As Artificial Intelligence Engineer you function as lead developer for models on AI Technology Platforms and ensure the
Models meet functional and non-functional requirements.
You make sure the model execution performs as expected and model performance consistently meets or exceeds the requirements established while accounting for Cybersecurity and Operational Excellence.
You Analyze requirements identified in close collaboration with the Business Analyst and other IT colleagues and assist in converting these requirements into an algorithmic model.
To make sure that qualitative applications can be developed, you perform and document the modeling and iterations of the proposals from the Digital Product Manager or Product Owner.
You convert the functional/technical analysis into a model within the sprint time box (Agile methodology), according to development standards and methodologies in order to resolve the product backlog and thus deliver on business value.
You provide continuous consultancy about possible process improvements and the quality of the tools being used in order to strengthen the cooperation with the business or end user.
You assist the Digital Product Managers, Product Owners and project leader in the functional area by providing follow-up and guidance of programming and implementation of new or modified programs or applications so as to guarantee a fluent execution of the product roadmap/project.
You design and challenge future proof functional solutions that take into account the global context of all different business lines in order to have a solid basis for future implementations.
You update and maintain professional knowledge and demonstrate up-to-date expertise on the company processes within the assigned functional domain in order to do profound research and recommend solutions and improvements for the benefit of the organization.
MasterIT, applied mathematics, applied economics, engineering or other business oriented degree engineering or equivalent by experience.
A minimum 2 years of relevant experience
Knowledge and experience with algorithmic modeling using structured and unstructured data
Experience in and/or good knowledge of business processes is a big advantage
Knowledge and experience with Python, R and/or machine learning libraries
Knowledge and experience in creating visualizations and explanations to successfully communicate results and/or findings from applying models to solve business problems.
Excellent knowledge of English
Accurate, methodical and systematic way of working
Strong analytical and problem-solving skills
Able to work independent as well as in team
A customer-focused approach with flexibele mentality
Sense for initiative
Positive open mentality and willingness to listen
A competitive salary with benefits such as meal vouchers and insurance.
Flexible working hours and a healthy work-life balance.
20 paid vacation days and 12 WTR days.
An easily accessible work location, no traffic congestion.
Lots of support and an encouraging team of co-workers.
An infectious ‘We Are One’ can-do mentality.
A people-centric culture where your fitness and mental well-being matter.
Healthy lunches and weekly fruit days.
Lunch breaks and sports facilities in TVH Park, the company’s green zone.
Access to LinkedIn Learning and many in-house and external training courses.
Fun afterworks and other optional events (e.g. TVH Kaffee).
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