Senior AI & NLP Engineer

About the Role: Senior AI & NLP Engineer

Join our dynamic international team at ACENTO and embrace the adventure of working abroad! We are actively seeking a Senior AI & NLP Engineer for a European institution located in Brussels, Belgium. This contract position requires candidates to be based in Belgium or willing to relocate to Brussels, and fluent in English. Please note that a work permit is required but not provided by ACENTO.

Tasks and Responsibilities

• Development and maintenance of software applications within the Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) domains.
• Training of custom machine learning and deep learning models using both structured and unstructured data.
• Selecting features, building, and optimizing classifiers through various ML techniques.
• Developing solutions aimed at improving the quality of machine translation (MT) engines for each installed language pair.
• Interacting with data stewards and other IT stakeholders to define robust data rules.
• Defining data controls and implementing actions to ensure data quality and integrity.
• Creating automated anomaly detection systems and continuously tracking their performance.
• Performing data mining utilizing state-of-the-art methods.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Designing IT architecture for solutions in the NLP, ML, and AI fields, and coordinating its implementation while considering master and meta-data management concepts.
• Analyzing data architecture for consistency, completeness, accuracy, and reasonableness.
• Contributing to the analysis of data management vision, strategy, and policy, and deriving corresponding IT requirements.
• Providing expert advice and assistance in any area associated with AI and Data Warehouse technologies.
• Performing design, development, and maintenance of BI and reporting software that adheres to reference architecture rules and accurately implements specifications.
• Assistance and support to the Advanced Analytics developers.
• Provision of technical studies, technical expertise, and technical evaluations in relation to AI systems.

Your Profile

• Bachelor or Master's degree.
• Over 9 years of IT experience.
• Excellent experience with Perl, Python, Matlab, R, and their NLP/ML libraries (SpaCy, NLTK, scikit-learn, pandas).
• Strong experience with ML techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks, and various AI frameworks.
• Experience in the field of corpus-based linguistics, alignment models, and classification methods.
• Experience with data analytics over big datasets, non-structured databases, and data lakes.
• Previous experience with Data Management, Database Mining systems, and Big Data technologies.
• Experience with AWS and/or Azure, Oracle RDBMS, and PL-SQL.
• Previous exposure to 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 human evaluation of MT quality.
• Some experience with query languages, such as SQL, Hive, Pig.
• Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase.
• Knowledge of data visualization tools, such as D3.Js, GGplot.
• Certification in AWS Certified Machine Learning, Microsoft Azure AI Engineer Associate, or SAS Certified Professional AI and Machine Learning Certification is an advantage.
• Fluent in English.

Key skills/competency

• Natural Language Processing
• Machine Learning
• Artificial Intelligence
• Deep Learning
• Python
• Data Analytics
• Big Data
• Cloud Platforms (AWS/Azure)
• Machine Translation
• Data Quality