Welcome to an exciting opportunity where ambitious individuals are invited to join a team of inquisitive minds and supportive peers, all driven by a shared passion and diverse skills aimed at creating value for businesses through data.    

  
About Us      

Ascent has recently been acquired by Acuity Analytics.  This is both a significant milestone for us and a tremendous opportunity for you.  Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans.  We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations.  To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.  

Your responsibilities  

As our next AI Engineer you design, build, and deploy production-grade AI systems in close collaboration with data scientists, data engineers, and our clients' technical teams{{:}} 

• Design and implementation of AI solutions — from proof of concept to production deployment in the cloud or on-premises 
• Building and maintaining robust data preprocessing pipelines, model serving infrastructure, and AI-powered applications in Python 
• Development of LLM-based solutions including RAG architectures, AI agents, and multi-modal applications using frameworks such as LangChain, LlamaIndex, or Microsoft Agent Framework 
• Integration of Azure AI services (Azure OpenAI Service, Azure Machine Learning, Azure AI Foundry) into scalable cloud-native architectures 
• Close collaboration with your team in the conception and architecture of end-to-end AI systems for our clients 
• Supporting and facilitating technical workshops with client teams 
• Working across different industries on diverse AI engineering use-cases 

Skills and experience  

• Educational background in Computer Science, Software Engineering, Data Science, Mathematics, or a related field 
• Strong Python skills and experience building production-grade AI/ML systems, including familiarity with libraries such as scikit-learn, pandas, numpy, PyTorch, or Hugging Face Transformers 
• Hands-on experience with Azure cloud services, particularly Azure OpenAI Service, Azure Machine Learning, Azure Functions, and Azure DevOps 
• Solid understanding of LLM application development — including prompt engineering, fine-tuning, RAG pipelines, vector databases and evaluation frameworks 
• Experience with MLOps practices{{:}} CI/CD for ML, model versioning (e.g. MLflow) and containerization (Docker, Kubernetes) 
• Nice-to-have{{:}} Experience with cloud deployments and infrastructure-as-code (e.g. Terraform or Bicep) 
• Motivation and passion for staying on the cutting edge of AI and continuously honing your skills 
• Minimum monthly gross salary{{:}} € 3.800 (14 times per year, based on 38.5h/week, no all-in contract). We always ensure a competitive salary adjusted to your qualifications and experience. 
• Comfortable speaking in both German and English 

Why join us

People are at the Heart of our Business.  By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.  Check out this page for more details.