Senior ML Engineer: Serving & MLOps Architect

Position: Senior ML Engineer: Real-Time Serving & MLOps Architect
Location: Denpasar

## Sr. Machine Learning Engineer Glints Denpasar ,Indonesia3 jam yang lalu3keahlian dibutuhkan:
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Engineering

Full-Time Kirim Lamaran Deskripsi Pekerjaan
** What You'll Build:
***** ML Serving Infrastructure
**** Real-time, low-latency model serving
* Deep learning (PyTorch) and tree-based models (Light

GBM/XGBoost) behind FastAPI on AWS ECS
*** MLOps Pipelines
**** Model promotion workflows: local → staging → production
* Automated validation gates before promotion (offline eval metrics, data quality checks)
* Retraining pipelines via Databricks Workflows (scheduled + drift-triggered)
* CI/CD for both code and model artifacts
* Blue-green or canary deployments for safe rollouts
*** Monitoring & Observability
**** Model quality tracking: accuracy, precision, recall, AUC over time
* Data drift and feature drift detection with automated alerts
* Feature freshness monitoring (detecting feature store lag before it impacts predictions)
* Inference latency: p50, p95, p99 via Grafana dashboards
* Sentry for error tracking, Cloud Watch + Prometheus for infra metrics
* A/B testing infrastructure for model experiments in production
** You will:
*** Design low-latency model serving architectures
* Maintain reusable feature pipelines
* Maintain ML models with reliable CI/CD pipelines
* Improve model performance, scalability, and reliability
* Collaborate with data scientists, data engineers, and product teams
** Requirements:
*** 5+ years Python, 3+ years ML Engineering
* Strong MLFlow experience (Feature Store, MLflow, Unity Catalog)
* AWS production experience (ECS, S3, Cloud Watch)
* Built real-time ML systems with latency requirements
** Nice to Have:
*** AdTech, fraud detection, or recommendation systems experience
* Kafka, Redis, streaming pipelines
* Grafana, Prometheus, Sentry
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