LLM Data Scientist ING Hubs Romania
LLM Data Scientist ING Hubs Romania
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Job Description
Discover ING Hubs Romania
ING Hubs Romania offers 130 services in software development data management nonfinancial risk & compliance audit and retail operations to 24 ING units worldwide with the help of over 1700 highperforming engineers risk and operations professionals.
We started out in 2015 as INGs software development hub a distinct entity from ING Bank Romania then steadily expanded our range to include more services and competencies.
Now we provide borderless services with bankwide capabilities and operate from two locations: Bucharest and ClujNapoca.
Our tech capabilities remain the core of our business with more than 1500 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 isnt a perk. Its 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
You will be part of the COO Analytics Tribe which delivers generative AI AI and advanced analytics capabilities to all ING countries.
Specifically you will help creating innovativescalabledata driven solutions in the space of Customer Due Deligence. You proactively work with teams to implement these solutions across the organization. You will work collaboratively with an extended group of stakeholders including global and local KYC (Know Your Customer).
Your mission will be to ensure the improvement of our products with a team and supporting all ING countries in reaching their targets by providing smart advanced analytics solutions to strengthen ING leadership in digitalization & support our 40 million customers.
We work in a fun and creative environment and were dedicated to bringing out the best in both our relations and our projects ranging from enhancing our virtual assistants in production via innovative NLP techniques sush as Generative AI and Large Language Models to building speech analytics use cases across all the countries ING operates in.
As a NLP/LLM Data Scientist you will be joining the global ING Analytics organization and will partner with Machine Learning (ML) Engineers and Customer Journey Experts to design and implement leadingedge conversational AI products such as agent assists and Retrieval Augmented Generation systems using LLMs. As an NLP/LLM data scientist you understand business needs perform data preprocessing and analysis and build machine learning models and/or design and implement NLP models using managed LLM services for speech and text data to improve our platform and INGs KYC agents efficiencies globally.
Your day to day
After your morning coffee you stand up with data engineers to understand the best scalable way to get models to run in production leading the way in how to approach a modeling problem and to turn data into business value. You talk to the business to convince them that your solution has value and you incorporate their feedback into your modeling pipeline. After a lunch break with colleagues you think of a new technology youd like to try out. You start investigating and write it up for the next experimentation day or demo. At the end of the afternoon you finalize some comments other colleagues from the ING Analytics Community had on your latest blog post or start building your presentation for the next conference you will be presenting at. As a Data Scientist working for ING Global Analytics youll never get bored with many experienced and skilled colleagues around you the freedom to innovate and to not only use open source and cloud managed service tooling but also contribute and teach about them.
You Will Be Responsible For:
Design and implementation of solutions using Generative AI and LLM technologies
Developing production level NLP models
Working with ML Engineers to productionize your developed NLP models
Using the cuttingedge NLP and (Gen)AI frameworks and technologies such as Large Language Models and Generative AI
Following best practices in developing ML code and ML software tests
Making design and technical decisions for (Gen)AI projects at ING Analytics. Supporting local teams in several countries and their projects. Participating in design analysis and interpretation of business hypotheses and exploring datasets. Recommending ideas to the business based on data.
Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
Contributing to strengthening the data analytics capability within the team.
What youll bring to the team
Degree in Computer Science and preferably in Natural Language Processing Information Retrieval or Machine Learning.
A minimum of 2 years experience in building Natural Language Processing or Information Retrieval pipelines and models
Experience with operationalisation of LLMs or Generative AI applications
You have an indepth understanding of algorithms like Transformers Recurrent Neural Networks and Convolutional Neural Network
Strong programming skills in Python experience in delivering production grade code and reasonable SQL understanding
Can build an endtoend ML software product which has NLP/IR component
Experience with Deep Learning frameworks like Tensorflow and PyTorch
You have excellent oral and written communication skills at the technical and business level
Fluent in written and spoken English.
Familiarity with Agile Scrum way of working
Nice To Have
Experience with Google Cloud Platform
Experience with applying NLP on banking and/or KYC domains
Knowledge of DevOps practices including Git and CI/CD
Experience with CI/CD for Machine Learning pipeline (CD4ML).
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 ourwebsite (make sure to scroll until you reach the Data Protection section/ Candidates tab).
Employment Type
Full-Time
