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 on Natural Language Processing (NLP), Machine Learning (ML), and data analytics architecture while collaborating closely with cross-disciplinary teams in an agile environment.

Eligibility:

• Must be a citizen of an EU member country.

Responsibilities

• Collect business requirements and analyze advanced AI solutions or assess existing ML, data mining, and business intelligence tools.
• Design and specify user-friendly, optimal presentation interfaces to enhance usability and user experience.
• Create data models that address specific problem statements effectively.
• Contribute to and implement analytics architecture and solution stack, addressing performance, physical design, and capacity dimensions.
• Write clear, structured documentation and collaborate with other project teams to resolve cross-project dependencies.
• Work with data stewards and IT stakeholders to define data rules, quality controls, and integrity checks.
• Build automated anomaly detection systems and monitor their performance.
• Conduct data mining using state-of-the-art methods while processing, cleansing, and verifying data integrity.
• Design and analyze IT architectures for NLP, ML, and AI solutions, ensuring consistency and alignment with master/meta-data management principles.
• Evaluate data architecture for 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 as BPMN, UML, and entity-relationship diagrams.

Tools and Technologies:

• Proficiency in programming languages like Python, R, and PERL.
• Extensive knowledge of SQL (NoSQL DB, MongoDB, Hadoop, SQL).
• Familiarity with business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData).
• Experience with ETL processes and tools such as Talend Open Studio or SAS.
• Tools for big data analytics and building scalable data stores.
• Knowledge of Graph Databases for specific solution designs.

Architectural Skills:

• Expertise in designing scalable architectures and implementing modern data stores.
• Knowledge of recommendation 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 with architectural design principles for predictive and prescriptive analytics.
• Experience with AI/ML frameworks (TensorFlow, PyTorch, Keras).
• Advanced experience with Large Language Models and graph-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.