Machine Learning Platform - Lead Engineer
USA - IL (Remote), United States
R
USD 110K-160K Senior-level Full Time
Tasks
- Architect ML platform architecture
- Automate MLOps workflows
- Automate training validation deployment
- Build cloud based ML infrastructure
- Build core ML platform services
- Create batch and streaming data pipelines
- Design distributed system components
- Detect model drift
- Embed security compliance and responsible AI
- Implement ML CI CD pipelines
- Implement model governance
- Manage experiment tracking and versioning
- Mentor engineers and set standards
- Optimize ML platform cost
- Set up monitoring and observability
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS Security | AWS Security Hub | Amazon Inspector | Amazon SageMaker | Azure Defender | Azure Machine Learning | CI/CD | Cloud Storage | Command Center | Data Versioning | Distributed Systems | Docker | Experiment tracking | Feature Store | GCP Security | GCP Security Command Center | Google Vertex | Google Vertex AI | Inference Runtime | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Microservices | Microsoft Purview | Model Deployment | Model Registry | Model Training | Model versioning | Python | Security Command Center | Security Hub | System design | Terraform | Vertex AI | “as-code”
Education
N/A
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