Senior Machine Learning Engineer in COO Analytics

REQ-10106275
23/12/2025
IT Engineering
Amsterdam, Netherlands
€5.485,70 - €8.828,03
ING Bank

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Think Forward! Our goal is to help people advance inlifeand business. We are a well-established brand with strong financials, global reach, and omni-channel strategies. If you value innovation, agile principles balanced with compliance and quality, reliable service, and a practical work approach, this is the place for you.

What department?

The Analytics Engineering Center of Excellence team, with over 50 members and expanding, aims to make ING data-driven byleveragingBig Data and Data Science to deliver impactful solutions. We foster a collaborative and creative work environment focused on supporting our people and projects.

Role description

Your passion is to work with the latest and greatest technologies in the field of Machine Learning Engineering.

Do you recognize yourself in this profile:

Experience working on machine learning projects

Practical experience developing with Python

Experience designing distributed software with cloud-based managed services (preferably GCP)

Familiarity with machine learning technologies and frameworks, such assklearn,MLFlow, TensorFlow (including those available on GCP)

Understanding ofMLOpsarchitecture and methodologies

Knowledge of software engineering practices including version control, testing, documentation, and code review

Experience building data pipelines, including ETL processes and data processing frameworks likepySpark

Proficiencyin data manipulation and transformation using tools such as SQL

Background in monitoring and observability with tools like the ELK stack

Experience implementing deployment and provisioning automation tools including Docker, Kubernetes,Openshift, and CI/CD

Nice to have (but Not Required):Even if youdon'tmeet every requirement, we encourage you to apply. Experience in these areas is a bonus:

Proficiencyin Bash scripting and Linux systems administration

Experience in developing andmaintaininghigh load APIs

Experience with distributed systems and clusters for batch and streaming data (S3/Spark/Kafka/Flink)

Experience working within an agile/scrum framework

Willingness or ability to use multiple programming languages, such as statically typed languages

Contribution to open-source projects is consideredadvantageous

Involvement in the implementation and deployment of cloud solutions incorporating Generative AI and LLM technologies

Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. https://careers.ing.com/en/benefits-NL

The benefits of working with us at ING include:

25-28 vacation days depending on contract
Pension scheme
13th month salary
8% Holiday payment
Hybrid working
Personal growth and challenging work with endless possibilities
An informal working environment with innovative colleagues

About us
Curious about how ING empowers people and businesses to move forward? https://careers.ing.com/en/working-in-the-netherlands

Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.

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Your place of work Explore the area

Questions? Just ask
Orhan Sari

Ask by email

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ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.