Machine Learning Developer
Tasks
- Build AI and MCP gateway with governance guardrails
- Build AI powered Python apps
- Build and maintain AI ML and GenAI pipelines
- Create RAG pipelines and agent applications
- Deploy and evaluate Vertex AI workloads
- Deploy to GKE using GitOps workflows
- Develop platform tooling for AI ML workloads
- Implement logging alerting and SLOs for ML workloads
- Implement traffic management with service mesh
- Integrate security tooling into ML workflows
- Monitor model drift and quality
- Orchestrate ML workflows with Airflow
- Perform incident response and root cause analysis
Perks/Benefits
- Employee travel discounts
- Health & wellness coverage
- Hybrid work model
- Paid time off
- Paid volunteer days
- Parental leave
- Remote work up to 4 weeks per year
- Retirement plans with company contributions
- Tuition support
Skills/Tech-stack
Airflow | ArgoCD | Arize | BigQuery | Codefresh | Composer | Dataflow | Dataproc | Docker | GCP | GKE | GitHub Actions | GitOps | Istio | Kubernetes | LLMOps | Langchain | Langgraph | Model Evaluation | Model Monitoring | New Relic | PagerDuty | Prompt management | Python | RAG | Service Mesh | Splunk | Traffic Management | Vector Databases | Vertex AI
Education
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