ING Hubs Romania
Data and Analytics Tech
MachineLearningEngineer
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optimal for Senior candidates.
“Machine Learning Engineer at ING Hubs Romania. Skills: Machine Learning, Python, Google Cloud, Agentic AI. Design and maintain end-to-end ML pipelines. Support platform team maintaining Google Cloud Infrastructure”
What You'll Achieve.
Set new standards in model development; Set new standards in maintaining our Google Cloud architecture; Transform prototypes into reliable, high-performance solutions; Assure that every component of the application that was added or changed is working properly; Ensure alignment between technical solutions and business needs
Industry & Context.
Superb analytical and problem-solving abilities
What They're Looking For.
Must Have
Solid understanding of Python, Solid understanding of OOP concept, Foundational knowledge and ability to adapt to new technologies and paradigms, Experience working with infrastructure as a code, Basic understanding of ML frameworks, Experience with Python, Experience with Spark, Experience with VertexAI, Experience with DataProc, Experience with Azure DevOps, Experience with Linux, Experience with Jupyter Notebooks, Experience with BigQuery, Experience with Google Cloud Storage, 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, Excellent ability to speak & write English
Nice to Have
Familiarity with agentic AI architectures, Nifi knowledge, Kafka knowledge
What You'll Do.
Design and maintain end-to-end ML pipelines
Support platform team maintaining Google Cloud Infrastructure
Participate in technical analysis design
Estimate duration of programming
Estimate duration of unit testing phase
Be part of a CI/CD environment
Keep technical documentation up-to-date
Provide technical insight
Actively participate in feature analysis
Take responsibility of your code
Register tests results
Provide workshops & trainings
Set standards in MLE world
How You'll Work.
Team & Collaboration
Working together with a Data Scientist; Communicate effectively with stakeholders
Communication Scope
Good communication skills; Excellent ability to speak & write English
Process & Methodology
Estimate duration of programming, Estimate duration of unit testing phase
Full Job Description
**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
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