Company Overview
Döhler is a leading global producer of natural ingredients and solutions for the food, beverage, lifestyle and nutrition industries. The company uses innovative technology to process plant-based raw materials and enrich products such as lifestyle drinks, cereals, dairy, and confectionery goods for almost every well-known brand. Over 10.000 dedicated employees in more than 70 countries share one common goal - to ensure that millions of people around the world enjoy the products created by Döhler.
Responsibilities
- Interface with business users and translate requirements into technical solutions / architectures
- Design, develop, and optimize supervised and unsupervised machine learning models, including feature engineering, exploratory data analysis, and advanced performance-tuning techniques
- Apply statistical and mathematical optimization methods to solve complex, data-driven business and optimization problems
- Design and implement agentic AI solutions based on state-of-the-art foundation models, including experimentation, fine-tuning, and adaptation to domain-specific use cases
- Integrate, deploy, and operate AI models within enterprise environments by developing APIs and collaborating with software engineering teams
- Design, implement, and maintain scalable cloud-based machine learning pipelines and AI infrastructure using cloud-native tools
- Research, prototype, and validate emerging AI/ML algorithms and methodologies to drive innovation and support strategic business objectives
- Collaborate with cross-functional teams to define problem statements and deliver value-driven solutions
Requirements
- Degree in Data Science, Computer Science, Mathematics, Statistics, or a comparable quantitative field
- Strong experience in machine learning, statistical modeling, and data analysis using Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Hands-on experience with common ML frameworks and model training, including fine-tuning of complex models
- Practical exposure to foundation models, generative AI, or agentic systems, with strong interest in modern AI architectures
- Experience with cloud platforms and MLOps concepts for scalable development and production deployment
- Strong analytical mindset with the ability to translate complex problems into data-driven solutions
- Collaborative working style with experience in cross-functional teams
Benefits
- Friendly and informal atmosphere, family-owned company, flat hierarchies, and short communication channels
- Opportunity to fully unleash your potential and take on responsibilities
- Excellent partnerships with market-leading innovators, allowing access to state-of-the-art technologies
- Anniversary and special payments, employee referral bonuses, and additional benefits
- Onboarding event, individual training, and continuous education through the Döhler Academy
- On-site cafeteria, local sports offerings, subsidized Germany ticket or JobRad, and insurance benefits
- Challenging and internationally oriented work at the headquarters in Darmstadt