Senior ML Ops Engineer – GCP (IRC306817)
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- Design, provision, and manage cloud infrastructure using Terraform, including Vertex AI, Cloud Run/GKE, Pub/Sub, BigQuery, Cloud SQL, Secret Manager, IAM, and VPC Service Controls.
- Build and maintain CI/CD pipelines for services and ML models, including model registry and experiment tracking capabilities.
- Deploy and optimize ModernBERT model serving to achieve low-latency, cost-efficient inference at scale.
- Automate model retraining based on feedback volume or model drift, with validation and approval gates before promoting models to production.
- Build and operate the data infrastructure supporting analyst feedback and precedent data, using BigQuery and a vector store.
Що очікуємо
- 5+ years of experience in DevOps or platform engineering, including at least 2 years supporting ML workloads in production.
- Strong hands-on experience with Google Cloud Platform (GCP) and Terraform.
- Experience with Vertex AI Pipelines, Endpoints, and Model Registry, or an equivalent MLOps platform.
- Experience building CI/CD pipelines using Cloud Build or GitHub Actions, working with containers, and deploying workloads on Kubernetes.
- Experience implementing enterprise security controls, including IAM, secrets management, and network security perimeters.
Що пропонуємо
- Experience with inference optimization techniques, such as ONNX and quantization.
- Familiarity with MLflow, LLM observability tools, and data engineering in BigQuery.
- Relevant Google Cloud certifications, such as Google Cloud Professional-level certifications.
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