AI/ML Engineer (Brussels)

Location: Brussels, Belgium; hybrid work with on-site attendance at Brussels offices and remote work. Applicants are expected to live in Portugal.

Company

hirify.global is a technology company delivering tailored solutions across Europe in Cloud, Cybersecurity, Data, and Advanced Development.

What you will do

• Develop, train, maintain, deploy, and monitor machine learning models and software applications for NLP, AI, LLMs, generative AI, and RAG use cases.
• Improve machine translation engines through studies, development, automatic quality metrics, human evaluation, testing, and long-term quality improvement strategies.
• Define data rules and controls with data stewards and IT stakeholders; process, cleanse, validate, and improve the quality, integrity, consistency, completeness, and accuracy of datasets.
• Design NLP/ML/AI architectures and coordinate implementation with engineering teams while applying data management and metadata principles.
• Implement MLOps practices for model versioning, CI/CD, deployment, monitoring, governance, drift detection, and retraining.
• Document and communicate AI concepts, project status, and results; research and pilot innovative solutions while ensuring compliance with data protection and AI Act requirements.

Requirements

• Excellent knowledge of Python and R and AI/ML libraries including TensorFlow, PyTorch, scikit-learn, pandas, SpaCy, and NLTK.
• Excellent knowledge of machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, decision forests, neural networks, and AI frameworks.
• Excellent knowledge of generative AI, small and large language models, data governance, data quality, data cleaning, and AI data lifecycle management.
• Good knowledge of AWS SageMaker or Azure Machine Learning Studio; cloud platforms such as AWS Bedrock or Azure AI Studio; and orchestration and safety frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
• Good knowledge of NLP system lifecycles, agile software development, machine translation quality assurance and control, BLEU and similar metrics, and human MT evaluation.
• Knowledge of SQL, Hive, Pig, information extraction, NoSQL databases such as MongoDB, Cassandra, or HBase, and visualization tools such as D3 or GGplot.
• Experience with corpus-based linguistics, alignment models, classification methods, big-data analytics, non-structured databases, and data lakes.
• Knowledge of cybersecurity for AI systems, AI risks, and relevant AI Act requirements.
• Experience with MLOps tools such as MLflow or Kubeflow, responsible AI and bias mitigation tools such as IBM AIF360 or Fairlearn, and explainability tools such as SHAP or LIME.
• English at C1 level required.

Nice to have

• AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, SAS Certified Professional AI and Machine Learning, or an equivalent certification.

Culture & Benefits

• Professional, dynamic, and collaborative workplace culture.
• Hybrid work arrangement with on-site work in Brussels and remote flexibility; 100% remote opportunities are also mentioned.
• International career opportunities with representation in Portugal, Belgium, Luxembourg, and Denmark and projects across multiple countries.
• Tech Visa support is available for candidates outside the European Union.
• Health and life insurance may be provided.