Senior Machine Learning Engineer
Tasks
- Architect CI CD systems for ML model releases
- Automate ML infrastructure operations and resilience
- Define observability standards for ML systems
- Design scalable cloud infrastructure for ML workloads
- Lead incident response and root cause analysis
- Own real time model inference infrastructure
- Streamline end to end ML lifecycle
Perks/Benefits
- Disability benefits
- Equity awards
- Health insurance
- Life insurance
- Paid time off
- Parental leave
- Wellness benefits
Skills/Tech-stack
AWS | Aerospike | Amazon Elastic Kubernetes Service | Apache Airflow | Apache Spark | CI/CD | Chronon | Datadog | Elastic Kubernetes Service | GCP | GitLab Runner | Google Kubernetes | Google Kubernetes Engine | Grafana | Java | Jenkins | Kafka | Kubernetes | Kubernetes Engine | Kubernetes Service | MLflow | NoSQL | Prometheus | Python | Ray | Scala | Spark | Terraform | Vector Database
Education
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