Machine Learning Engineer@ING Hubs Romania

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?  

Here’s a sneak peak of what our colleagues say about working within ING Hubs Romania:

• At ING, we're building the solutions of tomorrow, today | 80% of our colleagues in Romania agree

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).