Sr. Machine Learning Engineer

Cakap; Denpasar; Sur place; IDR 279 000 000 - 390 600 000; Plein temps

Résumé du poste

Cakap di Denpasar, Bali, mencari Sr. Machine Learning Engineer untuk merancang dan memelihara arsitektur model serving dengan latensi rendah. Calon ideal memiliki lebih dari 5 tahun pengalaman dalam Python dan ML Engineering, serta pengalaman dalam AWS dan CI/CD.

Tugas meliputi mengembangkan infrastruktur untuk model ML dan berkolaborasi dengan tim teknik data. Posisi ini menawarkan peluang untuk bekerja dengan teknologi terbaru dalam lingkungan yang dinamis.

Qualifications

• Pengalaman minimal 5 tahun menggunakan Python dan 3 tahun di ML Engineering.
• Pengalaman kuat dengan MLFlow dan AWS.
• Membangun sistem ML real-time dengan persyaratan latensi.

Responsabilités

• Merancang arsitektur model serving dengan latensi rendah.
• Menjaga pipeline fitur yang dapat digunakan kembali.
• Kolaborasi dengan tim ilmuwan data, insinyur data, dan produk.

Connaissances

Bahasa Python

Machine Learning Engineering

AWS

MLFlow

Outils

Grafana

Prometheus

FastAPI

Databricks

Description du poste

## Sr. Machine Learning EngineerGlintsDenpasar,Indonesia3 jam yang lalu3keahlian dibutuhkan: Masuk atau Daftar untuk melihatkecocokan keahlianmuEngineeringFull-TimeKirim LamaranDeskripsi Pekerjaan**What You'll Build:*****ML Serving Infrastructure**** Real-time, low-latency model serving* Deep learning (PyTorch) and tree-based models (LightGBM/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, CloudWatch + 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, CloudWatch)* 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