Principal Engineer, AI/ML Software
Tasks
- Build ETL pipelines
- Build fault tolerant distributed architectures
- Collaborate with data scientists, stakeholders
- Conduct design/code reviews
- Deploy RESTful APIs and microservices
- Deploy test monitor AI ML models
- Design MLOps software systems
- Enhance software infrastructure
- Evaluate emerging tools
- Implement automated workflows
- Lead MLOps technology roadmap
- Maintain scalable data stores
- Mentor junior engineers
- Monitor model performance
Perks/Benefits
- 401k
- Dental insurance
- Discretionary performance bonus
- Employee referral program
- Health insurance
- Paid Holidays
- Paid sick time
- Paid vacation
- Vision insurance
- Work from home 3 days per week
Skills/Tech-stack
AWS | Agile | Apache Airflow | Apache Kafka | Azure | CI/CD | CometML | Docker | ETL | GCP | Grafana | Infrastructure as Code | Kubeflow | Kubernetes | Linux | MLOps | MLflow | Machine Learning | Microservices | Prometheus | PyTorch | Python | REST API | Shell Scripting | TensorFlow | Terraform | “as-code”
Education
Regions
Countries
States
Cities
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