Machine Learning Engineer delivering real - world impact through efficient, adaptive ML systems in production. Collaborating with strategic partners and directly impacting AI research and product vision.
About the role
- AI/ML Engineer developing AI solutions leveraging Large Language Models at Deutsche Börse Group. Collaborating with expert developers to enhance internal processes.
Responsibilities
- Design and develop AI use cases using modern Large Language Models (LLMs).
- Build and implement Python-based AI services and applications using frameworks such as FastAPI.
- Fine-tune and optimize prompts to improve the accuracy, reliability, and performance of AI agents.
- Design, orchestrate, and manage agentic workflows and complex LLM call sequences.
- Integrate AI services with vector databases (e.g., Vertex AI Vector Search) to create powerful knowledge bases.
- Write clean, testable, and production-grade code suitable for large-scale deployment.
- Collaborate closely with backend and DevSecOps teams to ensure seamless integration and deployment of AI-focused solutions.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, with strong expertise in AI, cloud, web development, and DevSecOps toolchains.
- Expert-level programming skills in Python or Java.
- Hands-on experience with DevOps tools such as GitHub, GHAS, Artifactory, Jenkins, Maven, Terraform, Fortify, SonarQube, Black Duck, and Aquasec.
- Deep understanding of AI frameworks, GenAI concepts, and machine learning techniques, with practical experience using Large Language Models (e.g., Google Gemini, OpenAI ChatGPT, Anthropic Claude).
- A strong “builder mentality” with a product-oriented mindset and a drive to deliver high-quality features.
- Excellent communication, analytical thinking, and problem-solving skills, with the ability to work both independently and collaboratively.
Job title
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