EUROPEAN DYNAMICS

Expert, AI/NLP/ML

EUROPEAN DYNAMICS

full-time

Posted on:

Origin:  • 🇧🇪 Belgium

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Job Level

SeniorLead

Tech Stack

AnsibleAWSCloudDockerKubernetesPythonTensorflowTerraform

About the role

  • 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 company’s 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 client’s 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;
  • Leveraging AWS Cloud Services (e.g., S3, Lambda, SageMaker, Bedrock, API Gateway, ECS/EKS, CloudFormation/Terraform);
  • 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

  • Master’s 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.