Machine Learning Engineer

Brussels - Belgium

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

We currently have a vacancy for a Machine Learning Engineer (MLOps) fluent in English to offer his/her services as an expert who will be based in Brussels Belgium. The work will be carried out either in the companys premises or on site at customer the context of the first assignment the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major clients IT team on site.

Your tasks:

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);
Design CI/CD pipelines use orchestration solutions and data versioning tools;
Creating automated anomaly detection systems and constant tracking of its performance and optimizing 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;
Participate in the design of 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

Masters degree in IT or relevant discipline combined with minimum 15 years of relevant working experience in IT;
Excellent knowledge of managing an on-prem and/or cloud MLOps infrastructure;
Excellent knowledge of containerization and orchestration platforms (e.g. Kubernetes Docker Podman EKS PKS) Good knowledge of 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 (knowledge of encryption mechanisms and ML security is considered a plus);
Knowledge of NoSQL databases such as Elasticsearch MongoDB Cassandra HBase;
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);
Optional Certifications: 1) AWS Certified Machine Learning 2) Microsoft Azure AI Engineer Associate;
Excellent command of the English language French would be an advantage.

Benefits

If you are seeking a career in an exciting dynamic and multicultural international environment with exciting opportunities that will boost your career please send us your detailed CV in English.

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.

Job Opening in Brussels Belgium (SID:19145)
Panos Avramakis <>

Machine Learning Engineer (MLOps) - EUROPEAN DYNAMICS

Details:

- Position: Machine Learning Engineer (MLOps)
- Deadline: 14/10/25
- Rate: max daily 430 (all inclusive depending on experience)
-Client: European Commission

Kindly note that for this position due to sensitive security data we can consider only EU Nationality citizens.

We currently have a vacancy for a Machine Learning Engineer (MLOps) fluent in English to offer his/her services as an expert who will be based in Brussels Belgium. The work will be carried out either in the companys premises or on site at customer the context of the first assignment the successful ...