MLOps / LLMOps Engineer Senior

About Cronos Europa 

Cronos 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. 

About the job 

We 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. 

Responsibilities 

• Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs) in a secure hybrid on-prem / cloud infrastructure. 

• Deploy, test, manage and monitor ML models in different containerised environments. 

• Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models. 

• Evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration. Develop evaluation frameworks for LLM quality, robustness, and regression tracking. 

• Analyse performance metrics and troubleshoot issues to ensure high availability and reliability. 

• Design CI/CD pipelines, use orchestration solutions and data versioning tools. 

• Creating automated anomaly detection systems and constant tracking of its performance and optimising ML pipelines for scalability, efficiency and cost-effectiveness. 

• Provision of security studies, security assessments or other security matters associated with information system projects. 

• Provision of support and guidance to other team members on LLMOps/MLOps practices. 

Specific expertise 

• Excellent knowledge of managing an on-prem and/or cloud LLM / MLOps infrastructure. 

• Excellent knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS). Good knowledge of MLflow, TensorFlow (TFX) or equivalents. 

• Good knowledge of Airflow. 

• Good knowledge of AWS or EU cloud providers. 

• Good knowledge of Python. 

• Good knowledge of Unix and Bash. 

• Good knowledge agile software development methodologies. 

• Good knowledge of infrastructure as code (Terraform, CloudFormation). 

• Good knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ). 

• Knowledge of data security measures (knowledge of encryption mechanisms and ML security is considered a plus). 

• Knowledge of NoSQL databases, such as OpenSearch, MongoDB, etc. 

• Knowledge of query languages, such as SQL, Hive, Pig, etc. and with information extraction. 

• Experience with data analytics over big datasets, non-structured databases as well as data lakes. 

• Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch). 

• Experience with model testing and model validation in production environments. 

• Ability to write clear and structured technical documentation. 

• Good knowledge of European Commission grant management ecosystem (eGrants) would be an asset. 

• EQF Level 6 or higher in a relevant field such as Computer Science, Information Technology, or Systems Engineering. 

Skills and competencies 

• Strong problem-solving and analytical skills. 

• Strong organisational and time-management skills. 

• Strong team spirit and experience working effectively within a collaborative team. 

• Capability of integration in an international/multi-cultural environment. 

• Excellent communication skills to articulate complex technical concepts. 

• Attention to detail in infrastructure design and well-structured documentation. 

• Ability to write clean, efficient, and maintainable code. 

If you wish to integrate a dynamic structure on a human scale while working with the latest technologies, don't wait anymore and join Cr