DevOps / MLOps / Orchestration (SME)

DevOps / MLOps / Orchestration (SME) 

Our enterprise clients are moving from isolated AI components to fully integrated AI systems embedded within core products and platforms.
The challenge is no longer building models, but orchestrating, deploying, operating, and evolving AI systems reliably at scale.

This role exists to bridge software engineering, DevOps, and AI operations, enabling AI systems to move from experimentation to industrial-grade production.

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Mission 

You will operate as a Subject Matter Expert responsible for the end-to-end orchestration of AI systems, ensuring that models, data, and infrastructure work together as reliable, scalable, and observable platforms.

Acting in consultative client engagements, outsourced delivery, or product-based environments, you will design and operate the pipelines, tooling, and automation that make AI systems production-ready.

 

Key Responsibilities

AI Systems Engineering (Core)

• Design and implement CI/CD pipelines for AI and ML workloads

• Orchestrate training, evaluation, deployment, and inference workflows

• Enable reproducible, automated, and auditable AI delivery processes

• Integrate AI components into existing enterprise applications and platforms
   

MLOps & Orchestration

• Implement model packaging, deployment, and rollout strategies

• Manage versioning of code, data, and models

• Design monitoring for model performance, data drift, and system health

• Support retraining and continuous improvement pipelines
   

Platform Integration & Automation

• Expose AI capabilities via APIs and services

• Integrate AI systems with enterprise tooling and workflows

• Automate infrastructure provisioning and environment management

• Ensure smooth handover between development and operations
   

Technical Scope

Engineering & DevOps

• Python and general-purpose programming languages

• CI/CD tooling and automation pipelines

• Infrastructure as Code and configuration management
   

MLOps & Orchestration

• Workflow orchestration engines

• Model deployment and serving frameworks

• Experiment tracking and artifact management
   

Production Awareness

• High availability, observability, and rollback strategies

• Security, compliance, and access control integration

• Close collaboration with AI/ML, Data, Infra, and Security teams

 

Profile

Experience

• Strong background in software engineering, DevOps, or platform engineering

• Hands-on experience with AI/ML systems in production

• Proven experience designing automated, scalable delivery pipelines
   

Mindset

• Systems-thinking approach to AI delivery

• Strong ownership and reliability focus

• Comfortable operating across development and operations boundaries

• Continuous improvement and automation-driven mindset

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This is not a classic DevOps role.

This role is designed to industrialize AI systems, acting as the orchestration layer that turns models into reliable, scalable enterprise platforms.

You will position yourself as an AI Systems SME, enabling AI delivery pipelines to scale by orders of magnitude, contributing directly to the construction of one of the most advanced AI engineering platforms across Europe.

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