Sobre esta vaga de AI Engineer | Wholesale Banking Lending @ING Hubs Romania na ING
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
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