Senior Machine Learning Engineer
Tasks
- Automate feature store and MLOps workflows with AI agents
- Build and operate ML and AI platform
- Collaborate with data science and AI teams
- Contribute internal documentation RFCs and onboarding guides
- Create training and evaluation pipelines
- Deploy models with canary shadow and rollback
- Develop online and offline feature serving
- Ensure security compliance and PII handling
- Implement feature store pipelines
- Implement observability with metrics, logs, and traces
- Manage model registry and experiment tracking
- Mentor engineers on pipelines testing and observability
- Participate in on-call incident triage
Perks/Benefits
- Coworking house support
- Flexible work schedules
- Referral bonus program
- Remote and in person flexibility
- Social budget
Skills/Tech-stack
Apache Flink | Apache Spark | Automation | Batch inference | CI/CD | Data Drift | Data Drift Detection | Data Freshness Monitoring | Data Quality | Data freshness | Drift Detection | Experiment tracking | Feature Store | Freshness Monitoring | Kafka | Kubernetes | Logging | MLOps | Machine Learning | Metrics | Model Drift | Model Drift Detection | Model Registry | Observability | Online Inference | OpenTelemetry | PII compliance | Security | Tracing
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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