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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.
Key Skills
Ranked by relevance
aws
ai
machine learning
kubernetes
cloud
tensorflow
terraform
ansible
python
docker
devops
gdpr
cicd
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- Posted
- Sep 09, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Brussels
- Company
- Infinity Quest
Industries
IT Services
IT Consulting
Categories
Business Development
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