Expert in AI/ NLP/ ML
il y a 5 jours
Role - Expert in AI/ NLP/ ML [Artificial Intelligence / Natural Language Processing / Machine Learning]
Type - Hybrid
Location - Brussels, Belgium
SPECIFIC EXPERTISE
Following specific expertise is mandatory for the performance of tasks:
- Minimum 3 years experience and expertise in the command of Python and R proficiency with relevant libraries, including but not limited to NumPy, Pandas, Scikit-learn, SpaCy, NLTK, PyTorch, TensorFlow, HuggingFace, dplyr, stringr, tidymodels, torch for R, ggplot.
- Minimum 1 year experience (expertise) of Semantic NLP techniques, including semantic representation, text splitting, analysis, similarity and parsing.
- Minimum 2 years of hands-on knowledge with Large Language Models (e.g. OpenAI, LLaMa and Mistal)
- Outstanding communication skills and ability to deliver presentation to both business and technical audiences.
- Excellent command of English. Good command of French.
KNOWLEDGE AND SKILLS
• Minimum 5 years of professional experience in developing AI solutions, including machine learning and NLP; Proven experience with Deep Learning models and NLP techniques.
• Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.
• Experience with cloud services (AWS, Azure, Google Cloud).
• Ability to adapt to evolving technologies and methodologies in AI.
• Experience in cleaning and preparing data for AI/ML models.
• Minimum 3 years of experience with cloud services (AWS, Azure, GCP) and containerization tools (e.g. Docker) for the deployment of AI and machine learning applications. Experience with Knowledge Graphs and SPARQL is an asset.
• Minimum 2 years of experience with version control systems (Git Hub) and ETL tools (e.g. dbt, Airflow).
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Solution-oriented and accuracy to detail.
• Ability to cope with fast changing technologies used in application developments.
• Knowledge of European Commission IT environment is an asset.
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