Senior MLOps Platform Architect

Remote B2B Contract Europe

Role Overview

We are hiring a senior MLOps 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 havent designed production-grade MLOps infrastructure havent built CI / CD for ML or havent 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.

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

Requirements :

Were 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 Youll Succeed

Whats on Offer :

Diversity and Inclusion Commitment

We are dedicated to creating and sustaining an inclusive respectful workplace for all -regardless of gender ethnicity or background. We actively encourage applicants from all identities and experience levels to apply and bring your authentic self to our fast-paced supportive team.

Key Skills

Apache Hive,S3,Redshift,Spark,AWS,Solr,NoSQL,Data Warehouse,Internet Of Things,Kafka,DynamoDB,ZooKeeper

Employment Type : Full Time

Experience : years

Vacancy : 1