AI Engineer | Wholesale Banking Lending @ING Hubs Romania
At a glance
Mid-level AI Engineering role at ING. Bucharest - Dacia One · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and expand AI, generative AI and machine learning solutions for lending use cases
- Turn business challenges into solutions powered by data and AI
- Create automation, data extraction and decision-support capabilities with engineering and business teams
- Take AI work from early prototypes through testing, launch and documentation
What you bring
- Strong Python programming ability; Java is an advantage
- Knowledge of machine learning, natural language processing or large language model solutions
- Experience with AI tools such as TensorFlow, PyTorch or Hugging Face
- Familiarity with APIs, software delivery practices, CI/CD and cloud platforms
Who this fits
This mid-level engineering role suits you if you want to work across several AI initiatives in wholesale lending, alongside engineering teams and business stakeholders. The role is based in Romania.
From the employer
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).