MLOps Platform Engineer - Real-Time ML APIs (Hybrid)

GamblingCareers.com; Barcelona; Hybrid; EUR 85,000 - 120,000; Full time

Job summary

Aristocrat is advancing gaming tech with ML and AI, building a platform to productionize models for Product Madness. Join as an MLOps Engineer to deploy real-time ML services, design scalable infrastructure, and own CI/CD pipelines and model governance.

You will partner with ML Engineers and Data Scientists to push prototypes to production, improve observability, and ensure reliability across environments. Hybrid role with some in-office collaboration.

Qualifications

• 4+ years in ML infrastructure, ML platform, or MLOps roles.
• Strong software and systems engineering foundations.
• Experience serving models as real-time, low-latency services.
• Hands-on with Docker, Kubernetes, CI/CD and cloud platforms (GCP, AWS, Azure).
• Familiar with workflow orchestration and experiment tracking/model registry tooling.

Responsibilities

• Deploy ML models as real-time APIs with low latency.
• Design and own serving infrastructure: containers, Kubernetes, serving frameworks.
• Build and maintain CI/CD pipelines for models and retraining workflows.
• Own experiment tracking and model registry with versioning and governance.
• Build monitoring/observability for model and system health.
• Ensure reproducibility and reliability across environments and pipelines.
• Collaborate with ML Engineers/Data Scientists to take prototypes to production.

Skills

Python

CI/CD

Distributed systems

Tools

Docker

Kubernetes

Airflow

Kubeflow

MLflow

Weights & Biases

Prometheus

Grafana

KServe

Triton

BentoML

Job description

Aristocrat is advancing gaming tech with ML and AI, building a platform to productionize models for Product Madness. Join as an MLOps Engineer to deploy real-time ML services, design scalable infrastructure, and own CI/CD pipelines and model governance.

You will partner with ML Engineers and Data Scientists to push prototypes to production, improve observability, and ensure reliability across environments. Hybrid role with some in-office collaboration.