Kerja Separuh Masa, MLOps Engineer - MLOps Specialist - MLOps Architect di Anthmal Webster - Maukerja

Role Description

The MLOps Engineer / MLOps Specialist / MLOps Architect develops infrastructure and workflows that support reliable machine learning deployment and operation. Responsibilities include automating pipelines, managing model versions, monitoring performance, and improving reproducibility, security, and operational efficiency.

The Engineer builds deployment and monitoring systems. The Specialist improves model lifecycle processes and resolves operational issues, while the Architect defines platform architecture, integration patterns, and standards for scalable training, serving, and governance.

Qualifications

• Degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
• Experience in MLOps, machine learning engineering, platform engineering, or DevOps supporting ML workloads.
• Proficiency in Python, SQL, Linux, and version control.
• Understanding of model training, evaluation, deployment, retraining, and monitoring.
• Experience with automated pipelines, model registries, experiment tracking, and data or model versioning.
• Familiarity with containers, orchestration, cloud infrastructure, and infrastructure as code.
• Ability to implement testing, access controls, observability, and recovery procedures for ML services.
• For engineer positions, experience building CI/CD workflows, model serving systems, and production integrations.
• For specialist positions, experience investigating model drift, pipeline failures, and reliability or resource utilisation issues.
• For architect positions, proven experience designing scalable ML platforms and defining technical standards across teams.