ING Hubs Romania

Data and Analytics Tech

MachineLearningEngineer

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, 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.

Data and Analytics Tech
Problems you'll solve

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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