Machine Learning Engineer (MLOps)
Brussels, Belgium
Contract
Description
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 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 of the company that will closely cooperate with a major client’s 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
- Master’s 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.
Reach @ [email protected]
Key Skills
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- Posted
- Oct 09, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Brussels
- Company
- Apprize Technology Solutions
Industries
Categories
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