Senior NLP/LLM/LLMOps Data Scientist

ING Hubs Türkiye; Fatih; On-site; TRY 80,000 - 100,000; Full time

Benefits offered by this job

14 days of welcome leave

Comprehensive health insurance

Self-driven career paths

Job summary

ING Hubs Türkiye is seeking a NLP/LLM/LLMOps Data Scientist to join our global ING Analytics organization. This role involves collaborating with Machine Learning Engineers to design and implement advanced conversational AI products. You will leverage your experience in Natural Language Processing to enhance ING's KYC agents’ efficiencies.

The ideal candidate will have a Computer Science degree and a minimum of 3 years of experience in building NLP pipelines. We offer a dynamic environment with comprehensive health insurance and opportunities for personal growth.

Qualifications

• Minimum of 3 years experience in building NLP or Information Retrieval pipelines.
• Strong programming skills in Python with production-grade code delivery.
• In-depth understanding of algorithms like Transformers and RNNs.

Responsibilities

• Design and implement solutions using Generative AI and LLM technologies.
• Collaborate with ML Engineers to productionize developed NLP models.
• Make design and technical decisions for (Gen)AI projects.

Skills

Natural Language Processing

Machine Learning

Python

Deep Learning

SQL

Agile Scrum

Education

Degree in Computer Science

Tools

TensorFlow

PyTorch

Google Cloud Platform

Job description

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
• 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.