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AI-Powered Job Summary
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Some key responsibilities:
- Designing and implementing end-to-end AI solutions spanning GenAI, classical ML, computer vision, and agentic systems, tailored to the specific needs of enterprise customers.
- Translating ambiguous customer problems into concrete technical architectures, engaging directly with clients to define requirements and align on objectives.
- Developing and deploying production-ready AI backends using tools like Python, FastAPI, and Docker, with a strong focus on reliability and scalability.
- Building and maintaining evaluation pipelines, including LLM-as-a-Judge agents, to ensure continuous quality assurance from development through to production.
- Developing and maintaining MLOps pipelines, including data preprocessing, feature extraction, model training, and monitoring.
- Conducting research to stay current with the latest advancements in generative AI, machine learning, computer vision, and deep learning, and identifying opportunities to apply them for our customers.
- Collaborating with cross-functional teams to ensure AI solutions align with broader business goals and customer expectations.
- Developing clear and concise documentation, including technical specifications and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Providing technical mentorship and guidance to junior team members.
- Excellent written and verbal communication skills in native Dutch and English (French is a plus).
- You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master's or PhD is a strong plus.
- You have solid hands-on experience building and deploying AI systems, whether GenAI, classical ML, computer vision, or a combination.
- You are proficient in Python and have experience with relevant frameworks such as PyTorch, TensorFlow, OpenCV, LangChain, or LangFuse.
- You are comfortable working across the AI stack, from prompt engineering and RAG architecture to model training, evaluation pipelines, and cloud deployment.
- You are familiar with cloud-based platforms and services, such as Azure.
- You have experience with containerisation tools such as Docker and API development frameworks such as FastAPI.
- You possess strong problem-solving skills and can think critically and creatively to develop innovative AI solutions.
- You have strong communication skills and can effectively convey complex technical concepts to a diverse audience.
- You possess a proactive mindset and can work independently and collaboratively in a fast-paced, dynamic environment.
- Showing your passion through GitHub repos, open-source contributions, or prior engagements in Kaggle competitions.
- Experience with computer vision techniques such as synthetic data generation, object detection, or image segmentation.
- Experience with MLOps tooling, including CI/CD pipelines, Azure DevOps, GitHub Actions, or infrastructure-as-code tools like Terraform.
- Exposure to agentic frameworks and multi-agent system design.
- Publications in relevant AI/ML conferences and journals.
- Experience in one of our focus domains: Data Quality, Retail, Manufacturing, Finance.
- A rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalisation, group insurance, and a top-tier laptop and smartphone.
- Benefit from a company culture that stimulates both individual and team development, fostering professional growth.
- Utilise your innovation budget for engaging in exciting, educational, and challenging open-source projects within your guild.
- Participate in team-building activities and gatherings, a great opportunity to unwind and engage with our vibrant team initiatives.
- A flexible hybrid working policy to choose where, how, and when you want to work.
Key Skills
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