Applied Scientist , Operations Compliance Risk (ORC

Job Description: Applied Scientist at KT Services

The OperationsCompliance-risk team at KT Services is responsible for conducting safe and compliant operations across the globe. As we tackle the challenges of KT Services's diverse technology management methods and rapid growth, we are seeking top candidates who are dedicated to our mission.

Our team focuses on automating classification processes through cutting-edge technological solutions driven by machine learning operations and models. We collaborate globally to create ambitious roadmaps that prioritize customer experience, operational efficiency, and service stability.

We are currently seeking a competent Applied Scientist (AS) to help develop a general framework for categorization and related tools to enhance algorithm effectiveness. The AS will collaborate with various stakeholders to create multi-modal ML models for classification, driving innovation and efficiency within the team.

Responsibilities:

• Develop cutting-edge machine-learning models to support operational objectives
• Collaborate with business units to gather requirements and create multi-modal ML models
• Analyze and process large volumes of data to develop creative and practical solutions
• Design, test, and implement predictive models and scalable data analysis processes
• Work on innovative machine learning research projects to enhance customer experiences

Basic Qualifications:

1. Experience in programming with Java, C++, Python, or related languages
2. Master's degree in computer science, mathematics, statistics, or related field

Preferred Qualifications:

• Publication in a relevant conference or journal
• Experience implementing algorithms using pre-developed and custom code

About the Team:

Join our team of experts working on automation solutions across a variety of products and systems. We are dedicated to maximizing the practical potential of machine learning and artificial intelligence, impacting millions of KT Services customers worldwide. We offer a strong leadership team, support for career growth, and a healthy work-life balance.

Locations: Luxembourg, LUX