Tech Lead Manager, ML Platform
Tasks
- Build real-time feature pipelines
- Code regularly
- Collaborate with scientists and product teams
- Design scalable ML architectures
- Develop APIs and developer tools
- Drive feature platform improvements
- Ensure system reliability
- Guide prototyping and deployment
- Implement feature caching
- Improve deployment ergonomics
- Lead development of ML infrastructure
- Manage resource utilization
- Optimize system performance
- Scale AI across ecosystem
- Scale inference and training pipelines
Perks/Benefits
- Cell Phone Internet Allowance
- Childcare allowance
- Family planning benefit
- Health insurance
- Home-office allowance
- Parental leave
- Retirement plan
- Stock options
- Time-off policy
- Wellness allowance
- Work from home support
Skills/Tech-stack
AWS SageMaker | Apache Kafka | Cloud Platforms | Containerization | Data parallelism | Datadog | Distributed Training | DynamoDB | EC2 | ECS | EKS | Elasticsearch | Flink | GPU Inference | Grafana | Kinesis | Lambda | Litserve | MLflow | Machine Learning | Model Parallelism | Model Serving | PostgreSQL | Python | Real Time | Real-time Pipelines | Redis | S3 | Streaming Data | Torchserve | Triton
Education
N/A
Regions
Countries
States
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