Your new company

Our client is a multinational company and a key technology and financial services provider. They deliver scalable IT solutions and digital infrastructure across multiple business units, ensuring operational excellence and innovation. In addition to their technology expertise, they offer centralized financial services that streamline processes across the entire organization.

Your new role

• Build & Maintain ML Infrastructure: Design, implement, and maintain our cloud-based infrastructure for large-scale computer vision model training and data management.
• Automate ML Pipelines: Engineer and deploy automated, production-grade ML pipelines for seamless data processing, model training, validation, and deployment.
• Enable AI/ML Teams: Collaborate directly with Data Scientists and AI Engineers to streamline and accelerate the entire model development lifecycle.
• Ensure Scalability & Reliability: Architect and operate robust, secure, and efficient infrastructure for our large-scale AI solutions.

What you'll need to succeed

• Production MLOps Experience: Strong, relevant work experience operating and scaling machine learning systems and AI workflows in a production environment.
• Kubernetes Mastery: Deep, hands-on proficiency with Kubernetes for scheduling and scaling ML training jobs and complex workloads.
• ML Pipeline Expertise: Proven ability to build, manage, and troubleshoot ML pipelines and serving infrastructure. Direct experience with Argo Workflows and ArgoCD is an advantage.
• MLOps Tooling: Proficiency with modern MLOps tools, especially MLFlow for experiment tracking and model management.
• Infrastructure as Code (IaC): Solid practical experience managing cloud infrastructure using Terraform.
• Pragmatic Problem-Solver: Demonstrated ability to quickly and independently solve complex technical challenges with reliable, scalable solutions.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

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