AI/ML System Engineer

Job Description:

University degree in IT or relevant discipline, combined with a minimum of 15 years of relevant working experience in IT

Strong experience in machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks, and/or artificial intelligence frameworks

Strong experience in one of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems

Strong experience in Large Language Models and Graph Databases

Expertise in the ETL processes and tools (SAS, Talend Open Studio)

Experience with alignment models and classification methods

Experience with data analytics over big datasets, non-structured databases as well as data lakes

Experience with languages like R, Python, PERL and NLP techniques

Good knowledge of BPMN, UML or other equivalent values and Wiki or other collaborative sites

Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams)

Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData) and SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL)

Knowledge of software development methodologies (RUP, Agile) and architectural design and implementation of scalable modern data stores

Excellent command of the English language