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Model Deployment & Serving (ML + GenAI):
- Deploy and operate ML models and LLMs using Vertex AI, Cloud Run, and GKE.
- Automate packaging, versioning, and release of models, prompts, embeddings, and related artifacts.
- Design scalable inference architectures (sync, async, agentic), including batching and GPU/TPU autoscaling.
Pipeline Engineering & Automation:
- Build and maintain ML and GenAI workflows using Vertex AI Pipelines, Cloud Composer (Airflow), or custom orchestration.
- Implement CI/CD for ML code and GenAI artifacts (prompts, fine-tuned models, evaluation suites).
- Add automated validation for data quality, model performance, regression, and LLM evaluation metrics.
Cloud Infrastructure & Reliability:
- Build scalable training and inference environments using GCP services.
- Manage infrastructure as code using Terraform or Deployment Manager.
- Apply cost optimization, reliability, and scaling best practices.
Achievers
Achievers' employee recognition and rewards platform empowers organizations to build cultures where people feel seen and valued, everyday. They're a team of passionate, thoughtful builders with more than 4.3 million users across 190 countries, who care deeply about their product, their customers, and each other.