Location: Brussels, Belgium
Work Type: Hybrid (twice a week on-site)
Language requirement: English + French and/or Dutch (preferred)
Start date: ASAP
Duration: 6 months with possible extension
JOB DESCRIPTION
Are you a passionate machine learning engineer with expertise in generative AI? Join our Machine Learning Enablers team where you'll play a key role in advancing our generative AI capabilities. You will leverage your expertise in architectures such as retrieval-augmented generation and agent-based systems to develop and enhance reusable AI components, enabling our data scientists to create impactful and scalable solutions.
In this role, you will collaborate closely with data scientists and engineers from our Cloud and Dev Sec Ops teams to implement best practices and ensure technical excellence across multiple projects. Utilizing open-source frameworks like Lang Chain and Azure-based tools, including the Azure AI Services suite, you will maintain and expand our repository of AI assets. Your innovative mindset will help identify and develop state-of-the-art solutions that deliver business value, while your commitment to staying current with AI advancements will ensure our team remains at the forefront of technology.
As a member of the Machine Learning Enablers team, you will actively research and develop agent-based AI use cases, focusing on multi-agent systems. Your work will support the day-to-day needs of our data scientists through the practical maintenance and enhancement of AI assets, while also driving innovation in our AI initiatives.
Responsibilities
Develop and Maintain our Generative AI Repository
Manage and expand our repository of reusable Generative AI components on Azure Dev Ops, ensuring it's robust, up-to-date, and user-friendly, and implements MLOps standards.
Collaborate with data scientists to identify new components to build, provide technical support, and promote best practices in using the repository.
Develop and Implement Agent-Based AI Solutions
Research and experiment with multi-agent systems and emerging frameworks to address real-world use cases in the customer’s context.
Develop proof-of-concept projects to validate innovative multi-agent AI applications.
Design and create reusable components that enable data scientists to integrate agent-based approaches into their projects.
Collaborate and Drive Technical Excellence
Implement and promote machine learning best practices (e.g., MLFlow), ensuring high-quality standards across the team.
Collaborate with Cloud and Dev Sec Ops engineers to ensure we deliver high-quality, scalable, and maintainable AI solutions, contributing to setting technical and architectural standards.
Stay current with the latest trends, models, and frameworks, and communicate them to the team.
Education
Master’s degree in Artificial Intelligence, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.
A Ph.D. is a plus, especially with research in Generative AI or agent-based systems.
Professional Experience
Minimum of 2 years of relevant work experience in a business environment.
Proven experience working with generative AI models and LLMs in real-world projects.
Demonstrated ability to develop proof-of-concept projects, and transition innovative solutions to production-ready components.
Strong collaboration and communication skills, with experience working alongside a diverse team of technical and non-technical stakeholders.
Technical Skills
Strong coding skills in Python, with proficiency in software development best practices, including version control (e.g., Git) and Dev Ops (e.g., CI/CD pipelines).
Hands-on experience implementing MLOps best practices (e.g., experiment tracking with MLFlow).
Experience with Microsoft Azure and Azure AI Services.
Experience with Lang Chain and other Generative AI frameworks.
Ability to drive innovation by experimenting with new techniques and frameworks to solve real-world problems.
Familiarity with Retrieval-Augmented Generation architectures and improvement techniques.
Strong communication skills for providing technical support, mentorship, and clear guidance to team members.
Strong collaboration skills and ability to manage tasks independently.
Excellent analytical and problem-solving skills with keen attention to detail.
Nice to Have
Experience contributing to the development of reusable AI components or libraries, contributions to open-source AI projects.
Experience with multi-agent systems and related frameworks (e.g., Lang Graph, Crew AI, Auto Gen).
Familiarity with monitoring and evaluation tools for generative AI applications.
Languages
Fluent in English and preferably also French and/or Dutch.
Job Type: Permanent contract
Pay: €1.800,00 - €2.200,00 per month
Schedule:

• Day shift