
Machine Learning Engineer
At a glance
ABN AMRO is seeking a Machine Learning Engineer (MLE) to join the ML & AI platform enablement team. This role is ideal for individuals passionate about working at the cutting edge of financial services technology, developing a central Machine Learning (ML) platform to meet evolving business needs. The candidate will work closely with Azure DevOps engineers and is expected to have a robust set of technical skills in machine learning, system design, and coding, combined with strong business support.
Department Goal
Analytics Engineering is the infrastructural heart of ABN AMRO's data and analytics capabilities within Platforms & Technology department. We focus on building multifunctional data platforms in secure way for turning data into value. Our core technical characteristics are reliability, security, innovation, and sustainability.
Department Culture
Analytics Engineering (AE) has a young and dynamic culture, focusing on delivery, fun and innovation. We work in a sustainable environment and foster a start-up atmosphere. Team members are encouraged to experiment with new ideas while developing reliable solutions. The department values proactive engagement with technology and effective teamwork, facilitated by a Scrum/Agile working methodology.
Your job
As an integral part of ML platform team, you will be working with Azure DevOps engineers in order to develop ML platform and adapt it to multiple Data Science teams across ABN AMRO. Your main goal is to enable MLOps capabilities on the central ML platform based on user needs and create clear guidelines and processes on using it.
Main responsibilities
- Participate in the ideation and design of ML platform with Azure DevOps engineers;
- Experiment and implement new ML capabilities in the central ML platform;
- Development of mock use cases, CI/CD templates and standardized frameworks;
- Create guidelines and process for Data Science teams to use MLOps capabilities;
- Connect with domain Data Scientists and Machine Learning Engineers to understand pain points and bring it back to the central ML Platform team.
Your profile
- You have an academic background (MSc.) with a degree in Technology, Engineering or Mathematics;
- You have 3+ years of experience in building machine learning based solutions, applicants are expected to have some practical experience;
- You have a sense for business, and understand how machine learning delivers value;
- You are pragmatic and value-focused, e.g. not afraid to work with existing solutions to reduce time-to-market;
- You are able to communicate effectively with technical and business counterparts;
- You are a team player that requires minimal steering to be productive;
- You are up to date on the latest developments within ML and can guide others in finding optimal solutions;
- You are familiar with the ‘tools of the trade’, e.g. Python, Spark, Git…;
- You have experience with Azure Cloud, specifically Machine Learning Cloud solutions, such Azure ML and Databricks;
- You are fluent in English.
Equal opportunities for all
The success of our organisation depends on the quality of our people and the ideas that they have. Truly surprising insights and innovative solutions for our clients result from an interplay of cultures, knowledge and experience. Diversity is therefore extremely important to our organisation. To ensure that everyone at ABN AMRO can develop their talents, we encourage an inclusive culture in which all colleagues feel engaged and appreciated.
Disclaimer external recruitment agencies
External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. In addition, a recruitment agency can only submit a resume when invited by a Talent Acquisition Specialist to join the search for a right candidate. All unsolicited resumes sent to us will be considered property of ABN AMRO BANK N.V. In this case, ABN AMRO will not be held liable to pay a placement fee.