IT Officer - Machine Learning Expert

The Register of Damage for Ukraine, established in May 2023 through an Enlarged Partial Agreement of the Council of Europe, is based in The Hague, Netherlands, with an offfice in Kyiv, Ukraine. It serves as a documentary record of claims and evidence on damage, loss or injury caused by the Russian Federation’s internationally wrongful acts in or against Ukraine. The Register receives claims from individuals, businesses and state and municipal entities in Ukraine regarding damage, loss or injury that they have suffered because of the Russian aggression in Ukraine.

The team you will be part of, the Data Management Unit, is responsible for providing supporting in the design and roll out of the Register of Damage’s claims management system.

As an IT Officer - Machine Learning Expert, your primary mission will be to design, deploy, and maintain scalable machine learning (ML) solutions within the Reparations Claims Management System (RCMS).

You will:

• build and optimize ML workflows for fraud detection, classification, and summarization - leveraging Azure ML or similar platforms for deployment;
• configure ML pipelines (automation, CI/CD) in collaboration with the IT infrastructure team, ensuring minimal downtime;
• integrate with Azure Cognitive Services (e.g., Vision, Translation) rather than custom OCR/translation pipelines, supporting ML-based text analytics;
• oversee data ingestion and validation steps, including dynamic “verified-to-unverified” ranking for large incoming claim volumes;
• implement risk-scoring modules using recognized frameworks (TensorFlow, PyTorch, scikit-learn) at scale;
• ensure compliance (CoE, GDPR-like) by embedding privacy-by-design, logging, and secure data handling across ML workflows;
• collaborate with cross-functional teams, including Data Scientists, Secretariat, and external partners, to achieve robust ML integration.

You must:

• have a completed full course of general secondary education and hold appropriate vocational qualifications. A bachelor’s/master’s degree in Computer Science, AI, or related field is highly desirable;
• have a minimum of four years of relevant professional experience in ML engineering or a closely related discipline, including production-level ML deployments;
• have a very good level of English (one of the two official languages of the Council of Europe); knowledge of French, the other official language, would be an advantage;
• be a citizen of the host country or one of the 46 member States of the Council of Europe and fulfil the conditions for appointment to the civil service of that state;
• be present in the Netherlands;
• have discharged any obligation concerning national service (military, civil or comparable);
• not be the parent, child, stepchild or grandchild of a serving staff member of the Council of Europe;
• be under the age of 65 years.

Your application must demonstrate to what extent you have the competencies listed below. To help you doing so, feel free to consult our competency framework.

• Operational - Planning and work organisation
• Operational - Analysis and problem solving
• Operational - Learning and development
• Interpersonal - Service orientation

• Professional and technical expertise:

• ML Frameworks & Languages: proficiency with TensorFlow, PyTorch, scikit-learn, and Python or Java for production-level ML with demonstrated  experience of ML solutions (risk-scoring, fraud detection);
• Azure ML & Cloud: experience in configuring and managing ML pipelines, compute clusters, and related services (Azure ML, possibly Databricks) with familiarity with the Azure ecosystem for deploying and scaling ML models (Azure Machine Learning, Data Factory, etc.);
• containerization/automation: familiarity with CI/CD approaches, container registries, and Azure-based orchestration (if needed, with IT’s support);
• data security & compliance: skilled in privacy-by-design, encryption, and audit logging in line with GDPR-like standards;
• performance & scalability: ability to handle millions of records or concurrent claims, optimizing resource usage in Azure;
• risk-scoring & fraud detection: understanding of advanced ML solutions for fraud detection or risk modeling at enterprise scale;
• collaboration & communication: effectiveness in coordinating with Data Scientists, IT infrastructure teams, and Secretariat/legal stakeholders.

• Interpersonal - Teamwork and co-operation
• Interpersonal - Relationship building

This job vacancy is for a local external recruitment based on temporary contracts. Employment is limited to 31 December of the current year and may be extended. You can consult the conditions of employment (salaries, allowances, pension scheme, social insurance etc.) on the webpage What we offer.

For more information on how we recruit, you can consult the page Our recruitment process. This recruitment is carried out in accordance with Rule No. 1234 laying down the conditions of recruitment and employment of locally recruited staff members working in Council of Europe Duty Stations located outside of France. The deadline for applications is indicated in the General information section of this vacancy notice (see above) and is fixed at 23:59:59 (CET/CEST). When applying, make sure your motivation shows how your competencies make your profile the best for the role.

As an equal opportunity employer, the Council of Europe welcomes applications from all suitably qualified people, irrespective of sex, gender, sexual orientation, ethnic or social origin, disability, religion or belief. Under its equal opportunity policy, the Council of Europe is aiming to achieve gender parity in staff employed in each category and grade. At the time of appointment, preference between suitable people shall be given to the person of the gender which is under-represented in the relevant grades within the category to which the vacancy belongs.

Applicants with specific needs are encouraged to request reasonable accommodations at any stage during the recruitment process. Please contact us at [email protected], we will ensure that your request is handled.

The information published on the CoE’s careers website regarding working conditions is correct at the time of publication of the vacancy notice. Any changes to these conditions during the recruitment process will be updated on our Portal and will apply at the time of the job offer. Our career's website is not intended to be exhaustive and may not address all questions you would have. Should you have remaining questions, please contact us at [email protected].