R&D Engineer 'NLP'

Yapı Kredi Teknoloji; Fatih; Hybrid; TRY 350,000 - 700,000; Full time

Benefits offered by this job

Hybrid work

Koç Group offices

Career development

BizClub privileges

Retirement insurance

Birthday off

Job summary

Yapı Kredi Technology seeks an R&D Engineer to lead AI initiatives in document intelligence and agentic AI systems. You will bridge academic research and scalable, enterprise-grade AI products for the banking sector.

You will design advanced pipelines, fine-tune LLMs, and work with AI Architects to shape technical roadmaps and project milestones in a hybrid work environment.

Qualifications

• MS/PhD in Computer Engineering, Electrical & Electronics Engineering, AI, or related field.
• Proven NLP and multimodal model experience with document intelligence techniques.
• Proficiency in Python and DL frameworks (PyTorch, Transformers).
• Experience deploying ML models as scalable services and MLOps pipelines.
• Familiarity with inference frameworks and large-scale models.

Responsibilities

• Lead AI initiatives with feasibility studies ensuring scalability and performance.
• Translate business goals into technical specifications and blueprints.
• Design pipelines for extracting structured data from complex documents.
• Develop autonomous agents and multi-step reasoning workflows with LLMs.
• Fine-tune and deploy LLMs and multimodal models for production use.
• Collaborate with AI Architects and Analysts on roadmaps and milestones.

Skills

NLP expertise

Multimodal models

Python programming

Deep learning

Agile/Scrum

Education

M.Sc./Ph.D. in Computer Engineering / AI

Tools

PyTorch

Transformers

FastAPI

Flask

Docker

Kubernetes

Git

Jira

Confluence

HuggingFace

Job description

Yapı Kredi Technology is a technology company that produces innovative, high quality, and high value-added products and solutions in the finance sector. With more than 2,000 employees, it aims to create products that will shape the sector for Yapı Kredi Bank and to be the undisputed leader in the field of technology by using modern architectural systems and cloud technologies. It also contributes to the development of new and exemplary products for the sector by using natural language processing, machine learning, artificial intelligence, and data mining technologies with its R&D team.

Who We Are:

At Yapı Kredi Technology, we research with passion, wonder as we learn, and implement innovations that shape the future together. We take responsibility from the first day with our expert colleagues and work with all our strength for pioneering applications. We make quick decisions and take action. We quickly adapt to innovations and changes.

What Do We Offer:

Opportunity to work in hybrid model

Opportunity to work in Koç Group Community Companies' offices

Career development opportunities in a structured technology career path

Opportunity to benefit from BizClub and KoçAilem privileges exclusive to Yapı Kredi Technology employees

Company-contributed individual retirement insurance

Birthday off day

We are looking for an R&D Engineer to join our NLP team. In this pivotal role, you will drive our strategic innovation initiatives, architecting sophisticated solutions for document intelligence, automated information extraction, and agentic AI systems. You will be responsible for bridging the gap between pioneering academic research and the delivery of scalable, enterprise-grade AI products that redefine the standards of the banking sector.

Job Description:

• Lead the initial stages of AI initiatives by conducting rigorous feasibility studies and technical assessments to ensure the viability, scalability, and performance of proposed solutions.
• Synthesize high-level business objectives into detailed technical specifications and architectural blueprints, bridging the gap between conceptual ideas and engineering execution.
• Design and implement advanced pipelines for extracting structured information from complex, semi-structured documents (e.g., financial reports, legal contracts, and forms).
• Build and optimize autonomous agents and multi-step reasoning workflows using state-of-the-art Large Language Models.
• Conduct literature reviews and implement novel algorithms to solve specific banking use cases, bridging the gap between research and production.
• Fine-tune, evaluate, and deploy LLMs and multimodal models to ensure high precision and reliability.
• Work closely with AI Architects and Business Analysts to define technical roadmaps and project milestones.

Qualifications:

• Having or pursuing an M.Sc. or Ph.D. in Computer Engineering, Electrical & Electronics Engineering, Artificial Intelligence, or a related field.
• Proven experience in NLP and multimodal models (e.g., LLMs, VLLMs). Strong grasp of document intelligence techniques (NER, relation extraction, layout analysis).
• Proficiency in Python and deep learning frameworks (PyTorch, Triton, HuggingFace Transformers).
• Hands-on experience in deploying ML models as scalable web services (e.g., FastAPI, Flask) and designing MLOps pipelines.
• Strong ability to implement academic papers and adapt SOTA (State-of-the-Art) methods to real-world problems
• Experience with inference frameworks (vLLM, HuggingFace Accelerate) and large-scale models (GPT, Qwen, Kosmos, Claude).
• Knowledge of prompt engineering, instruction tuning, and agentic frameworks (e.g., LangChain, LangGraph).
• Experience with Docker, Kubernetes, and cloud-native AI deployments.
• Proficiency in Git, Jira, and Confluence within an Agile/Scrum environment.

Our recruitment process for all positions typically encompasses technical interviews, director assessments, competency evaluations, and personality tests. We will extend our offer to candidates who have successfully completed a positive evaluation process.

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