Senior AI Experience Engineer (m/w/d)

T-Systems International GmbH
At T-Systems, we offer business customers the right system solutions for their digital business. With our portfolio we ensure that digital transformation reduces complexity, saves costs and makes day-to-day work easier. We focus on the areas connectivity, digital, cloud & infrastructure as well as security - Let's power higher performance!

Tasks

As a "Senior AI Experience Engineer (m/f/d)", you will be at the forefront of designing, developing, and deploying cutting-edge AI-powered solutions that redefine user interaction and deliver exceptional value. This pivotal role combines deep expertise in Generative AI, LLMs, and Machine Learning with a profound understanding of user experience principles, especially for conversational AI.
You will leverage your 5-7 years of experience to lead the creation of intuitive and impactful AI applications, from concept to production.
Your responsibilities will include:
Designing and implementing innovative AI experiences using Generative AI, LLMs, and NLP techniques.
Developing robust and scalable AI systems with Machine Learning Frameworks like TensorFlow/PyTorch, ensuring seamless integration via API Development and strong Software Architecture.
Optimizing and deploying AI models on Cloud Platforms (AWS/Azure/GCP) while adhering to MLOps best practices.
Championing User Experience (UX) for AI, focusing on human-centered design principles and crafting engaging Conversational AI interfaces.
Collaborating closely with cross-functional teams using Agile Methodologies to bring visionary AI products to life.
Mentoring junior engineers and contributing to architectural decisions, shaping the future of our AI landscape.
Join us to drive innovation, transform complex AI models into delightful user experiences, and significantly impact our product offerings.

Requirements

• Solid understanding and practical experience with Generative AI and Large Language Models (LLMs).
• Proficiency in Machine Learning frameworks like TensorFlow and PyTorch.
• Strong expertise in Natural Language Processing (NLP) and Natural Language Understanding (NLU).
• Experience with major Cloud Platforms (AWS, Azure, GCP).
• Practical experience with MLOps principles and tools for deploying and managing ML models.
• Ability to design intuitive User Experiences (UX) specifically for AI-driven applications.
• Proven skills in Conversational AI Design.
• Expert-level Python programming skills.
• Experience in API development and seamless integration.
• Solid understanding of Software Architecture principles.
• Familiarity with Agile Methodologies (Scrum, Kanban).

This position can also be filled on a part-time basis.
Applicants with disabilities will be given priority if equally qualified.
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