Job Specification

A highly skilled AI/NLP/ML Expert is required to support the development, maintenance and optimisation of advanced analytics, machine learning models, NLP systems, and data management activities within a large-scale digital transformation programme.

Key Responsibilities (Mandatory)

• Develop and maintain NLP, ML and AI software applications.
• Train custom machine learning and deep learning models.
• Select, build and optimise ML classifiers.
• Improve machine translation engines and evaluate MT quality.
• Perform data mining, cleansing, and verification of data integrity.
• Define data rules, implement data quality controls, and support anomaly detection systems.
• Design IT architectures for NLP/ML/AI solutions, ensuring alignment with data management principles.
• Analyse data architecture for accuracy, completeness and consistency.
• Develop and maintain BI and reporting tools.
• Provide expert advice, technical studies and support for AI systems.
• Support resolution of production issues when needed.
• Produce clear and structured technical documentation.

Mandatory Skills & Knowledge

• Excellent knowledge of Perl, Python, Matlab, R and NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas).
• Strong understanding of ML algorithms (SVM, k-NN, Naive Bayes, Decision Forests, Neural Networks).
• Strong data management knowledge and experience with AWS or Azure.
• Good knowledge of Linux, Unix, Bash.
• Understanding of NLP lifecycle and agile methods.
• Knowledge of MT quality metrics (e.g., BLEU) and evaluation methods.
• Knowledge of SQL, Hive, Pig and information extraction.
• Knowledge of NoSQL technologies (MongoDB, Cassandra, HBase).
• Experience with large datasets, unstructured databases and data lakes.
• Experience with Oracle RDBMS and PL/SQL.
• Strong applied statistics, scripting and programming skills.
• Ability to work autonomously and in teams; strong communication skills.
• EQF Level 7 (Master’s degree) or 5 years of higher education.
• Proficiency in English.