AI&ML Expert

We are looking for experienced Expert in AI&ML who will support our client and his international projects.

• Remote work from Belgium
• International projects
  
  

Duties

Development and maintenance of software applications in the field of Natural Language Processing

(NLP), Machine Learning (ML) and/or Artificial Intelligence (AI);

• Training of custom machine learning / deep learning models based on structured and unstructured
  
  

data;

• Selecting features, building and optimizing classifiers using machine learning techniques;
• Studies and developments aiming at improving the quality of machine translation (MT) engines for
  
  

each installed language pair, addressing the specific needs of customers of the service concerning

MT quality and contributing to a general strategy for the systematic evaluation and long-term

improvement of MT quality;

• Interact with data stewards and other IT stakeholders to define the data rules;
• Define data controls and implement actions to ensure data quality and integrity;
• Creating automated anomaly detection systems and constant tracking of its performance;
• Data mining using state-of-the-art methods;
• Processing, cleansing, and verifying the integrity of data used for analysis;
• Design the IT architecture for solitons in the NLP / ML / AI fields, and coordinate its
  
  

implementation considering master- and meta-data management concepts;

• Analyse data architecture for consistency, completeness, accuracy and reasonableness;
• Contributing for the analysis of data management vision, strategy and policy and derive the IT
  
  

requirements;

• Contributing to the design of the IT architecture considering master- and meta-data management
  
  

concepts;

Requirements

• Minimum 5 years of experience
• Extensive hands-on experience with the design and implementation of Retrieval Augmented Generation (RAG). This is considered essential for the post in question.
• Very good knowledge of programming in Python (programming in R is considered an asset).
• Very good experience with libraries and frameworks like TensorFlow, Hugging Face, PyTorch, scikitlearn, or Keras.
• Very good knowledge with using cloud platforms like AWS, Azure, or Google Cloud for designing/implementing scalable AI/ML/RAG/etc. solutions.
• Extensive hands-on experience with various machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Good knowledge of deep learning and neural networks.
• Knowledge of the involved Mathematics and Statistics (Linear algebra, Calculus, Probability theory, Statistics, Optimization techniques, etc.).
• Good knowledge of data pre-processing and analysis techniques.
• Good experience with data visualization using tools like Matplotlib, Seaborn or Plotly.
• Good experience with RDBMS like Oracle (latest version).
• Good experience of NoSQL databases like MongoDB or Cassandra.
• Experience in training deep learning models.
• Good knowledge of NLP techniques and libraries like NLTK, spaCy, or Transformers.
• Extensive experience with model evaluation and validation techniques.
• Extensive experience with deploying ML models to production.
• Good knowledge of potential bias and fairness issues in AI systems.
• Knowledge of the applicable data privacy regulations (GDPR) and compliance with AI/ML applications will be considered as an asset.
• Familiarity with reinforcement learning algorithms and environments.
• Familiarity with distributed computing frameworks such as Apache Spark or Hadoop for handling large dataset will be considered an asset.
  
  

Offer

• Stable employment.
• Remote work from Belgium.
• Flexibility regarding working hours. Autonomy to choose the way you work. We trust you.
• Annual Training&Development Budget, upskilling support, capability development programs
• Cooperation with top-tier engineers and experts.
• Activities to support your well-being and health.