Senior MLOps Engineer - GCP Production & AI Infra

Point Wild; Poland; Remote; PLN 180,000 - 300,000; Full time

Job summary

Point Wild is seeking a Senior MLOps Engineer to architect, build, and maintain the infrastructure, pipelines, and tooling that enable complex AI models to be deployed, scaled, and monitored in production on Google Cloud Platform. You will collaborate with AI researchers, data engineers, and backend teams to bridge the gap between experimentation and production systems.

Your day-to-day includes deploying scalable ML infrastructure, managing end-to-end model deployment, building automated

Qualifications

• 5+ years of hands-on experience in MLOps or production ML environments.
• Experience deploying on GCP with Vertex AI and Kubernetes is required.

Responsibilities

• Architect, build, and maintain production ML infrastructure on GCP.
• Own end-to-end deployment of ML models and services.
• Implement CI/CD/CT pipelines and automated training workflows.
• Ensure observability, monitoring, and retraining triggers for ML workloads.
• Collaborate with AI researchers, data engineers, and backend teams.

Job description

Point Wild is seeking a Senior MLOps Engineer to architect, build, and maintain the infrastructure, pipelines, and tooling that enable complex AI models to be deployed, scaled, and monitored in production on Google Cloud Platform. You will collaborate with AI researchers, data engineers, and backend teams to bridge the gap between experimentation and production systems.

Your day-to-day includes deploying scalable ML infrastructure, managing end-to-end model deployment, building automated