Semantic AI & Cloud Solutions Engineer - Hybrid

Our client is a leading supplier of software products in the field of eCustoms internationally.

The company supplies software products and IT services to European Union Institutions and Agencies, international organisations and national government administrations.

The company employs over 1100 engineers, IT experts and consultants.
The group’s staff is multilingual and multinational with in-depth experience in the delivery of services to the government sector worldwide.

Currently we are looking for a Semantic AI & Cloud Solutions Engineer to join the team as a long-term Contractor (B2B) / Freelancer.

Based in Luxembourg, working mode: Hybrid.

If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference.

• Shape the future of data systems: Define conceptual specifications that drive the creation, evolution, and optimization of semantic systems, with an emphasis on secure, reliable, and user-friendly data flows;

• Enable seamless transformations: Develop implementation and migration strategies that ensure smooth transitions and long-lasting, sustainable architectures;

• Bring semantic data to life: Configure and maintain triplestore servers (Apache Jena, Virtuoso) and integrate semantic data into business intelligence tools, turning raw information into actionable insights;

• Leverage AI for smarter systems: Design and deploy predictive models, recommendation engines, and LLM-powered semantic reasoning to uncover hidden relationships and patterns in data;

• Build resilient cloud solutions: Develop and manage cloud-based Semantic Web applications (AWS Lambda, Azure Functions, S3/Storage) that are scalable, secure, and high-performing;

• Automate for efficiency and reliability: Apply DevOps and CI/CD practices (Jenkins, GitLab CI/CD, AWS CodePipeline, Azure DevOps) to streamline testing, deployment, and monitoring;

• Ensure peak performance: Monitor, troubleshoot, and optimize Semantic Web systems for speed, reliability, and cost-effectiveness;

• Communicate with impact: Deliver presentations, recommendations, and training that align stakeholders and share knowledge effectively.

• Guarantee continuity: Manage takeover and handover processes, preserving institutional knowledge and ensuring smooth transitions.

• University degree in IT or relevant discipline, combined with minimum 4 years of relevant working experience in IT;

• At least 3 years of experience in Python;

• At least 2 years of experience in AWS Cloud Computing services and Docker;

• At least 2 years of experience in Java (Java SE, Java EE, EJB, Applet, etc.);

• At least 2 years of experience in Linux;

• At least 1 year of experience in data modelling (BPMN, ARIS, EPC, Flowcharts), data analysis (Microsoft PowerBI, KNIME, Hadoop, Spark) and data processing (Kafka, Airflow, Kuberflow, LangChain, Langraph);

• At least 1 year of experience in machine learning, Large Language Models (LLMs) and Deep Learning Frameworks (Transformers , TensorFlow , PyTorch, AWS Bedrock, AWS SageMaker AI, Terraformers , Haystack);

• At least 1 year of experience in API Gateway;

• At least 1 year of experience in Microsoft Windows 7 and higher;

• At least 1 year of experience in Perl, R and C++;

• At least 1 year of experience in monitoring tools(e.g. ELK, Datadog, Dynatrace);

• At least 1 year of experience in Version control(e.g. SVN, Bitbucket) and Collaboration systems (Jira, Confluence, Microsoft Office 365);

• At least 1 year of experience in one of the following: OWL 2, RDF, RDF-S, Triple stores(Virtuoso or equivalent) and SPARQL 1.0/1.1;

• Excellent command of the English language.

• You'll drive innovation and impact by shaping AI-powered Semantic Web systems that influence strategic decisions.
• You'll grow and learn continuously, mastering semantic technologies, AI/ML, and cloud solutions while expanding your expertise.
• You'll lead and collaborate on projects end-to-end, working with diverse teams and enjoying the autonomy to make meaningful contributions.