For an international organization in Brussels, Belgium, we are looking for an experienced Senior AI Engineer to develop advanced solutions in Natural Language Processing (NLP), Machine Learning and Artificial Intelligence.
Lea el resumen de esta posibilidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.
You will design and develop NLP and Machine Learning solutions, train custom ML/deep learning models and work on machine translation, data analytics and AI architecture.
EU candidates are welcome to apply and must be willing to relocate to Brussels.
Candidates must be fluent in English. Work permit sponsorship is not provided.
Tasks and Responsibilities
Develop and maintain AI, Machine Learning and NLP applications;
Train and optimize custom Machine Learning and Deep Learning models using structured and unstructured data;
Develop and improve Machine Translation (MT) solutions and evaluate translation quality;
Build classifiers and apply feature selection, data mining and anomaly detection techniques;
Process and validatedata to ensure data quality and integrity;
Design technical architectures for AI, NLP and ML solutions;
Collaborate with data and IT stakeholders on data requirements, architecture and governance;
Provide technical expertise across AI, Advanced Analytics and Data technologies.
Profile




Bachelor's or Master's degree;
9+ years of professional IT experience;
Strong experience with Python and NLP/ML development, including libraries such as SpaCy, NLTK, scikit-learn and pandas;
Experience with Perl, Matlab and R;
Strong knowledge of Machine Learning and Deep Learning techniques and algorithms;
Experience with NLP,corpus-based linguistics, alignment models and Machine Translation;
Experience working with large datasets, structured/unstructured data and data lakes;
Experience with DataManagement, Data Mining and Big Data technologies;
Experience with AWS and/or Azure, Oracle RDBMS and PL/SQL;
Experience with Linux/Unix, Bash, SQL and scripting;
Knowledge of NoSQL databases and Agile software development;
Fluent English, bothwritten and spoken. xhfqzwm
Nice to Have
Experience with Machine Translation quality evaluation, including BLEU scores and human evaluation;
Experience with Hive, Pig, MongoDB, Cassandra or HBase;
Experience with D3.Js or ggplot;
AWS Certified Machine Learning, Microsoft Azure AI Engineer Associate or SAS AI/Machine Learning certification.
Key Technologies & Skills
Artificial Intelligence | Machine Learning | NLP | Python | Deep Learning | Machine Translation | scikit-learn | SpaCy | NLTK | pandas | AWS | Azure | Data Mining | Big Data
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