Chapter Lead Machine Learning... Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many...
Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, omni-channel distribution strategy and an international network. If you want to work at a place where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to delivering stable and secure services to end-users, and where we have a 'no-nonsense' getting-things done mentality, please read on!
As a chapter lead of Machine Learning Engineering, you will be joining ING’s Advanced Analytics global organization. You will create opportunities for your chapter employees to reach their full potential and encourages team development. You create a culture in which employees take responsibility, help each other to be successful and remain a step ahead. You manage the performance review process for your chapter colleagues.
You work part-time as a Machine Learning Engineer: Be a regular squad member and continue to apply your Machine Learning and Software Engineering expertise to your squad’s backlog and positively contribute to putting research into production, the vision in your area, introduce and nurture innovation within it.
You discuss the chapter's resource planning and development needs with the global head of analytics product engineering. Encourage knowledge sharing and apply machine learning engineering best practices to analytics applications.
ING Analytics is an organisation responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organizations within the banking sector and beyond. The organisation consists of a several Global Analytics Centres of Excellence around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime & RegTech, Customer Intelligence, etc.) as well as strong coordination areas around people capabilities, technology, data, tooling, and external partnerships.
The Data, Tools & Technology team is one of the five core teams within ING Analytics Unit. It is responsible for driving overall strategy and roadmap for analytics platforms, technology and tooling, productionization of analytics models and data roadmap for all the workstreams, change management activities and their interdependencies.
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What do we offer?
Working at ING means working in a dynamic and international setting. Individual development of our employees is very important and that is why ING offers excellent courses and programs. We only hire people with exceptional talents and capabilities! You will work on the most innovative projects within ING. In addition, we offer:
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For further inquiries, please contact firstname.lastname@example.org
We are looking forward to getting to know you.
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