Tech Lead - Machine Learning... ING is looking for an experienced Tech Lead to help build the Analytics Platform and enable our Global Analytics... Job... As tech lead of the Machine Learning Platform, you will...
Tech Lead - Machine Learning Platform
ING is looking for an experienced Tech Lead to help build the Analytics Platform and enable our Global Analytics ambition
As tech lead of the Machine Learning Platform, you will be joining ING’s global Analytics organization. You will work as a Platform Engineer in the squad and apply your Software Engineering expertise and domain experience in developing the platform for productionalizing machine learning models. You positively contribute to putting research into production and introduce & nurture innovation within it. Additionally, you will work closely with data scientists, architects, product managers and engineers to cocreate the Analytics Platform vision.
Your passion is to work with the latest and greatest technologies, you’re proactive in keeping yourself up to date and experimenting with new technologies. You enjoy laying the architectural foundation while aligning the business problem with the right technology. You combine both thinking of the future and a hands-on, right now, attitude. You identify on which fronts a team can grow and help them get there. You work in a team with highly skilled people and enjoy a creative atmosphere where experimentation is encouraged. You have a learning attitude not only to master new technologies and programming languages but also on the interpersonal level. You ask and give feedback. You feel at home in a high-performing team and you make the other team members feel at home as well. You have the independence to speak up when needed.
Your work environment
The ING WB Advanced Analytics team is a team of 120 people that has the mission to make ING data-driven. We do this by combining UX research and engineering with data science to deliver high-value solutions and products for our organization. We work in a fun and creative environment and we’re dedicated to bringing out the best in both each other and our projects. We have offices in Amsterdam (main office), London, Warsaw, Katowice and Bucharest.
Before a machine learning model can add value to an organization, it needs to run in Production. Getting a model to production is notoriously challenging. You need to account for data management, IT, compliancy, monitoring, integrating with other applications, etc. Going through this process for every model is both time-consuming and expensive. To empower engineers and data scientists across ING to easily deploy and run Machine Learning Models in production, safely, compliant and at scale, the Machine Learning Platform was created.
The team is one of the teams of the Data Analytics Platform, and is currently responsible for the part of the platform that supports the productionalization of embedded analytics models.
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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:
With around 52,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to make a diﬀerence. We hire smart people like you for your potential, not your past. Our biggest expectation is that you’ll stay curious. Keep learning. Take on more responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.
If you want to work at the cutting edge of what’s possible, surrounded by progressive, inspiring and supportive colleagues, there is no better place to invest your talents than at ING. Join us!
Are you keen to know more or apply?
For further inquiries, please contact Rahina Gaffar, Business Manager Wholesale Banking Advanced Analytics, .
We are looking forward to getting to know you!
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