Sr. Machine Learning Engineer

Selamat Datang di Situs Lowongan Kerja Indonesia Terbaru 2026 dan Saat ini kami ingin memberitahukan Info Terbaru Mengenai Informasi Loker dari Perusahaan Glints dengan posisi Sr. Machine Learning Engineer. Untuk selengkapnya silahkan baca deskripsi lowongan kerja di bawah ini dengan seksama dan teliti, beserta persyaratan minimal lowongan kerja di yang telah tertera dan dijelaskan di bawah ini.

Glints melalui program rekrutmennya saat ini sedang membuka lowongan kerja untuk posisi Sr. Machine Learning Engineer di Bali yang bertujuan untuk meningkatkan kinerja operasional di dalam maupun luar kantor Glints. Perusahaan Tersebut sedang mencari calon tenaga kerja yang siap diterjunkan ke setiap divisi bagian perusahaan yang sesuai dengan posisi, kemampuan dan keahlian para pencari kerja tersebut. Berikut ini adalah detail lengkap persyaratan untuk posisi Sr. Machine Learning Engineer di Bali Perusahaan Glints:

Position Objective:

We’re looking for a Senior ML Engineer to build real-time ML systems for our mobile advertising platform. You’ll own the full lifecycle – feature engineering, model training, deployment, and production monitoring.

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

Tech Stack: Databricks, PySpark, PyTorch, LightGBM, FastAPI, AWS ECS, Redis, Kafka, MLflow, Grafana, Prometheus, Sentry