OverviewWe currently have a vacancy for a Machine Learning Engineer (MLOps) fluent in English, to offer their services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company\'s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team that will closely cooperate with a major client\'s IT team on site.ResponsibilitiesDesign, 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 NLP, ML, DL and/or AI;Design CI/CD pipelines, use orchestration solutions and data versioning tools;Create automated anomaly detection systems and monitor performance, optimizing ML pipelines for scalability, efficiency and cost-effectiveness;Design IT architecture for solutions in NLP/ML/AI, coordinating implementation with master- and meta-data management concepts;Participate in the design of IT architecture for NLP/ML/AI solutions and coordinate implementation with master- and meta-data management concepts;Provide security studies, security assessments or other security matters associated with information system projects.RequirementsMaster\'s degree in IT or relevant discipline, with substantial relevant industry experience;Excellent knowledge of managing on-prem and/or cloud MLOps infrastructure;Excellent knowledge of containerization and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS) and familiarity with MLflow, TensorFlow (TFX) or equivalents;Good knowledge of Airflow, Python, Unix and Bash;Good knowledge of AWS and/or Azure;Good knowledge of IaC (Terraform, CloudFormation);Good knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ);Knowledge of data security measures (encryption is a plus);Knowledge of NoSQL databases (e.g. Elasticsearch, MongoDB, Cassandra, HBase);Knowledge of query languages (SQL, Hive, Pig) and information extraction;Experience with data analytics over large datasets, non-structured databases, and data lakes;Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, CloudWatch);Optional Certifications: AWS Certified Machine Learning, Microsoft Azure AI Engineer Associate;Excellent command of English; French would be an advantage.BenefitsIf you are seeking a career in an exciting, dynamic and multicultural international environment with opportunities to boost your career, please send your detailed CV in English, quoting reference (19145/10/2025).We offer a competitive remuneration (either on contract basis or with full benefits package), based on qualifications and experience. All applications will be treated as confidential.You may also consider other open vacancies by visiting the career section of our website and following us on Twitter and LinkedIn.About EUROPEAN DYNAMICSEUROPEAN DYNAMICS (ED) is a leading European software, ICT company operating internationally with offices across Europe and beyond. We design and develop software applications using state-of-the-art technology. We are an Equal Employment Opportunity employer without regard to race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion.ED adheres to GDPR principles by applying its Privacy Policy. By submitting an application you acknowledge and accept its Policy and authorize ED to process your personal data for recruitment opportunities.Job detailsSeniority level: Entry levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Software Development
#J-18808-Ljbffr