Senior AI/NLP/ML Engineer

Please note that being an EU citizen is a mandatory requirement for this position.

SENIOR AI/NLP/ML ENGINEER

A European institution is seeking an Expert in Artificial Intelligence, Natural Language Processing, and Machine Learning (AI/NLP/ML) to contribute to the design, development, and optimization of intelligent systems and data-driven solutions. The expert will support strategic projects focused on innovation, automation, and advanced analytics within a highly collaborative and research-oriented environment.

Key Responsibilities:

• 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.

Mandatory Skills:

• 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

Education:

• University degree (Master’s level) in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field, with a minimum of 15 years of professional experience.

• Alternatively, a Bachelor’s degree in a relevant field combined with at least 19 years of professional experience may be accepted as equivalent.

Required languages:

• Oral and written fluency in English

• French at C1 level will be considered an advantage.

Eligibility:

• Open exclusively to citizens of the European Union.

Work Arrangement:

• Hybrid model

Location:

• Brussels, Belgium