Senior MLOps / ML Platform Engineer (AdTech)

Location: Remote across Latin America and Europe, including Argentina, Brazil, Colombia, Mexico, Poland, Romania, and Ukraine

Company

Technology and engineering services provider building large-scale ML infrastructure for a programmatic advertising customer.

What you will do

• Build and maintain ML training orchestration pipelines with hourly, daily, and weekly schedules, including retries, backfills, and idempotent execution.
• Design model registry workflows covering versioning, lineage, evaluation gates, and promotion processes.
• Develop isolated per-advertiser model environments with namespace and configuration separation.
• Build refresh and publishing pipelines for serving infrastructure, including shadow mode and champion/challenger deployments.
• Implement monitoring and alerting for feature drift, prediction drift, train/serve skew, calibration decay, and operational costs.
• Collaborate with DevOps and SRE engineers on CI/CD, infrastructure automation, documentation, and platform handover.

Requirements

• 5+ years of experience in MLOps, ML platform engineering, or infrastructure engineering for production ML systems.
• Expert Python and MLOps skills, with experience building platform tooling and automation.
• Strong hands-on experience with Kubernetes, Docker, CI/CD for ML workloads, and Linux environments.
• Production experience with MLflow, Kubeflow, Airflow, Argo Workflows, Vertex Pipelines, Vertex AI, or similar platforms.
• Experience with multi-tenant ML systems, model lifecycle management, observability, infrastructure as code, and preferably GCP.
• Upper-Intermediate English level or higher required.

Nice to have

• Experience with feature stores, large-scale batch scoring, experiment tracking, evaluation gates, or data versioning tools.
• Experience with on-premises Kubernetes, bare-metal Linux, low-latency serving databases, GPU scheduling, or training cost optimization.
• Knowledge of SOC 2, ISO 27001, or GDPR-related compliance requirements.

Culture & Benefits

• Remote work with a flexible schedule.
• Health and legal support.
• Continuous education and an active professional community.
• Professional and community activities, including sports.
• Office access is available if preferred.