AI Engineer | Wholesale Banking Lending @ING Hubs Romania
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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 our office in Bucharest.
Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.
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
As an engineer in the AI Chapter, you will be part of the Wholesale Banking Lending Tech organization. The AI Chapter focuses on delivering AI-driven capabilities across Lending, including data extraction, AIOps, and intelligent automation.
The chapter works closely with engineering squads, data teams, and business stakeholders to develop and scale AI use cases that improve efficiency, risk management, and decision-making. You will contribute to multiple initiatives within the AI portfolio, gaining exposure to different use cases and technologies.
Your day to day
In this role you will:
Develop and scale AI/GenAI and machine learning use cases in the Lending domain
Translate business problems into data-driven and AI-enabled solutions
Work with modern AI and cloud stack (e.g., Python, APIs, CI/CD, cloud platforms such as GCP)
Collaborate with engineering teams and business stakeholders across multiple squads
Contribute to automation, data extraction, and intelligent decision-support solutions
Support end-to-end delivery including prototyping, testing, deployment, and documentation
What you'll bring to the team
We are looking for someone with strong fundamentals and a growth mindset:
Strong programming skills in Python (Java is a plus)
Knowledge of machine learning, NLP, or LLM-based solutions
Experience with modern AI tooling (e.g., TensorFlow, PyTorch, Hugging Face)
Familiarity with APIs and software engineering best practices
Understanding of CI/CD, software lifecycle, and cloud platforms (GCP/AWS/Azure)
Strong collaboration and communication skills in a cross-functional environment
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).
How we score this
AI Engineer | Wholesale Banking Lending @ING Hubs Romania at ING scores 44 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 2. An ordinary role whose duties require using AI tools, such as coding, writing or sourcing with an assistant.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- What are the limits of Hugging Face that you've run into, and how did you work around them?
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used TensorFlow in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Automation, Nlp, Hugging Face, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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