AI/ML Developer Consultant

Result of Service• Produced codebase for data processing and modeling. - Developed frontend components for user interaction with the model. - Developed backend components for model integration and API development. - Developed API integration for seamless communication between frontend and backend. - Developed necessary User Interface. • Documented ABT schema and feature engineering logic. • Trained and validated ML model for STR classification. • Delivered comprehensive documentation, including technical documents and user testing reports. • Produced deployment and user training materials. Work LocationVienna Headquarters Expected duration01.10.2025 to 31.03.2026 (6 months), with possibility of extension 114 full-time days of work Duties and ResponsibilitiesThis position is located in the Software Products for Member States Unit (SPMS), Information Technology Service (ITS), Division for Management (DM), United Nations Office at Vienna (UNOV) and United Nations Office on Drugs and Crime (UNODC), in Vienna. The incumbent will work on Digital Solutions-related topics under the direct supervision of the Chief, Software Products for Member States (SPMS), Digital Transformation umbrella, and overall guidance of the Chief of the Information Technology Service in Vienna. The AI/ML Developer will be responsible for implementing the machine learning components of the Suspicious Transaction Report (STR) classification model as outlined in the annex “Pilot/MVP of ML Modelling Initiative.” This includes data preparation, feature engineering, model development, testing, and deployment, in close collaboration with data scientists, product managers, and domain experts. Under the direct supervision of the Chief, the Consultant will complete specific tasks that are required to produce the detailed system design. The solutions may include text field vectorization or word embedding algorithms, classification models, interpretation algorithms, may include a front-end part with a wizard to enable necessary configuration (selection of table fields, parametrization of retraining, etc). - Understand data sources and STR structures. - Assist in defining the logical Analytical Base Table (ABT). - Develop ETL scripts for ABT creation. - Identify and document data quality issues. - Implement data cleaning and transformation pipelines. - Conduct exploratory data analysis (EDA). - Generate correlation matrices, class imbalance reports, and variable importance metrics. - Build and validate supervised ML models. - Address class imbalance using appropriate techniques. - Implement model interpretability tools. - Technical architecture design. - Acquiring / preparing test data. - Testing algorithmic logic on data. - Refining algorithmic logic based on test feedback. - Development of back-end with the approved algorithmic logic. - Development of front end. - Conduct model testing and performance evaluation. - Refine models based on feedback and test results. - Testing front-end and back-end. - Running minimum viable product (MVP) with an FIU. Qualifications/special skillsAdvanced university degree (Master's degree or equivalent) in computer science or related field is required. A first-level university degree in similar fields in combination with 2 years of qualifying experience may be accepted in lieu of the advanced university degree is required. Five years of overall experience in artificial intelligence, machine learning, predictive models, graph analytics, Python, SQL, Kubernetes, Microservices, Asana, predictive modelling, forecasting, NLP. LanguagesEnglish and French are the working languages of the United Nations Secretariat. For this post, fluency in oral and written English is required. Knowledge of another official United Nations language is an advantage. Knowledge of French is desirable Additional InformationNot available. No FeeTHE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.