Artificial Intelligence Engineer

Requirements

What do you need to succeed in this position?

• Master's degree in IT and minimum 13 years of experience (or Bachelor’s degree in IT and minimum 17 years of relevant experience).
• One of the following is recommended: Advanced university degree in NLP (computer science or computational linguistics) or A specialisation in (statistical/neural) machine translation (MT) or University degree in IT / Computer Science / Engineering or equivalent with specialisation in artificial intelligence.
• Excellent experience of Perl, Python, Matlab, R and its NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas…).
• Strong experience with ML techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and AI frameworks.
• Experience in the field of corpus based linguistics and alignment models and classification methods.
• Experience with data analytics over big datasets, non-structured databases as well as data lakes.
• Previous experience with Data Management, Database Mining systems and in Big Data technologies.
• Experience with AWS and/or Azure, Oracle RDBMS and PL-SQL.
• Previous exposure with Linux, Unix, Bash and scripting languages.
• Good knowledge of natural language processing systems lifecycle and agile software development methodologies.
• Good knowledge of quality assurance and quality control for machine translation (MT) and experience with MT quality procedures, testing methodologies and tools, such as automatic quality metrics (BLEU scores and similar) and human evaluation of MT quality.
• Some experience with query languages, such as SQL, Hive, Pig, etc.
• Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase, etc.
• Knowledge of data visualisation tools, such as D3.js, GGplot, etc.
• Advanced English (C1) communication skills (written and spoken).

Thank you very much!