Solution Architect: Expert in AI /NLP/ ML

The tasks include:

• Design and implementation of AI solutions in close collaboration with team management and AI technical lead;
• Propose or support adequate machine learning models and employ NLP techniques to extract valuable insights from large datasets;
• Support the development of generative AI solutions in knowledge management;
• Engage with colleagues from various teams, analyze business requirements and translate them into AI solutions;
• Follow AI developments. Attend meetings on AI and prepare briefings for the management.

Knowledge and skills:

• Minimum 5 years of professional experience in developing AI solutions, including machine learning and NLP; Proven experience with Deep Learning models, NLP techniques, NLTK, ;
• 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 E.U institutions IT environment is an asset;
• Ability to understand, speak and write in English. French will be an advantage.

Specific expertise:

• Minimum 3 years experience and expertise in the command of Python, R , MongoDB, C++, Matlab, Atlassian with specific hands-on experience linked to relevant libraries, including but not limited to NumPy, Pandas, Scikit-learn, SpaCy, NLTK, PyTorch, TensorFlow, 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) and recent handson experience on using LangChain framework, Hugging Face (in NLP context), hybridsearch and streamlit
• Outstanding communication skills and ability to deliver presentation to both business and technical audiences;
• Excellent command of English (see certification requirements below);
• French and/or German at conversational level or attested through academic studies in either France or Germany.

Certifications & Standards:

• IELTS academic level 8 or above.

In case these are not already obtained at the beginning of the mission, the timing for getting them will be agreed.