Senior Machine Learning Engineer
Are you a technical expert and enthusiastic person who inspires others to create innovative solutions? Then we need your help in making ABN AMRO a personal bank in a digital age!
How are you going to shape innovation, advancements and projects within your department? Our employees get the freedom to grow and experiment. You support and guide them, so they can become the technical and data savvy experts that contribute to a future-proof bank. When and where you and your team do you work, that is up to you! We work hybrid, which means you and your team can flexibly decide where and when you can work most comfortable and effectively.
All-in-all, working at ABN AMRO Dialogue Orchestration Grid means that you contribute to projects that matter and impact millions of customers!
What does Grid Dialogue Orchestration do?
With our knowledge, skills, and ambition we lead the reinvention of customer interaction and effortless digital processes, whether it be personal, private or business clients. To do this, we orchestrate and enable all digital interactions and experiences for our customers. We leverage data and analytics to deliver pro-active experiences tailored to our customers’ needs. Only when we correctly, seamlessly, and effortlessly match our solutions to customers and their intents, can we truly help all our customers first-time right. As a new department (Grid) within ABN AMRO, we are keen to scale up our efforts rapidly to become the personal bank our customers deserve.
Are you up for the challenge?
Job description
As an integral part of our Machine Learning Engineering block team, you will be working with other MLEs to enable MLOps capabilities on our central ML platform based on user needs (Data Domains) and create clear guidelines and processes around the subject. You will also work closely with cross-functional teams, including data-scientists, data-engineers and business stakeholders, to ensure the stability, reliability, and security of our platform and models.
You will be part of the Dialogue Orchestration department, which is at the heart of the innovation and growth strategy of our Personal & Business Banking business line.
The team you are going to be part of, is a multidisciplinary group of ambitious colleagues working with an Agile mindset and with a focus on building and enabling hyper-personalisation use-cases for the bank. In this team we work hard, learn a lot by challenging ourselves every day, while embracing humour for a good atmosphere. Openness, transparency, quality and ownership are key values.
You feel at home in a technical and data savvy environment and find challenge in keeping up to date with the latest technologies. You are a team player and at the same time can progress your work independently. You get enthusiastic from a creative and dynamic working environment.
Do you think you‘re a fit? Check your profile:
Job function / General Responsibilities
- Educating yourself and others with the right technical capabilities and the latest innovations
- Mentoring your MLE colleagues on technical craftmanship
- Develop and productionise use cases with Data Scientists, automating tasks where possible i.e. via CI/CD templates, standardized frameworks
- Apply MLOps principles and mentality, e.g. to streamline deployment and post-deployment steps of use cases to central platforms, and iteratively improve the entire model management life cycle as a whole
- Participate in the ideation and design of ML platform with platform engineers
- Create guidelines and mature processes for Data Science teams to use MLOps capabilities
- Experiment and implement new ML capabilities
- Create a collaborative atmosphere in the MLE community of practice
What we are looking for:
- 3+ years of experience in building machine learning based solutions, applicants are expected to have some practical experience;
- You are pragmatic and value-focused, e.g. not afraid to work with existing solutions to reduce time-to-market;
- Programming, Python and SQL. Producing high quality Python code.;
- Software engineering, adept in software and ML lifecycle, modern engineering practices;
- You are familiar with the ‘tools of the trade’, e.g. scripting tools (e.g. bash, unix), Mlflow, Apache Airflow, Git, Docker, Kanban boards etc.;
- Experience with Cloud services and tooling, preferably Microsoft Azure; and ML platforms such as Databricks and Azure machine learning services;
- Excellent salary (above is based on 36-hour work week)
- 25 vacation days based on 40 hours (with an optional 14 days extra)
- Personal development budget of € 1,000.00 per year (next to training to keep your knowledge and certifications up to date)
- Benefit budget of 11% (of your salary). You can decide how you want this to be paid out. For example, as extra holiday allowances, a lease bike, or as salary
- Banking for better days. These are days you can work on your personal development or contribute to society
- Good set of facilities for remote working. Good to know, we have adopted a hybrid model of working with 2-5 office days
- Solid pension plan that will set you up for the future
Are you interested? Then respond to this vacancy. For more information, you can contact Richard Jansen at richard.jansen@nl.abnamro.com
We would like to get to know you!
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.
External recruitment agencies must have signed an agreement with ABN AMRO BANK N.V., issued by a Talent Acquisition Specialist, in order to submit CVs. Acquisition is therefore not appreciated.
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