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Penguin Formula

AI/NLP/ML Expert (hybrid, Brussels / Belgium)

Penguin Formula
Belgium · Full-time · Not Applicable

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

Job Description

We are urgently seeking an AI/NLP/ML Expert to join our Client’s team in Brussels, Belgium.

The candidate will work on cutting-edge projects focusing onNatural Language Processing (NLP),Machine Learning (ML), and data analytics architecture while collaborating closely with cross-disciplinary teams in an agile environment.

Eligibility:

  • Must be acitizen of an EU member country.

Responsibilities

  • Collect business requirements and analyze advanced AI solutions or assess existingML,data mining, andbusiness intelligencetools.
  • Design and specify user-friendly, optimalpresentation interfacesto enhance usability and user experience.
  • Create data models that address specific problem statements effectively.
  • Contribute to and implementanalytics architecture and solution stack, addressingperformance,physical design, andcapacity dimensions.
  • Write clear, structured documentation and collaborate with other project teams to resolve cross-project dependencies.
  • Work withdata stewardsand IT stakeholders to define data rules, quality controls, and integrity checks.
  • Build automated anomaly detection systems and monitor their performance.
  • Conduct data mining usingstate-of-the-art methodswhile processing, cleansing, and verifying data integrity.
  • Design and analyze IT architectures forNLP,ML, andAIsolutions, ensuring consistency and alignment withmaster/meta-data managementprinciples.
  • Evaluatedata architecturefor accuracy, consistency, and reasonableness.

Qualifications

Mandatory Requirements

Education:

  • Master’s degree in a relevant field.

Skills and Experience:

  • Natural Language Processing (NLP):Strong understanding of lifecycle management and proficiency in NLP techniques and systems.
  • ML/AI Expertise:Extensive experience with machine learning techniques (k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks, etc.), large language models, and predictive/prescriptive analytics.
  • Corpus-Based Linguistics:Hands-on experience with alignment models and classification methods.
  • Data Analytics:Expertise in analyzing large datasets, including data lakes and unstructured/non-structured databases.
  • Modelling:Proficiency in tools and techniques such asBPMN,UML, and entity-relationship diagrams.

Tools and Technologies:

  • Proficiency in programming languages likePython,R, andPERL.
  • Extensive knowledge of SQL (NoSQL DB, MongoDB, Hadoop, SQL).
  • Familiarity withbusiness intelligence tools(Tableau, Qlik, SAS, SAP, GoodData).
  • Experience withETL processes and toolssuch as Talend Open Studio or SAS.
  • Tools for big data analytics and building scalable data stores.
  • Knowledge ofGraph Databasesfor specific solution designs.

Architectural Skills:

  • Expertise indesigning scalable architecturesand implementingmodern data stores.
  • Knowledge ofrecommendation systems,trends/anomalies detection, plagiarism detection,sentiment analysis, topic detection, and social media processing.

Agile Approach:

  • Strong understanding of Agile development.
  • Cross-functional collaboration with teams using Scrum/Kanban methodologies.

Desirable Knowledge:

  • Familiarity witharchitectural design principlesfor predictive and prescriptive analytics.
  • Experience with AI/ML frameworks (TensorFlow, PyTorch, Keras).
  • Advanced experience withLarge Language Modelsandgraph-based systems.

Why Apply?

  • Contribute to high-impact projects tackling advanced AI/ML and NLP-driven solutions.
  • Challenge your expertise across multiple fields of data, AI, and advanced analytics within a multicultural and international environment.
  • Collaborate with a talented team driving innovation in AI for an esteemed organization.

Additional Information

If you meet the outlined requirements and are ready for your next challenge, we want to hear from you.

Key Skills

Ranked by relevance

ai sql sas machine learning neural networks data mining tensorflow big data pytorch hadoop nosql keras
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Posted
Mar 04, 2025
Type
Full-time
Level
Not Applicable
Location
Brussels

Industries

Information Technology & Services

Categories

Other

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