About the company
Our UniQue IT people are the most valuable part of Uni Systems; their knowledge and experience has made us the leading and reliable systems integrator of today and has contributed to our steady financial growth. We have created and are maintaining a stable working environment for our employees, with countless opportunities to innovate and thrive. Our work culture recognizes our UniQue IT people, supports the free sharing of ideas and the flow of information via open communication, while appreciating and effectively utilizing the talents, skills and perspectives of each employee. At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics.
Job Summary
What will you be bringing to the team?
šDevelopment and maintenance of software applications in the field of Natural Language Processing (NLP) and Machine Learning (ML) šTraining of custom machine learning / deep learning models based on structured and unstructured data; šSelecting features, building and optimizing classifiers using machine learning techniques; Data mining using state-of-the-art methods; šProcessing, cleansing, and verifying the integrity of data used for analysis; šDesign the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts; šAnalyse data architecture for consistency, completeness, accuracy and reasonableness; šContributing to the design of the IT architecture considering master- and meta-data management concepts. šContributing to drafting and writing of scientific publications, technical reports, data briefs and country-specific analysis šGive presentations and communicate results to technical and non-technical audiences šContributing to developing new data visualisations and interactive dashboards
Requirements
What do you need to succeed in this position? šMaster degree in either one of the following: š Economics, political science or related fields with strong proficiency in machine learning and/or natural language processing: šComputer science with demonstrated knowledge in economics and/or social science. šSpecialisation in statistics, machine learning and/or natural language processing šStrong proficiency in R, with experience in relevant machine learning and data processing libraries (e.g., caret, tidymodels, dplyr). šGood knowledge of Python, particularly in machine learning and data processing libraries (e.g., scikit-learn, pandas, SpaCy, NLTK). šGood understanding of GIS tools and geospatial data analysis. šExperience with dynamic reporting and interactive visualization tools, such as Plotly, Shiny, or other similar frameworks. šExcellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
