ThoughtLabs Belgium

Machine Learning and NLP (LLMs, Transformers, GPT), Python (Pandas, SpaCy, NLTK, Hugging Face), TensorFlow / PyTorch, SQL & NoSQL (PostgreSQL, Oracle, MongoDB, Elasticsearch), data visualization (Matplotlib, Seaborn), MLOps (CI/CD, A/B testing, model serving, GPU optimization), ML bias and ethics, graph science and recommender systems. Show more [{"type":"people_also_viewed","href":"https://be..com/jobs/view/data-scientist-client-at-laco-4361282945","jobId":"4361282945","label":"Data Scientist (Client)"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/python-swe-at-great-value-hiring-4370033246","jobId":"4370033246","label":"Python SWE"},{"type":"people_also_viewed","href":"https://be..com/jobs/view/ai-nlp-ml-expert-at-european-dynamics-4344352794","jobId":"4344352794","label":"AI /NLP/ ML Expert"},{"type":"people_also_viewed","href":"https://be..com/jobs/view/data-ai-scientist-at-thales-4343741578","jobId":"4343741578","label":"Data & AI Scientist"},{"type":"people_also_viewed","href":"https://be..com/jobs/view/machine-learning-researcher-at-montash-4356113638","jobId":"4356113638","label":"Machine Learning Researcher"},{"type":"people_also_viewed","href":"https://be..com/jobs/view/data-scientist-h-f-at-mca-belgium-4369149392","jobId":"4369149392","label":"Data Scientist H/F"},{"type":"people_also_viewed","href":"https://be..com/jobs/view/ai-scientist-at-keytrade-bank-4369456852","jobId":"4369456852","label":"AI Scientist"},{"type":"people_also_viewed","href":"https://be..com/jobs/view/data-scientist-intermediate-at-almaviva-de-belgique-4364903894","jobId":"4364903894","label":"Data Scientist - Intermediate"},{"type":"people_also_viewed","href":"https://be..com/jobs/view/internship-in-ai-ml-2026-at-devoteam-4370429296","jobId":"4370429296","label":"Internship in AI/ML 2026"},{"type":"people_also_viewed","href":"https://www..com/jobs/view/data-scientist-957-w2-eor-remote-at-braintrust-4366042132","jobId":"4366042132","label":"Data Scientist - 957 (W2/EOR- Remote)"}]

Your tasks: Architect and implement secure, interoperable solutions using standard frameworks and design patterns, integrating application and infrastructure to achieve scalability and efficiency; Develop robust, vendor-agnostic data platforms for AI and machine learning workloads and optimizing multi-cloud environments for performance and flexibility; Design of structured MLOps pipelines automating and streamlining the models’ lifecycle, from development to serving; Design security architectures that protect infrastructure and applications, aligning with risk management strategies and regulatory data protection and security standards; Continuously assess and optimize system performance and scalability using advanced metrics and predictive analytics; Collaborate with cross-functional teams, including AI developers, business analysts and IT operations, to ensure architecture aligns with business objectives and technological capabilities; Establish CI/CD pipelines to support rapid application development and deployment in dynamic 2 environments, utilizing infrastructure-as-code and configuration management tools; Ensure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing and continuous benchmarking Requirements: University degree in IT or relevant discipline, combined with minimum 15 years of relevant working experience in IT; Experience in containerization and orchestration using Docker and Kubernetes for scalable application deployment; Experience in network architecture design, particularly integrating distributed systems with hybrid cloud solutions; Experience with advanced load balancing solutions and caching technologies (e.g. Redis) to support high-traffic applications; Experience with relational and non-relational databases, optimizing them for high-volume transaction processing (e.g., Oracle, PostgreSQL, MongoDB); Excellent knowledge of version control systems like Git and integration platforms such as Jenkins, GitLab CI; Knowledge of advanced monitoring tools like Prometheus and Grafana to enhance infrastructure monitoring and real-time alerting; Knowledge of security and vulnerability scanning tools (e.g., OWASP, SonarQube), implementing secure coding practices including robust encryption and identity management; Knowledge of distributed streaming and message queue technologies such as Kafka and RabbitMQ to efficiently manage data flows and support scalable data processing architec...