Job
In this role, you will develop AI-based applications on the Huacaya platform, train and optimize large language models, integrate backend systems, and create tailored solutions for various industries.
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Job technologies
Your role in the team
- About our platform Huacaya: Huacaya is our on-premise platform for AI development and deployment. It enables secure and efficient hosting, training, and integration of AI models into applications such as chats or process automations. The platform covers the entire AI lifecycle and provides companies with a robust foundation to develop tailored solutions for specific requirements. As part of our team, you will significantly contribute to the further development of Huacaya and shape innovative AI-based applications within the scope of projects.
- You work directly at the interface with clients and actively drive the development of Huacaya, our platform for AI development and deployment, with the goal of quickly bringing solutions into productive use.
- The focus of your work is on training, fine-tuning, and production-ready deployment of large language models (LLMs), always with a view to tangible customer benefits.
- You iteratively develop and optimize specialized AI models (e.g., in computer vision, NLP, or numerical data analysis) based on real-world requirements and feedback from deployment.
- The integration and further development of backend systems are your responsibility, including APIs, services, and scalable data pipelines.
- Based on Huacaya, you develop tailored, scalable solutions for various industries, guiding them from the idea stage to productive deployment.
- You analyze, structure, and curate data to build high-quality training and evaluation datasets and continuously improve model performance.
- Together with clients and interdisciplinary teams, you develop requirements, translate them into technical concepts, and act as the central point of contact for implementation.
- Through clear documentation and audience-appropriate presentations, you create transparency and support well-informed technical decisions.
Our expectations of you
Education
- You have a completed degree in (Applied) Mathematics, Physics, Computer Science, Data Science, or a comparable quantitative field.
Qualifications
- Excellent German and English skills enable you to communicate even complex technical content in an understandable and audience-appropriate manner.
- You are proficient in training and fine-tuning LLMs as well as working with frameworks like Hugging Face Transformers, PyTorch, or TensorFlow.
- Knowledge in backend development, such as with FastAPI, Django, or Flask, enables you to develop production-ready applications.
- Familiarity with modern infrastructure and deployment tools such as Docker and Kubernetes, as well as with SQL/NoSQL databases and version control, complements your profile.
- You are characterized by an independent, structured, and pragmatic way of working, as well as the ability to take responsibility and drive solutions forward even under uncertain conditions.
Experience
- You already have some practical experience in the development or deployment of AI systems, for example from projects, internships, or professional positions.
What we offer
- Always up to date: Plenty of external and internal training opportunities and certifications.
- Cool offices: Our locations, organized nationwide and across disciplines, combine the expertise of various units within the Reply Group.
- Onboarding event: From day one, you are part of our network and benefit from the expertise of the Reply community.
- Reply Spirit: Strong team spirit, flat hierarchies, and a personal, familial, and appreciative togetherness.
Benefits
Higher take-home pay
Health, fitness & fun
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Power Reply GmbH & Co. KG, part of the Reply Group, focuses on the energy sector and offers specialized services to enhance efficiency and innovation. The teams are dynamic and motivated, creating an open and culturally diverse work atmosphere.
- Established Company
- Onsite, Hybrid
- Power Sector, Economy
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