post processing pipelines
- Deploy and serve machine learning models
- Deploy model packaging
- Design end-to-end machine learning systems
- Develop feature engineering pipelines
- Ensure compliance with governance standards
- Ensure compliance with privacy standards
- Ensure compliance with security standards
- Ensure production system health
- Evaluate emerging AI/ML technologies
- Implement CI/CD pipelines
- Implement model registration
- Implement monitoring and alerting
- Improve platform reliability
- Maintain data transformation pipelines
- Manage feature stores
- Manage model registries
- Manage model versioning
- Monitor data drift
- Monitor data quality
- Monitor model drift
- Monitor model performance
- Optimize scalability and performance
- Optimize system architectures
- Orchestrate AI ML workflows
- Perform code reviews
- Troubleshoot production issues
- Write production-quality software
Perks/Benefits
- 401k match
- Associate discount
- Employee stock purchase plan
- Paid parental leave
- Tuition assistance
- Tuition-free education
Skills/Tech-stack
AWS | Agile | Apache Airflow | Automation | Azure | Batch inference | CI/CD | Cloud Composer | Data Drift | Data Integrity | Data Quality | Feature Store | GCP | Git | Google BigQuery | Great Expectations | Kubeflow | MLOps | MLflow | Model Drift | Model Registry | Model Serving | Model versioning | Monitoring | Presto | PySpark | Python | Real Time | Real-time Inference | SDLC | SQL | Software Engineering | Trino | Vertex AI
Education
Regions
Countries
States
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