In 1988, we started our journey with a small store in Kuzguncuk, Istanbul. Today, we continue as a global fashion brand with over 7.900 employees, more than 450 stores, and online sales channels, operating in 72 countries.

We are driven by our vision “With our strong brand fueled by our fast and agile business model, we will reach 1 billion customers worldwide with our products by 2030.”

Guided by our mission “Making fashion trends accessible for the world”, we deliver trends to our customers just in time - in line with our motto, “Trend in Time.”

At Koton, we build success on our values, because “Achieving success with our values is woven into our fabric!'"

✔ Fast and Efficient

✔ Customer-Centric

✔ Passionate

✔ Quality-Focused

✔ One Team

✔ Respectful

If you share these values and want to be part of KOTON’s dynamic, innovative, and growth-oriented environment, we are waiting for your application for the position of IT in our team!

QUALIFICATIONS

• Bachelor’s degree in Industrial Engineering, Computer Engineering, or related fields,

• Knowledge of the textile product lifecycle from design to order, supply chain operations, and warehouse processes,

• Familiarity with artificial intelligence technologies, machine learning, open-source LLMs, and AI agent use cases,

• Experience in process improvement, project coordination, or digital transformation initiatives,

• Strong communication skills and ability to work collaboratively with cross-functional teams,

• Analytical thinker with a proactive and solution-oriented mindset,

• Advanced command of English.

JOB DESCRIPTION

• Identify and analyze potential areas for artificial intelligence (AI) implementation within the department’s business processes,

• Monitor and coordinate AI-related projects to ensure alignment with strategic goals,

• Research, assess, and recommend ready-to-use AI solutions that can accelerate processes and enhance automation,

• Lead awareness initiatives (e.g., training sessions, info briefings) to improve AI literacy among department employees and provide ongoing support,

• Collaborate with cross-functional AI teams on company-wide AI initiatives to drive innovation and shared development,

• Design, test, and deploy AI agents using open-source LLMs tailored to specific business applications,

• Develop and implement digitalization and automation projects to improve operational efficiency,

• Conduct AI, machine learning, and deep learning experiments on cloud-based platforms (e.g., Google Cloud Platform – GCP).