1.65 Senior Machine Learning Platform Engineer
Tasks
- Build data systems for video ingestion indexing and storage
- Design scalable ML infrastructure
- Develop ML training evaluation and inference pipelines
- Enforce security compliance and maintainability best practices
- Ensure reliability with monitoring logging and alerting
- Maintain MLOps workflows
- Mentor junior engineers and set technical direction
- Optimize performance and cost across cloud and edge
- Set up CI/CD pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Alerting | Auto Scaling | CI/CD | CloudFormation | Container Orchestration | DDP | Data Preprocessing | Dataset Management | DeepSpeed | Distributed Systems | Distributed Training | Docker | EKS | FSDP | GPU Orchestration | Horovod | Image Dataset Retrieval | Karpenter | Kubeflow | Kubernetes | Logging | MLOps | MLflow | Monitoring | Observability | OpenSearch | Pinecone | Python | Ray | Retrieval-Augmented Generation | SageMaker | Security Compliance | Serverless | Terraform | TypeScript | Vector Databases | Video Dataset Management | Weaviate
Education
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