We currently have a vacancy for an Expert in AI/NLP/ML fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the companys premises or on-site at the customer's premises. In the context of the first assignment, the successful candidate will be integrated into the Development team of the company that will closely cooperate with a major clients IT team on-site.
Tasks:
Engaging with Business stakeholders, organising workshops and meetings to gather requirements;
Analysing needs in the archiving domain and translating them into robust technical specifications;
Designing and proposing AI- and cloud-based architectures that are secure, scalable, and costeffective;
Developing, testing, and deploying solutions leveraging Large Language Models (LLMs), vector databases, and orchestration frameworks (e.g., LangChain);
Building prototypes, Proofs of Concept, and production-ready services using Python and Jupyter Notebooks;
Preparing and maintaining technical documentation, ensuring knowledge transfer within the team;
Integrating solutions into existing data and archiving systems;
Monitoring, optimising, and supporting deployed solutions over time;
Collaborating closely with Business, IT Infrastructure, and Security teams to ensure long-term sustainability.
Requirements
Masters degree in IT or a relevant discipline, combined with a minimum of 13 years of relevant working experience in IT;
At least 3 years of experience in LLMs: fine-tuning, prompting strategies, evaluation, and deployment;
At least 2 years of experience in LangChain or equivalent frameworks for LLM orchestration;
At least 2 years of experience in Vector databases;
At least 2 years of experience in Python, with practical use of Jupyter Notebooks;
At least 2 years of experience in AWS services for AI, data, and cloud-native development;
At least 1 year of experience in Machine Learning Operations, including CI/CD pipelines and monitoring of AI solutions;
At least 1 year of experience in data engineering and archiving best practices;
Good knowledge of Docker, Kubernetes and security best practices in AI and cloud-based deployments would be an advantage;
Knowledge of DevOps/Infrastructure-as-Code tools beyond AWS (Terraform, Ansible) and data governance frameworks and compliance standards (e.g., GDPR) would be an advantage;
AWS Solutions Architect, AWS Machine Learning, AWS DevOps Engineer, TensorFlow Developer or equivalent AI/ML credentials, Kubernetes Administrator (CKA), TOGAF or equivalent enterprise architecture framework certifications would be an asset;
Excellent command of the English language.
Benefits
If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English.
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
Job Opening in Brussels, Belgium (SID 19007) Vasiliki Kandilioti
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