1.65 Senior Machine Learning Platform Engineer
Tasks
- Build and operate data systems for video ingestion indexing and storage
- Collaborate with AI ML engineers to productionize workflows
- Design and manage scalable ML infrastructure
- Develop and optimize training and inference pipelines
- Enforce security compliance and maintainability best practices
- Ensure reliability and observability with monitoring logging and alerting
- Maintain MLOps workflows for versioning experiment tracking reproducibility and CI CD
- Mentor junior engineers and set technical direction
- Optimize infrastructure for performance and cost across cloud and edge
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Alerting | Auto Scaling | CI/CD | CloudFormation | Compliance | Data indexing | Data-parallel | DeepSpeed | Distributed Data Parallel | Distributed Systems | Distributed data | Docker | EKS | FSDP | GPU Orchestration | Horovod | Karpenter | Kubeflow | Kubernetes | Logging | MLOps | MLflow | Monitoring | Observability | OpenSearch | Pinecone | Python | Ray | Retrieval-Augmented Generation | SageMaker | Security | Terraform | TypeScript | Vector Databases | Video Processing | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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