Data Analytics & Ml Ops Engineer

Xlsmart; Indonesia; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Xlsmart mengundang Anda untuk bergabung sebagai Data Analytics & ML Ops Engineer di Indonesia. Anda akan merancang dan mengelola pipeline analitik serta ML, mengintegrasikan model ke platform data, dan memastikan operasional yang stabil melalui pemantauan kinerja dan evaluasi berkelanjutan.

Peran ini membutuhkan kombinasi keahlian di bidang data engineering, MLOps, dan arsitektur cloud, plus kemampuan bekerja sama dengan data scientists dan engineers untuk standarisasi deployment, versi, dan

Qualifications

• Gelar S1 di bidang terkait dan S1/S2 relevan.
• 3–6 tahun pengalaman data engineering atau MLOps.
• Pengalaman dengan platform analitik berbasis cloud dan deployment ML.

Responsibilities

• Kembangkan dan kelola pipeline analitik dan ML di produksi.
• Operasionalkan model ML pada data platform dan workflow bisnis.
• Pantau performa model, drift data, dan keandalan pipeline.
• Bekerja dengan data scientist & data engineer untuk standar deployment & versioning.
• Tingkatkan standar MLOps melalui otomatisasi dan dokumentasi.

Skills

MLOps

Data engineering

Analytics engineering

Cloud deployment

Education

Bachelor’s degree in CS/Data Eng/IS

Master’s degree in Data Eng or AI

Tools

AWS

GCP

Azure

Job description

Data Analytics & ML Ops Engineer

Perusahaan : Xlsmart - Jenis Pekerjaan : Full-Time Indonesia

Deskripsi Pekerjaan - Data Analytics & ML Ops Engineer

Responsibilities:

• Develop and manage analytics and ML pipelines covering data preparation, model deployment, and orchestration in production environments.
• Operationalize machine learning models by integrating models into data platforms, applications, and business workflows.
• Monitor model performance, data drift, and pipeline reliability to ensure stability, accuracy, and continuous improvement.
• Collaborate with data scientists and data engineers to standardize deployment, versioning, and experimentation practices.
• Strengthen MLOps and analytics engineering standards including automation, documentation, and operational controls.

Requirements:

• Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or related fields.
• Master’s Degree in Data Engineering or AI is an advantage.
• 3–6 years of experience in data engineering, analytics engineering, or MLOps roles.
• Experience with cloud-based analytics platforms and ML deployment in production environments
• Experience in Telco industry is a plus.

Tentang Perusahaan

Xlsmart

xlsmart.co