Senior NLP/LLM/LLMOps Data Scientist

ING

Tuzla

On-site

TRY 400,000 - 700,000

Full time

14 days+

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Benefits offered by this job

Welcome Leave 14 days
Health Insurance
Private Pension Plan
Meal Card
Transportation Allowance
English Development Support

Job summary

ING Hubs Türkiye is seeking a skilled NLP/LLM/LLMOps Data Scientist to join the global ING Analytics organization in Istanbul. You will partner with ML engineers and journey experts to design conversational AI products and retrieval augmented generation systems using LLMs to boost KYC agent efficiency worldwide.

You will develop and productionize NLP models, understand business needs, preprocess data, and leverage managed LLM services for speech and text data.

Qualifications

  • Degree in Computer Science or related field, preferably NLP/Information Retrieval.
  • Minimum 3 years of NLP/IR pipelines and models experience.
  • Experience with operationalising LLMs or GenAI apps.
  • Strong knowledge of Transformers, RNNs, CNNs.
  • Proficient in Python, production-grade code, and SQL basics.
  • Experience with ML frameworks (TensorFlow, PyTorch).
  • Excellent written and spoken English; familiarity with Agile Scrum.

Responsibilities

  • Design and implement conversational AI products using GenAI/LLMs.
  • Collaborate with ML engineers and journey experts to deploy NLP models.
  • Productionize NLP models and ensure ML code quality and tests.
  • Lead design decisions for GenAI projects across ING Analytics teams.
  • Assist model users in understanding data science principles and model behavior.
  • Contribute to strengthening the data analytics capability within the team.

Skills

Computer Science
NLP/IR pipelines
LLM/GenAI
Python
SQL
TensorFlow
PyTorch
End-to-end ML product
Agile Scrum
English proficiency

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow
PyTorch

Job description

Think Forward! Our goal is to help people advance in life and business. We are a well-established brand with strong financials, global reach, and omni-channel strategies. If you value innovation, agile principles balanced with compliance and quality, reliable service, and a practical work approach, this is the place for you.

ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank’s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.

About the Role

As a NLP/LLM/LLMOps 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 leading-edge conversational AI products, such as agent assists and Retrieval Augmented Generation systems using LLMs. As an NLP/LLM/LLMOps 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 ING’s KYC agents’ efficiencies globally.

What You’ll Do
  • 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 cutting-edge 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 You Bring:
  • Degree in Computer Science, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.
  • A minimum of 3 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 in-depth 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 “end-to-end 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 (but Not Required)
  • 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).
What we offer at ING Hubs Turkiye

At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here’s what you can expect when you join our organization:

Be Yourself, Be an ING’er

Welcome Leave: Enjoy 14 days of welcome leave, even in your first year!

Career Opportunities: Self-driven career paths to navigate your journey.

Personal Growth: Challenging work with endless opportunities.

Dynamic Environment: Informal, vibrant, and innovative culture.

Innovation Culture: Explore and apply PACE methodology.

Global Exposure: Work on global projects.

Health Care: Comprehensive health insurance for you and your family.

Private Pension Plan: Secure your future.

Meal Card, Transportation Allowance, MultiSport Membership, English Development Support

About ING

With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business. Do you want to work at the cutting edge of what’s possible and at the same time ensure you work with integrity and hold the customer’s interests at heart? Then there is no better place to invest your talents than at ING. Join us. Apply today.

About ING Hubs and ING Hubs TR

ING Hubs contribute to ING’s global digitalization and efficiency strategy by delivering scalable expertise in software development, data management, and operations. Present in multiple countries, ING Hubs employ over 13,000 professionals worldwide.

ING Hubs Türkiye focuses on Retail Analytics and Tech , bringing international capabilities to our Istanbul-based hub.

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