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Associate Director – Data Science

Kyndryl Professional

🌍 Asia 🏠 Remote ⏱ Part-time 💼 Junior 🗓 1 weeks ago

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. We are seeking a highly skilled AI/ML Engineer with deep expertise in LLMs, agentic AI frameworks, MLOps, and Azure cloud environments. The ideal candidate will design, build, and deploy scalable AI systems leveraging modern LLM orchestration frameworks, vector search pipelines, and enterprise‑grade MLOps practices. This role also requires strong collaboration across squads, the ability to articulate AI solutions to stakeholders, and an understanding of regulated industries such as banking. As a Software Engineering - Developer at Kyndryl, you will be at the forefront of designing, developing, and implementing cutting-edge software solutions. Your work will play a critical role in our business offering, your code will deliver value to our customers faster than ever before, and your attention to detail and commitment to quality will be critical in ensuring the success of our products. The AI Engineer is responsible for designing, building, deploying, and optimizing AI‑powered solutions—including LLM‑based automation, multi‑agent systems, and intelligent workflows—to support banking, regulatory, operations, ...

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