Senior Machine Learning Engineer
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Location:
Brussels (BE) Onsite Assignment period 01 Dec 202601 Dec 2027 Assignment description MLOps / LLMOps Engineer
Location:
Brussels, Belgium (Near-site) We are looking for an MLOps / LLMOps Engineer to design, deploy, and maintain production-grade Machine Learning and Large Language Model (LLM) platforms in secure hybrid cloud environments.
Key Responsibilities
Design, deploy, and operate scalable ML and LLM platforms. Manage the full ML/LLM lifecycle, from training and evaluation to deployment and monitoring. Build and maintain CI/CD pipelines for machine learning solutions. Collaborate with Data Scientists and Software Engineers to deploy AI models into production. Monitor model performance, reliability, and operational efficiency. Implement automation, orchestration, and infrastructure-as-code solutions. Ensure platform security, compliance, and operational best practices. Produce technical documentation and support team adoption of MLOps/LLMOps practices. Key Skills MLOps / LLMOps Kubernetes, Docker, Podman MLflow, TensorFlow (TFX) Airflow Python, Bash, Linux AWS or Cloud Platforms Terraform, CloudFormation Kafka, RabbitMQ, Redis OpenSearch, MongoDB SQL Prometheus, Grafana, ELK, OpenTelemetry Model Deployment, Monitoring & Validation Education Bachelor's degree (EQF Level 6) or higher in Computer Science, Information Technology, Systems Engineering, or a related field. Required skills Machine Learning Orchestration MLFlow llm Containerization Languages English (Proficient)
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