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DE
Deluxe

AI Platform Engineer

LocationDE-Germany-Home Office
Work moderemote
Typefull-time
Company size1,001–5,000 people
PostedAug 29, 2026 · 1mo ago
Verified live5h ago
At a glanceSummarised by Seekless from the posting.
Must have6
Experience in MLOps, AI platform engineering, DevOps, software engineering, or production ML operations
Experience deploying or operating AI/ML models, inference services, data services, or API-based production systems
Strong scripting or programming skills using Python or similar languages
Experience with containers, CI/CD, cloud environments, monitoring, and operational automation
Understanding of model deployment concepts, model lifecycle management, versioning, validation, and rollback
Experience troubleshooting production systems across application, model, infrastructure, and deployment layers
Nice to have6
Experience with model-serving frameworks, MLOps platforms, Kubernetes, Docker, ECS, EKS, MLflow, KServe, BentoML, Ray, Airflow, or similar technologies
Experience supporting LLMs, agentic workflows, RAG systems, speech models, translation models, or other applied AI services
Experience with GPU-backed inference, batch processing, distributed systems, or high-throughput workloads
Experience with AWS services used for compute, storage, networking, security, monitoring, and deployment
Experience with media, localization, dubbing, content workflows, ASR, MT, TTS, or language technologies
Experience evaluating or integrating commercial and open-source AI platforms
Skills
Python
Kubernetes
Docker
ECS
EKS
MLflow
KServe
BentoML
Ray
Airflow
AWS
Job
AI Platform Engineer
Description
ABOUT THE ROLE:
Position Overview
Deluxe is seeking an AI Platform Engineer to help operate, automate, and improve production AI services used across media, localization, workflow automation, and application platforms. This role sits at the intersection of MLOps, platform engineering, DevOps, and production operations.
The AI Platform Engineer will focus on making AI systems reliable and usable in production. This includes model deployment, inference services, monitoring, release automation, observability, performance, cost optimization, and operational support. The role will work closely with AI Engineers, Cloud Platform Engineers, product teams, and application engineering teams to ensure AI capabilities can be safely and consistently delivered into Deluxe workflows and products.
RESPONSIBILITIES:
•
Build and operate platforms for deploying, monitoring, and maintaining production AI models and services.
•
Support model-serving environments, inference pipelines, deployment workflows, and release automation.
•
Develop automation for model packaging, promotion, validation, rollout, rollback, and lifecycle management.
•
Implement monitoring, logging, alerting, and observability for AI services, including performance, latency, availability, error rates, and cost.
•
Partner with AI Engineers to move models, workflows, and AI services from prototype to production.
•
Partner with cloud platform, infrastructure, and application teams to ensure AI services run on secure, scalable, and reliable environments.
•
Help define operational standards for production AI systems, including runbooks, incident response, testing, and release readiness.
•
Support batch and real-time AI workloads where applicable.
•
Troubleshoot issues related to model serving, API behavior, environment configuration, infrastructure, and deployment pipelines.
•
Build reusable patterns for AI service deployment and integration across Deluxe applications.
•
Contribute to evaluation and adoption of MLOps tools, model-serving frameworks, observability platforms, and AI infrastructure technologies.
QUALIFICATIONS:
•
Experience in MLOps, AI platform engineering, DevOps, software engineering, or production ML operations.
•
Experience deploying or operating AI/ML models, inference services, data services, or API-based production systems.
•
Strong scripting or programming skills using Python or similar languages.
•
Experience with containers, CI/CD, cloud environments, monitoring, and operational automation.
•
Understanding of model deployment concepts, model lifecycle management, versioning, validation, and rollback.
•
Experience troubleshooting production systems across application, model, infrastructure, and deployment layers.
Preferred Qualifications
•
Experience with model-serving frameworks, MLOps platforms, Kubernetes, Docker, ECS, EKS, MLflow, KServe, BentoML, Ray, Airflow, or similar technologies.
•
Experience supporting LLMs, agentic workflows, RAG systems, speech models, translation models, or other applied AI services.
•
Experience with GPU-backed inference, batch processing, distributed systems, or high-throughput workloads.
•
Experience with AWS services used for compute, storage, networking, security, monitoring, and deployment.
•
Experience with media, localization, dubbing, content workflows, ASR, MT, TTS, or language technologies.
•
Experience evaluating or integrating commercial and open-source AI platforms
Company
As the world’s leading multidisciplinary service provider, Deluxe underpins the media and entertainment industry, servicing content creators and distributors including Netflix, WarnerMedia, The Walt Disney Company, Amazon, Apple, Viacom, NBCU, Google, AT&T and many others, by providing Global Content Distribution, Localization, Accessibility and Mastering while leading end-to-end innovation with unparalleled scale and agility across the Streaming, Theatrical, Broadcast and Mobile landscapes. With headquarters in Los Angeles and offices around the globe, the company employs over 3,500 of the most talented and experienced industry individuals worldwide. For more information, please visit www.bydeluxe.com
More roles at Deluxe
ReceptionistProject Manager - Subtitling (Order Manager)Lead Graphic DesignerAccount Coordinator, Subtitling and AccessAudiovisual Translation Specialist
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