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Some key responsibilities:
- You understand the business needs of our customer, while you have an ability to translate those into technical, functional and non-functional requirements so you can contribute in designing appropriate solutions for our customers.
- Use Python to deploy production ready pipelines and ML models on primarily Microsoft Azure, but you are also open to get hands-on with Google Cloud or AWS.
- You will work together with both your colleagues in the Project Management & Delivery team, Machine Learning department as well as with the Software Engineering department.
- Keep up with and apply state of the art ML research.
- Excellent written and verbal communication skills in native-English or native-Dutch (French is a plus).
- A degree in Computer Science, Artificial Intelligence, or related field.
- Proficiency in programming languages such as Python.
- Familiarity with machine learning frameworks.
- Excellent problem-solving and analytical skills.
- Working experience with cloud computing platforms (Microsoft Azure is a plus).
- Showing your passion through GitHub repos or prior engagements in Kaggle competitions
- Proven track record of developing and deploying scalable machine learning models.
- Publications in relevant AI/ML conferences and journals.
- Strong communication and teamwork abilities.
- Experience in one of our focus domains: GenAI, 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 hospitalization and group insurance, along with a top-tier laptop and smartphone.
- Benefit from a company culture that stimulates both individual and team development, fostering your professional growth.
- Utilize your innovation budget for engaging in exciting, educational, and challenging open-source projects within your guild.
- Participate in (virtual) 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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