Senior NLP/LLM/LLMOps Data Scientist

ING Hubs Türkiye; Fatih; Hybrid; TRY 350,000 - 550,000; Full time

Benefits offered by this job

Welcome leave

International opportunities

Personal growth

Collaborative culture

PACE methodology

Global exposure

Company events

Private health insurance

Meal card

MultiSport membership

Remote August

Job summary

ING Hubs Türkiye is hiring a Senior NLP / LLM / LLMOps Data Scientist to design, build, and operationalize production-grade NLP and Generative AI solutions for the bank's regulatory environment.

You'll collaborate with ML engineers, product teams, and business stakeholders across countries to deploy robust, auditable AI systems, focusing on reliability, explainability, and governance in KYC workflows.

Qualifications

• 4+ years in NLP, Information Retrieval, ML, or Generative AI.
• Experience building and deploying production-grade NLP/LLM apps.
• Strong Python skills and DL frameworks (TensorFlow, PyTorch).
• Experience with Transformers, embeddings, RAG, vector search, or conversational AI.
• Experience operationalizing Generative AI across the full ML lifecycle.
• Strong communication and ability to explain AI concepts to technical and business audiences.

Responsibilities

• Conversational AI and agent-assist capabilities.
• RAG solutions built on enterprise knowledge and regulated banking docs.
• NLP pipelines for structured and unstructured text processing.
• Production-grade LLM apps and LLMOps, including evaluation, monitoring, and optimization.
• AI solutions designed for reliability, explainability, and regulatory compliance.

Skills

NLP

Information Retrieval

Machine Learning

Generative AI

Python

Deep Learning

Transformers

Embeddings

RAG

Vector search

Production ML lifecycle

Communication

Tools

TensorFlow

PyTorch

LangChain

Hugging Face

Vertex AI

GCP

LlamaIndex

CI/CD

MLOps

LLMOps

Job description

Build trustworthy AI for one of Europe's leading banks

Large Language Models are transforming how organizations process information, support decisions, and serve customers.

At ING, we're applying these technologies to one of the most demanding environments possible: banking. As part of our global Analytics Engineering organization, you'll help build conversational AI solutions, Retrieval-Augmented Generation (RAG) systems, and intelligent agent-assist capabilities that support customer-facing and operational teams across multiple countries.

This is an opportunity to work on AI systems where success is measured not only by performance, but also by reliability, explainability, and trust.

Why This Role Is Different

Many NLP and LLM roles focus on recommendation systems, personalization, or content generation.

At ING, you'll work on AI solutions operating in a regulated environment where accuracy, auditability, and responsible AI practices matter as much as model performance.

You'll help develop solutions that support KYC processes, document understanding, conversational AI, and knowledge-intensive workflows that enable teams across multiple countries to make better and faster decisions.

Role Summary

As a Senior NLP / LLM / LLMOps Data Scientist, you will work at the intersection of Natural Language Processing, Generative AI, Information Retrieval, and Machine Learning Engineering.

You will partner with ML Engineers, Customer Journey Experts, Product teams, and business stakeholders to design, build, and operationalize production-grade NLP and Generative AI solutions.

Your responsibilities will span the full lifecycle of AI development—from experimentation and model development to deployment, monitoring, evaluation, and continuous improvement.

As part of ING's global Analytics organization, you'll contribute to conversational AI and KYC capabilities supporting teams across multiple countries and business domains.

Work Model

At ING Hubs Türkiye, flexibility is more than a benefit — it's part of how we work.

Our hybrid working model is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote.

We also offer additional flexibility during August, allowing colleagues to work remotely throughout the month.

As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to large-scale AI initiatives that create impact across the bank.

What You'll Build

As a Senior NLP / LLM / LLMOps Data Scientist, you'll help build and scale conversational AI and Retrieval-Augmented Generation (RAG) solutions that support ING's KYC and customer operations across multiple countries.

Your work may include:

• Conversational AI and agent-assist capabilities.
• RAG solutions built on enterprise knowledge and regulated banking documentation.
• NLP pipelines for structured and unstructured text processing.
• Production-grade LLM applications and LLMOps capabilities, including evaluation, monitoring, experimentation, and continuous optimization.
• AI solutions designed for reliability, explainability, and regulatory compliance.

For example, you may develop solutions that help KYC agents retrieve relevant information, summarize documentation, support onboarding processes, and improve decision-making through explainable AI capabilities.

About You

We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.

We're looking for someone who combines strong NLP and LLM expertise with a production mindset and enjoys solving complex information-retrieval and conversational AI challenges.

You likely bring:

• 4+ years of experience in NLP, Information Retrieval, Machine Learning, or Generative AI.
• Experience building and deploying production-grade NLP or LLM-based applications.
• Strong Python skills and familiarity with modern Deep Learning frameworks such as TensorFlow or PyTorch.
• Experience with Transformers, embeddings, RAG architectures, vector search, or conversational AI systems.
• Experience operationalizing Generative AI applications and working across the full ML lifecycle.
• Strong communication skills and the ability to explain AI concepts to both technical and business audiences.

Experience with GCP, Vertex AI, LangChain, LlamaIndex, Hugging Face, CI/CD, CD4ML, MLOps, or LLMOps practices will be considered an advantage.

To succeed in this role, you'll balance innovation with reliability, apply rigorous evaluation practices, and help build AI solutions that perform effectively in a highly regulated banking environment.

Your Growth Path

As part of ING's Analytics Engineering organization, you'll work alongside Data Scientists, AI Engineers, ML Engineers, Product Managers, and Agentic AI specialists.

This role offers opportunities to deepen expertise in NLP, LLMs, LLMOps, and Generative AI while contributing to globally used AI capabilities and international initiatives.

Shape an Emerging Capability

Help define and scale Agentic AI leadership within one of the world's leading financial institutions.

Stay Hands-On

Continue designing and building innovative AI solutions while growing and leading talented professionals.

Work at Global Scale

Deliver AI capabilities that support multiple countries, business domains, and millions of customers.

Join a Strong Community

Become part of a 100+ member Analytics Engineering organization bringing together experts in Data Science, AI Engineering, Analytics, MLOps, and Data Management.

Don't meet every single requirement? Don't let that hold you back. Studies show many talented professionals hesitate to apply unless they meet every qualification. If you're excited about this role and believe you can make an impact, we'd love to hear from you.

At ING Hubs Türkiye, 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.

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 and international opportunities
• Personal Growth: Challenging work and continuous development
• Dynamic Environment: Informal, vibrant, and collaborative culture
• Innovation Culture: Explore and apply PACE methodology
• Global Exposure: Participate in international projects and communities
• Communication & Celebrations: Various communication activities and celebrations
• Health Care: Comprehensive private health insurance for you and your family
• Meal Card
• MultiSport Membership
• Remote working opportunities throughout August

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? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues?

Then there is no better place to invest your talents than at ING.

About ING Hubs

Following ING's strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.

Present in Poland, Romania, Slovakia, the Philippines, Türkiye and Spain, ING Hubs employ more than 13,000 professionals in domains such as software development, data management, operations and non-financial risk.

ING Hubs Türkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.

We value strong work ethics, knowledge sharing and flexibility in our way of working – it is both our promise to you and what we look for in new colleagues.