Senior Software Engineer, AI/ML Platform
Tasks
- Apply MLOps best practices
- Build feature store
- Build model registry
- Collaborate with AI researchers and robotics engineers
- Design ML platform for AI flywheel
- Develop cloud compute workflows
- Develop developer APIs and CLI tools
- Enable model delivery to production
- Implement MLOps CI CD for ML pipelines
- Implement automated testing for ML
- Implement continuous retraining
- Implement experiment tracking tooling
- Implement monitoring and governance
- Implement reproducibility and lineage
- Integrate ML orchestration with data lake pipelines
- Mentor junior engineers
Perks/Benefits
- Company holidays
- Company paid medical dental vision and disability
- Employee assistance program
- Flexible work arrangements
- Paid parental leave
- Professional development
- Relocation assistance
- Remote-friendly
- Tuition reimbursement
- Unlimited PTO
Skills/Tech-stack
API Development | AWS | Airflow | Azure | CI/CD | CLI tools | Continuous Training | Docker | Experiment tracking | Feature Store | Google Cloud | Infrastructure as Code | Kubeflow | Kubernetes | Lineage | MLOps | MLflow | Model Governance | Model Monitoring | Model Registry | Rollback | Terraform | Weights and Biases | “as-code”
Education
N/A
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