Machine Learning Engineer@ING Hubs Romania

Posted 4 Days Ago
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Bucharest, București
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
As a Machine Learning Engineer, you will develop and maintain ML pipelines, support Google Cloud Infrastructure, ensure code quality, and conduct trainings. Collaborate with Data Scientists and effectively communicate with stakeholders to bridge data science and engineering.
Summary Generated by Built In

Discover ING Hubs Romania 

ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 high-performing engineers, risk, and operations professionals. 

 

We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca. 

 

Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data and Analytics Tech, Tech Foundation and Channels, Retail Core Banking and Architecture, and Global Products and Technology Services. 

We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.  

 

For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?  

 

The Mission

We are looking for a strong development expert with a passion for machine learning engineering who can help us set new standards in model development and in maintaining our Google Cloud architecture using Python within an agile environment. You will also help shape our agentic AI capabilities, including toolcalling and orchestration where possible. In this role, you will bridge the gap between data science and production engineering by transforming prototypes into reliable, highperformance solutions. 

 

Your day to day 

 

  • Working together with a Data Scientist to design and maintain endtoend ML pipelines using Vertex AI Pipelines, including data preprocessing, training, evaluation, and deployment steps. 

  • Support the platform team maintaining Google Cloud Infrastructure resources & programs according to a set of coding standards. 

  • Participate in technical analysis design & estimate duration of programming and unit testing phase for the tooling. 

  • Be part of a CI/CD environment. 

  • Work with: Python, VertexAI, DataProc, Azure DevOps. 

  • Keep the technical documentation up-to-date with new/changed technical design details during implementation & provide technical insight, actively participate in feature analysis. 

  • You take responsibility of your code, from IDE to local development environment to production. 

  • Perform unit testing and register tests results after implementation to assure that every component of the application that was added or changed is working properly. 

  • A modern & agile environment. 

  • Provide workshops & trainings to Data Scientists and Data Analysts. 

  • Set standards in MLE world and drive best practices. 

  • Communicate effectively with stakeholders to ensure alignment between technical solutions and business needs. 

 

What you bring to the team 

 

  • Solid understanding of Python  

  • Solid understanding of OOP concept 

  • The strong foundational knowledge and ability to adapt to new technologies and paradigms that are often found in development experts are considered more important than most missing nice to haves in this list 

  • Experience working with infrastructure as a code  

  • Basic understanding of ML frameworks (Pandas, Numpy, SciKit-Learn) 

  • Experience with Python, Spark, VertexAI, DataProc, Azure DevOps, Linux, Jupyter Notebooks, BigQuery, Google Cloud Storage 

  • Familiarity with agentic AI architectures, including tools/workflows for autonomous agents, toolcalling, reasoning frameworks, or multi-step orchestrations. 

  • Experience working within Continuous Delivery or Continuous Deployment processes 

  • Understanding of the benefits of unit/integration testing discipline  

  • Superb analytical and problem-solving abilities 

  • Good communication skills, awareness towards emotional intelligence factors and excellent ability to speak & write English 

  • Nifi and Kafka knowledge is a plus 

  • +5 years of experience 

If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the privacy notices on our website (make sure to scroll until you reach the Data Protection section/ Candidates tab). 

Top Skills

Azure Devops
BigQuery
Dataproc
Google Cloud Storage
Jupyter Notebooks
Kafka
Linux
Nifi
Python
Spark
Vertex Ai
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The Company
Amsterdam, North Holland
65,710 Employees

What We Do

ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers

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