Expert in AI/NLP/ML (Brussels, near-site) – European Commission

DESCRIPTION
The IT department requires an Expert in AI/NLP/ML with strong experience in setting up and managing MLOps infrastructure for model development, deployment, testing, and monitoring.
EU27 citizenship required.

TASKS
The external service provider will:

• Design, implement, and maintain a scalable, secure hybrid cloud MLOps infrastructure;

• Develop and maintain applications in NLP, ML, DL, and AI;

• Collaborate with data scientists and developers to build, test, and deploy models;

• Monitor performance, troubleshoot issues, and ensure system reliability;

• Design CI/CD pipelines and use orchestration and data versioning tools;

• Implement anomaly detection and optimize ML pipelines for scalability and efficiency;

• Define and coordinate IT architecture for AI/ML/NLP solutions;

• Conduct security assessments and support information system security;

• Provide guidance on MLOps best practices.

LEVEL OF EDUCATION
Master’s degree (5 years) in a relevant field, such as:

• NLP, Computer Science, or Computational Linguistics;

• Machine Translation or equivalent;

• IT/Engineering with specialisation in AI, MLOps, or Data Engineering.

KNOWLEDGE AND SKILLS
Following skills and knowledge are required for the performance of the above listed tasks:
• Excellent knowledge of managing an on-prem and/or cloud MLOps infrastructure.
• Excellentknowledge 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 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)
• Experience with model testing and model validation in production environments
• Ability to write clear and structured technical documentation
• Excellent knowledge of on-prem or cloud solutions for data science applications.
• Ability to give business and technical presentations.
• Ability to apply high quality standards.
• Ability to cope with fast changing technologies.
• Very good communication skills with technical and non-technical audiences.
• Analysis and problem solving skills.
• Capability to write clear and structured technical documents.
• Ability to participate in technical meetings and good communication skills.

CERTIFICATIONS (Optional)

• AWS Certified Machine Learning

• Microsoft Azure AI Engineer Associate

SOFT SKILLS

• Experience in international and multicultural environments;

• Team-oriented with strong communication skills;

• Ability to work on multiple large projects;

• Fluent English (C1); French (C1) is an advantage;

• High level of discretion and integrity.

LOCATION
Remote (near-site), with availability to reach Brussels within 2 hours by land.

RATE

This position is offered on a contracting basis, and it pays between 430€-470€ per day.