Expert in Ai/ Nlp/ Ml - Brussels, België - Penguin Formula

Penguin Formula

Geverifieerd bedrijf

Brussels, België

3 weken geleden

Geplaatst door:

Sophie Dubois

beBee Recruiter

Beschrijving

Company Description

We Cook iT is an international software house that delivers software development to its corporate customers by providing highly skilled, communicative IT professionals to build their customized products through outsourcing, nearshoring and turn-key projects' solutions.

How do we differentiate ourselves? By investing in the professional growth and personal care of our software developers. We provide them with a premium service so that they can do the same for our customers.

Our talented team holds software engineers and sales experts, spread across offices in Europe and South America, and we represent a go-getting and driven company who aims to be an inspiring software house, knowing our future relies on IT.

We Cook iT stand for growth, support, dynamic, companionship and communication and we're looking for a [main characteristic] [position] to join team We Cook iT.

Our head office is located in Portugal in the heart of Lisbon (Avenida da Liberdade) and we work mainly for the European market.

We are looking for an
Expert in AI/ NLP/ ML for one of the Departments of the European Union in Brussels/Belgium.

Qualifications

Knowledge of the involved Mathematics and Statistics (Linear algebra, Calculus, Probability theory, Statistics, Optimization techniques, etc.).
Very good knowledge of programming in Python (programming in R is considered an asset).
Very good experience with libraries and frameworks like TensorFlow, PyTorch, scikitlearn, and Keras.
Extensive handson experience with various machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
Good knowledge of deep learning and neural networks.
Good knowledge of data preprocessing and analysis techniques.
Good experience with data visualization using tools like Matplotlib, Seaborn or Plotly.
Good experience with RDBMS like Oracle (latest version).
Good understanding of NoSQL databases like MongoDB or Cassandra.
Extensive handson experience with using popular ML frameworks and libraries like TensorFlow and PyTorch.
Experience in training deep learning models.
Good knowledge of NLP techniques and libraries like NLTK, spaCy, or Transformers.
Knowledge of convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.
Extensive experience with model evaluation and validation techniques.
Extensive experience with deploying ML models to production.
Good understanding of ethical considerations in AI/ML.
Good knowledge of potential bias and fairness issues in AI systems.
Familiarity with reinforcement learning algorithms and environments.
Knowledge in using cloud platforms like AWS, Azure, or Google Cloud for scalable AI/ML solutions.
Familiarity with distributed computing frameworks such as Apache Spark or Hadoop for handling large dataset will be considered an asset.