Overview
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.
Company:
Templeton & Partners – Innovative & Inclusive Hiring Solutions
Qualifications:
• 2+ years of work experience with Machine Learning
• Commute to this job’s location
• 2+ years of work experience with Neuro-Linguistic Programming (NLP)
• 2+ years of work experience with Microsoft Azure
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.
Level of experience (years):
Mid Career (2+ years of experience)
