About:

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

🌴Chance to discover the natural wonders and amenities offered at Koç Toplululuğu Spor Kulübü (KTSK)

🚀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.

Qualifications

• Having or pursuing a M.Sc. or Ph.D. in Computer Engineering, Electrical & Electronics Engineering, Artificial Intelligence, or a related field.
• Proven experience in NLP and multimodal language models (e.g. LLMs, VLLMs).
• Proficiency in Python and common data science libraries (e.g. pandas, numpy, matplotlib, scikit-learn, scipy).
• Hands-on experience in deep learning frameworks (e.g. PyTorch, TensorFlow, HuggingFace Transformers, etc.).
• Solid understanding of document intelligence and information extraction techniques (e.g. NER, relation extraction, document classification).
• Experience in NLP tasks such as sentiment analysis, topic classification, etc.
• Familiarity with model training, evaluation, and fine-tuning techniques.
• Ability to design, implement and optimize MLOps pipelines.
• Hands-on experience deploying ML models as scalable web services (e.g. RESTful APIs, FastAPI, Flask).
• Strong research skills and ability to implement novel academic algorithms.

Would be Advantageous

• Experience with large-scale language models (GPT, LLaMA, Mistral, etc.) and related inference frameworks (vLLM, HuggingFace Accelerate, etc.),
• Familiarity with vector databases and retrieval-augmented generation (RAG) systems,
• Knowledge of prompt engineering and instruction tuning approaches,
• Experience with Git, Jira, and Confluence for version control and documentation,
• Knowledge of containerization technologies like Docker and orchestration tools such as Kubernetes,
• Eagerness to follow state-of-the-art AI literature and contribute to publications.
• Prior work in Agile/Scrum-based development environment.

Candidate Selection Process:

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.

If you would like to get to know more about Yapı Kredi Technology, you can follow us! 🚀

https://www.ykteknoloji.com.tr

https://medium.com/yapi-kredi-teknoloji

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