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;

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

B2 level of English minimum. Any knowledge of French is an asset.

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 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 Elasticsearch, MongoDB, Cassandra, HBase, 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)

English

Kubernetes

Docker

TensorFlow

Airflow

Azure

Our client within the European Institutions is currently looking for an Expert in AI/NLP/ML to work on the design, implementation and maintenance of a scalable, reliable and secure hybrid cloud ML Ops infrastructure to deploy, test, manage and monitor ML models in different environments. 

Public

Expert in AI/NLP/ML

€570

Location:

Brussels, Belgium

Apply before:

03/11/2025

Project summary

Languages needed

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