AI/NLP/ML Expert
EUROPEAN DYNAMICS
full-time
Posted on:
Location Type: Hybrid
Location: Brussels • Belgium
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Tech Stack
About the role
- Design, implement and maintain a scalable, reliable and secure hybrid cloud ML Ops infrastructure to deploy, test, manage and monitor ML models in different environments;
- Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL) and/or Artificial Intelligence (AI);
- Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models;
- 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.;
- Design the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;
- Provision of security studies, security assessments or other security matters associated with information system projects.
Requirements
- Master’s degree in IT or relevant discipline, combined with minimum 15 years of relevant working experience in IT;
- Experience with model testing and model validation in production environments;
- 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);
- Excellent knowledge of managing an on-prem and/or cloud 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 and/or Azure;
- 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 an asset);
- Knowledge of NoSQL databases, such as Elasticsearch, MongoDB, Cassandra, HBase, etc;
- Knowledge of query languages, such as SQL, Hive, Pig, etc. and with information extraction;
- The following certifications would be considered as assets: AWS Certified Machine Learning and Microsoft Azure AI Engineer Associate;
- Excellent command of the English language.
Benefits
- If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference **(19500/02/2026).**
- We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Natural Language ProcessingMachine LearningDeep LearningArtificial IntelligenceCI/CD pipelinesdata versioningcontainerisationorchestrationPythoninfrastructure as code
Soft Skills
troubleshootingcollaborationcommunicationanalytical skillsproblem-solving
Certifications
AWS Certified Machine LearningMicrosoft Azure AI Engineer Associate