Senior MLOps Platform Architect (AWS | Kubernetes | Terraform)

Your Strategic Partner for HR, Payroll & Headhunting Solutions

🚀 We are hiring a senior MLOps / DevOps / SRE hybrid who can build an entire AI platform infrastructure end-to-end. This is not a research role and not a standard ML Engineer role. If you haven’t designed production-grade MLOps infrastructure, haven’t built CI / CD for ML, or haven’t deployed ML workloads on Kubernetes at scale, this role is not a fit.

You will design, build, and own the AWS-based infrastructure, Kubernetes platform, CI / CD pipelines, and observability stack that supports our AI models (Agentic AI, NLU, ASR, Voice Biometrics, TTS). You will be the technical owner of MLOps infrastructure decisions, patterns, and standards.

Location : Remote -   Europe (PL / ES / PT / CZ / CY)

Key Responsibilities :

MLOps Platform Architecture (from scratch)

• Design and build AWS-based AI / ML infrastructure using Terraform (required) .
• Define standards for security, automation, cost efficiency, and governance.
• Architect infrastructure for ML workloads, GPU / accelerators, scaling, and high availability.

Kubernetes & Model Deployment

CI / CD for Machine Learning

Observability & Reliability

Collaboration & Technical Leadership

Qualifications and Skills :

We’re looking for a senior engineer with a strong DevOps / SRE background who has worked extensively with ML systems in production. The ideal candidate brings a combination of infrastructure, automation, and hands-on MLOps experience.

Ways to Know You’ll Succeed

What we offer

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