Data & AI/ML Platform Engineer İş İlanı

Are You Ready to Join LC Waikiki’s Digital Transformation Journey? With more than 1,300 stores around the world and a strong presence in 60 countries, we are on an exciting journey guided by our philosophy: “Everyone Deserves to Dress Well.” Beyond the world of fashion, we are also pursuing ambitious goals in technology and digital transformation. As LC Waikiki’s Digital Transformation and Information Technologies Department, with more than 850 professionals, we are shaping the future by putting innovation and collaboration at the heart of everything we do. Through Agile and Scrum methodologies, we continue to become a more efficient, dynamic, and collaborative organization every day. What Do We Offer? Our projects touch not only the retail industry, but also many areas of the digital world. If you would like to be part of this exciting journey, here are the opportunities waiting for you: The opportunity to contribute to every stage of the software development lifecycle while working in an Agile team, The chance to be involved in local and global projects through third-party system integrations, The ability to shape LC Waikiki’s digital transformation through the software solutions you develop, The opportunity to redefine software development speed within an AI-first engineering culture by applying agentic coding and vibe coding practices. Who Are We Looking For? Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field, or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products. Experience with software design and architecture. Experience developing and operating production-grade software systems. Preferred Qualifications Master’s degree or PhD in Computer Science, Engineering, or a related technical field. Experience with Artificial Intelligence, Machine Learning, Generative AI, or Large Language Models (LLMs). Experience with AI/ML infrastructure, including model deployment, inference, performance optimization, profiling, and debugging. Experience building backend services, APIs, SDKs, frameworks, developer tools, or reusable platform components. Experience with cloud-native architectures, containers, orchestration platforms, or serverless computing. Experience with distributed systems and distributed computing. Experience with hardware-accelerated AI/ML workloads using GPUs, TPUs, or similar accelerators. Understanding of ML lifecycle and production ML systems, including training, evaluation, deployment, inference, observability, and monitoring. Experience with modern Generative AI systems, including LLM applications, retrieval-augmented generation (RAG), evaluation, or agentic systems. Ability to scope and solve ambiguous technical problems in a dynamic environment where AI technologies are continuously advancing. Ability to demonstrate technical leadership by aligning engineering objectives and timelines across multiple teams. Ability to collaborate effectively with cross-functional teams. Responsibilities Optimize performance across the AI/ML platform technical stack through in-depth profiling, debugging, and troubleshooting of AI/ML training and inference workloads. Develop tools and software for our Data & AI/ML Platform to deliver an end-to-end developer experience. Design and build reusable platform capabilities, services, APIs, SDKs, frameworks, and developer tooling for Data and AI/ML workloads. Enable engineers and data scientists to efficiently develop, experiment, evaluate, deploy, observe, and operate production-grade AI/ML systems. Design and develop scalable, reliable, and maintainable software and distributed systems supporting AI/ML workloads. Collaborate with Data Engineering, Data Science, ML Engineering, Software Engineering, Cloud, and Platform teams to ensure the platform delivers exceptional developer experience and business value. Identify and resolve performance and scalability bottlenecks across AI/ML workloads and platform services. Improve the reliability, observability, security, and operational efficiency of the platform. Shape the future of the Data & AI/ML Platform by identifying gaps in existing capabilities and designing and implementing enhancements. Evaluate emerging technologies in AI/ML infrastructure, Generative AI, and distributed systems and determine where they can provide meaningful platform capabilities. What Awaits You? A hybrid working model at our modern office in Istanbul Giyimkent, A collaborative and inclusive team culture, The opportunity to work with the latest technologies and tools, Continuous learning and professional development opportunities, Employee discounts on LC Waikiki products and more. Join Us! We are excited to meet software developers who want to leave their mark on the digital world while helping us achieve our ambitious goals. If this opportunity excites you, submit your application today and take your place in our digital transformation journey. At LC Waikiki, we are committed to considering our environmental and social impacts throughout our value chain and to developing and maintaining a business model that is respectful of human rights, ethical, responsible, and sustainable. The individual in this role is expected to prioritize resource efficiency, the use of sustainable materials, responsible production and procurement practices, human rights, decent working conditions, and ethical business principles—alongside balancing cost, quality, and speed—in all decisions and practices within their scope of responsibility and influence. Furthermore, they are expected to contribute to the identification, management, and monitoring of relevant sustainability impacts, risks, and opportunities. Recruitment Process Interview / Vibe Coding Assessment Center Applications Reference Check Offer The recruitment process may vary depending on the position. We will carefully review your application and contact you by phone or email if your profile is found suitable.