About... 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...
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 Machine Learning Engineer you will be joining ING’s Advanced Analytics global organization and will partner with Data Scientists in our centre of expertise to research, design and implement leading-edge algorithmic products. We are looking for a passionate, Senior-level, ML Engineer/Applied Scientist with a strong background in machine/deep learning and experience building Machine Learning pipelines to help us operationalise/productionalise world class ML models at scale.
You will be part of technology team, taking care of the software engineering challenges associated with data science and machine learning. You will be serving and deploying models, putting research into production. Through collaboration with architects, data engineers and data scientists, you’ll write code that applies AI technology to optimize the development and put them into production including post deployment production. Leveraging your knowledge and experience of back-end programming languages and architecture, you will also write the scalable and performant microservices that host the algorithms in both on-premise and cloud environments.
You will be responsible for:
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 number of 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, industrialisation of analytics models and data roadmap for all the work streams, 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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If this is the sort of environment you thrive in, then apply and join us.
We look forward to getting to know you!
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