MLOps / LLMOps Engineer Senior

h3About Cronos Europa /h3 pCronos Europa is a leading IT and digital transformation partner dedicated exclusively to European Institutions and agencies, delivering mission-critical solutions that shape Europe's digital future. As part of the Cronos Group, one of the most innovative and fastest-growing tech ecosystems in Europe, we benefit from a vast pool of expertise and cutting-edge capabilities. With over 1,000 specialists across Belgium, Luxembourg, and the Netherlands, we combine deep institutional knowledge with strong engineering excellence to support long-term, high-impact EU programmes requiring reliability, scalability, and innovation. /p h3About the job /h3 pWe are looking for an MLOps / LLMOps Engineer to design, deploy, monitor and optimise production-grade machine learning and large language model systems within secure hybrid on-premise and cloud environments. The role combines ML engineering, infrastructure automation, containerisation, security awareness and close collaboration with data science and backend development teams. /p h3Responsibilities /h3 ul liDesign, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs) in a secure hybrid on-prem / cloud infrastructure. /li liDeploy, test, manage and monitor ML models in different containerised environments. /li liWork closely with data scientists and back-end developers to build, test, integrate and deploy ML models. /li liEvolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration. Develop evaluation frameworks for LLM quality, robustness, and regression tracking. /li liAnalyse performance metrics and troubleshoot issues to ensure high availability and reliability. /li liDesign CI/CD pipelines, use orchestration solutions and data versioning tools. /li liCreating automated anomaly detection systems and constant tracking of its performance and optimising ML pipelines for scalability, efficiency and cost-effectiveness. /li liProvision of security studies, security assessments or other security matters associated with information system projects. /li liProvision of support and guidance to other team members on LLMOps/MLOps practices. /li /ul h3Specific expertise /h3 ul liExcellent knowledge of managing an on-prem and/or cloud LLM / MLOps infrastructure. /li liExcellent knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS). Good knowledge of MLflow, TensorFlow (TFX) or equivalents. /li liGood knowledge of Airflow. /li liGood knowledge of AWS or EU cloud providers. /li liGood knowledge of Python. /li liGood knowledge of Unix and Bash. /li liGood knowledge agile software development methodologies. /li liGood knowledge of infrastructure as code (Terraform, CloudFormation). /li liGood knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ). /li liKnowledge of data security measures (knowledge of encryption mechanisms and ML security is considered a plus). /li liKnowledge of NoSQL databases, such as OpenSearch, MongoDB, etc. /li liKnowledge of query languages, such as SQL, Hive, Pig, etc. and with information extraction. /li liExperience with data analytics over big datasets, non-structured databases as well as data lakes. /li liExperience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch). /li liExperience with model testing and model validation in production environments. /li liAbility to write clear and structured technical documentation. /li liGood knowledge of European Commission grant management ecosystem (eGrants) would be an asset. /li liEQF Level 6 or higher in a relevant field such as Computer Science, Information Technology, or Systems Engineering. /li /ul h3Skills and competencies /h3 ul liStrong problem-solving and analytical skills. /li liStrong organisational and time-management skills. /li liStrong team spirit and experience working effectively within a collaborative team. /li liCapability of integration in an international/multi-cultural environment. /li liExcellent communication skills to articulate complex technical concepts. /li liAttention to detail in infrastructure design and well-structured documentation. /li liAbility to write clean, efficient, and maintainable code. /li /ul pIf you wish to integrate a dynamic structure on a human scale while working with the latest technologies, don't wait anymore and join Cr /p