MLOps Engineer (AI)

TL;DR

MLOps Engineer (AI): Building and maintaining infrastructure and tooling for reliable machine learning systems in production with an accent on CI/CD pipelines, model deployment workflows, and observability. Focus on automating the model lifecycle, managing model registries, and ensuring seamless transitions from experimentation to production at scale.

Location: Singapore (Hybrid: 2 days in-office, 3 days remote; Remote work available in locations without offices)

Company

hirify.global is an all-in-one platform for education and research, leveraging machine intelligence to address challenges like access inequality and student engagement.

What you will do

• Design and maintain CI/CD pipelines for ML models and services.
• Build and operate model deployment, serving, and rollback workflows.
• Implement monitoring, observability, and alerting for production models.
• Manage the model lifecycle using MLflow for tracking, versioning, and reproducibility.
• Automate infrastructure and establish standards in partnership with ML and platform teams.

Requirements

• 5+ years of MLOps or DevOps engineering experience.
• Strong proficiency with Docker and Kubernetes.
• Experience with GitLab CI and infrastructure-as-code tools like Terraform.
• Hands-on experience with major cloud platforms (Azure, AWS, or GCP).
• Proven experience with MLflow for experiment tracking and model registry.
• Familiarity with PyTorch, Kubeflow, and production monitoring stacks.
• Resume must be submitted in English.

Nice to have

• Experience serving LLMs or large models in production.
• Knowledge of feature stores and data pipeline tooling.
• Experience with cost and latency optimization for model serving.

Culture & Benefits

• Flexible work schedule (typically 09:00/10:00 to 18:00/19:00 CET/EET).
• Choice of work equipment (laptop, monitor, etc.).
• English language classes via iTalki ($130 monthly).
• Newborn bonus of €500 per child.
• Patent remuneration and paid leave.
• Commitment to diversity, equity, and inclusion.