Brainbox Consulting BV aligning great talent with clients’ needs is at the core of who we are. We are passionate about our Consultants, our Clients, and our Partners. Our rich IT legacy combined with our unyielding care for our people and business is the driving force behind all we do, and we deliver! On this journey, we are looking for a IT Data Engineer who is also interested to take on a wide range of activities.
Job Description
The role contributes to multiple data engineering projects as a key team member, focusing on defining and building data pipelines that drive faster and more informed decision-making across the business. It supports the implementation of new big data solutions capable of handling high volumes and velocity of data, with scalability for future growth. The position involves working with the latest developments in testing and deployment techniques to support the rollout of new releases, including deploying new data pipelines and integrating additional data sources. Functioning within a Scrum team or as a Scrum Stakeholder (e.g., Agile White Belt accredited) when needed, the role gathers, analyzes, and models data and key performance indicators to deliver both quantitative and qualitative business insights in an agile environment. The individual works closely with stakeholders to manage data and KPIs of moderate complexity, supporting the development and deployment of innovative big data platforms.
Requirements:
- Master’s or Ph.D. degree in computer science, engineering, mathematics, theoretical science, statistics, or related scientific field
- 3+ years of experience with deep learning frameworks such as PyTorch or TensorFlow.
- 3+ years of theoretical and hands-on experience in deep learning and computer vision
- Theoretical and hands-on track record of experience working with the latest of Generative modeling for computer vision applications (VAEs, Diffusion Models, Flow Matching, etc.)
- Theoretical and hands-on track record of experience working with (Multi)Agentic AI tech stacks including LLMs, VLMs, etc.
- Proven examples of implementing experimental pipelines and prototyping Generative AI applications using LLMs and VLMs
- A mathematical background covering some subset of linear algebra, probability, multivariate calculus, geometry, and/or numerical methods
- Affinity with lifecycle and data management, and experience using Git to manage models, and source code
- Excellent coding skills in Python, and software development.
- Experience with cloud stacks and architectures, such as Azure, AWS, etc. Comfort with some flavor of Unix shell environment (e.g., bash)
- Must have legal authorization to work in Netherlands on a full-time basis for anyone other than current employer
- Publications in flagship venues of AI or related scientific journals or conferences is a plus
- Experience as a technical lead in Generative AI and computer vision projects is a plus.
Kindly Note: The job Location is The Hague, South Holland