Senior Software Engineer, Machine Learning (ML Ops)
Tasks
- Architect CI CD systems for ML models
- Automate MLOps and SRE best practices
- Define observability standards for ML systems
- Design scalable cloud infrastructure for ML workloads
- Handle incident response and root cause analysis
- Improve low latency real time model inference infrastructure
- Monitor model performance and drift
- Plan disaster recovery and resilience engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Aerospike | Amazon Elastic Kubernetes Service | Apache Airflow | Apache Spark | Chronon | Datadog | Elastic Kubernetes Service | Feature Engineering | GCP | GitLab Runner | Google Kubernetes | Google Kubernetes Engine | Grafana | Java | Jenkins | Kafka | Kubernetes | Kubernetes Engine | Kubernetes Service | MLflow | Machine Learning | Model Monitoring | NoSQL | Prometheus | Python | Ray | Reinforcement Learning | Scala | Terraform | Vector Database
Education
Roles
DevOps | DevOps Engineer | Engineer | MLOps Engineer | Senior Software Engineer | Software Engineer
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