Skill diminta
AWSAirflowApacheAzureCI/CDDockerEnglishFastAPIGCPGitGitHub ActionsGrafanaKubernetesPrometheusPythonSparkTerraformdbtgRPC
Gaji pasar untuk posisi ini
Median Rp8,9 jt/bulan · rentang umum Rp7,5 jt – Rp11 jt
Berdasarkan 225 lowongan DevOps & Infrastructure se-Indonesia (semua level).
Lihat data gaji selengkapnya →Deskripsi
- Deskripsi pekerjaan Machine Learning Operations Engineer Cyber Olympus
- Mandatory
- Being able to speak english fluently at professional setting
- Being able to relocate to Malaysia
- Having relevant experiences / role at least 3 years
- MLOps Skill Set
- Software Engineering: Python, REST/gRPC APIs, testing, modular code, Git.
- Infrastructure & DevOps: Docker, Kubernetes, CI/CD, Infrastructure-as-Code (Terraform).
- Data & ML Foundations: ML lifecycles, model drift monitoring, data engineering, feature stores.
- Production Operations: Model deployment, low-latency API serving, system autoscaling.
- MLOps Tech Stack
- Containers & Clouds: Docker, Podman, Kubernetes, AWS/Google Could Platform/Azure.
- Data & Feature Engineering: Spark, Data Version Control, Feast.
- Orchestration: Airflow, Kubeflow, Prefect.
- Tracking & Governance: MLflow, Weights & Biases.
- Model Serving: FastAPI, Ray Serve, Triton Inference Server.
- Monitoring & CI/CD: GitHub Actions, Prometheus, Grafana, Evidently Al.
- Data Lakehouse Skill Set
- Table Formats & Storage: Apache Iceberg/Delta Lake mechanics, schema evolution, file compaction.
- Distributed Processing: Query optimization, memory tuning, parallel compute architectures.
- Data Architecture: Medallion design (Bronze/Silver/Gold), Change Data Capture (CDC), dimensional modelling.
- Governance & FinOps: Unified security, data lineage, compute-storage cost management.
- Data Lakehouse Tech Stack
- Storage Layer: AWS S3, Google Cloud Storage, Azure Data Lake.