ING Hubs Romania

MachineLearningEngineer

$160–240k ~AI est. Bucharest, Romania; Cluj-Napoca, Romania FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Machine Learning Engineer at ING Hubs Romania. Skills: Machine learning engineering, Agentic AI, Google Cloud. Design end-to-end ML pipelines. Maintain end-to-end ML pipelines”

Industry & Context.

Problems you'll solve

Problem-solving abilities

What They're Looking For.

Must Have

Solid understanding of Python, Solid understanding of OOP concept, 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, Experience working within Continuous Deployment, Understanding of unit/integration testing discipline, Superb analytical and problem-solving abilities, Good communication skills, Awareness towards emotional intelligence factors, Excellent ability to speak English, Excellent ability to write English, +5 years of experience

Nice to Have

Nifi knowledge is a plus, Kafka knowledge is a plus

What You'll Do.

Design end-to-end ML pipelines

Maintain end-to-end ML pipelines

Support platform team

Maintain Google Cloud Infrastructure

Participate in technical analysis

Design technical analysis

Estimate duration of programming

Estimate duration of unit testing

Be part of CI/CD environment

Keep technical documentation up-to-date

Provide technical insight

Actively participate in feature analysis

Take responsibility of code

Register test results

Set standards in MLE world

Communicate effectively with stakeholders

Ensure alignment between technical solutions

Ensure alignment between business needs

How You'll Work.

Team & Collaboration

Agile environment; Working with Data Scientist; Working with platform team; Stakeholder alignment

Communication Scope

Speak English; Write English

Process & Methodology

Agile environment

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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