MLOps & LLM Infrastructure Engineer — Brussels

All European Careers BENELUX; Cataluña; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

All European Careers BENELUX is seeking an MLOps/LLMOps Engineer to join an international Brussels-based team. You will manage MLOps infrastructure across on-premises and cloud environments, deploy ML workloads via Kubernetes or Podman, and build ML pipelines with MLflow/TFX and Airflow.

The role requires 6+ years IT experience with 3+ years in MLOps, strong Python scripting, and fluency in English. On-site visits are required 5 days per month, with relocation within Europe considered.

Qualifications

• 6+ years IT experience, including 3+ years MLOps.
• Hands-on experience managing on-premises and/or cloud-based MLOps or LLM infrastructure.
• Strong knowledge of Kubernetes, Docker or Podman, including EKS or PKS.
• Experience with MLflow, TensorFlow Extended (TFX) or equivalent MLOps tools, and Apache Airflow.
• Experience with AWS or European cloud providers.
• Proficiency in Python, Unix and Bash scripting.
• Experience with Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Knowledge of Kafka, Redis or RabbitMQ, NoSQL databases and query languages including SQL, Hive or Pig.
• Experience with large-scale data analytics, data lakes, production model validation, monitoring tools, Agile methodologies and technical documentation.
• Knowledge of data encryption and ML security practices would be an advantage.
• Fluent English.

Responsibilities

• Manage and optimize MLOps and LLM infrastructure across on-premises and/or cloud environments.
• Support the deployment, orchestration and operation of ML and LLM workloads using Kubernetes, Docker or Podman.
• Develop and maintain ML pipelines and workflows using MLflow, TensorFlow Extended (TFX), Airflow or equivalent technologies.
• Automate infrastructure provisioning and configuration using Terraform or AWS CloudFormation.
• Implement monitoring, logging and observability using tools such as Prometheus, Grafana, ELK Stack and OpenTelemetry.
• Support model testing, validation and performance monitoring in production environments.
• Work with data pipelines, messaging systems, NoSQL databases and large-scale data environments.
• Apply security practices, support Agile delivery and maintain clear technical documentation.

Skills

MLOps experience

Kubernetes

Python

Terraform/CloudFormation

MLflow / TFX / Airflow

Cloud providers (AWS / Europe)

English fluent

Data pipelines / NoSQL / SQL

Security / encryption

Git / CI/CD

Education

Bachelor's or Master's degree

Tools

MLflow

TensorFlow Extended (TFX)

Apache Airflow

Terraform

CloudFormation

Prometheus

Grafana

Kafka

Redis

RabbitMQ

Job description

All European Careers BENELUX is seeking an MLOps/LLMOps Engineer to join an international Brussels-based team. You will manage MLOps infrastructure across on-premises and cloud environments, deploy ML workloads via Kubernetes or Podman, and build ML pipelines with MLflow/TFX and Airflow.

The role requires 6+ years IT experience with 3+ years in MLOps, strong Python scripting, and fluency in English. On-site visits are required 5 days per month, with relocation within Europe considered.