ML Ops/LLM Ops Engineer - EU Institution (based in Belgium)
Core
Senior ML/LLM Engineer designing, building, and maintaining production-grade Large Language Model systems in secure hybrid on-prem/cloud infrastructure for EU research and innovation policies.
Role type
Senior hands-on IC ML/LLM Ops Engineer
Builds
Production-grade LLM systems, containerized ML environments, and automated anomaly detection pipelines
Domain
EU Institutions, Research & Innovation, Cloud & On-prem Infrastructure
Deliverable
production ML models
Required skills
LLM/MLOps infrastructure management, Kubernetes/Docker/Podman orchestration, Python, CI/CD pipelines, Terraform/CloudFormation, Airflow, SQL/NoSQL, Prometheus/Grafana monitoring
Preferred skills
MLflow/TensorFlow, Kafka/Redis/RabbitMQ, data security/encryption, eGrants ecosystem
Technologies
Kubernetes, Docker, Podman, EKS, PKS, MLflow, TensorFlow, Airflow, AWS, Terraform, CloudFormation, Kafka, Redis, RabbitMQ, OpenSearch, MongoDB, ELK, Prometheus, Grafana, OpenTelemetry, Cloudwatch
Responsibilities
Design and maintain production-grade ML systems with a focus on LLMs; Deploy, test, manage, and monitor ML models in containerized environments; Evolve the LLMOps lifecycle including data preparation, fine-tuning, evaluation, and deployment; Design CI/CD pipelines and orchestration solutions; Create automated anomaly detection systems and optimize ML pipelines for scalability; Provision security studies and assessments; Support team members on LLMOps practices
Seniority
Senior, hands-on IC
