Döhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Full-timeOn-siteNot specified
Darmstadt
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DÖDöhler
Data Scientist / AI Business Consultant(m/w/x)
Darmstadt
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Bridging machine learning and agentic AI for food ingredient applications. Foundation model and ML framework expertise required. Anniversary payments, employee referral bonuses.
Requirements
- Degree in Data Science, Computer Science, Mathematics, Statistics, or 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 and ability to translate complex problems into data-driven solutions
- Collaborative working style with cross-functional team experience
Tasks
- Bridge machine learning and agentic AI for business applications
- Develop and optimize machine learning models with internal data
- Build agentic AI solutions using foundation models
- Interface with business users to translate requirements
- Design and develop machine learning models
- Optimize machine learning models
- Perform feature engineering
- Conduct exploratory data analysis
- Apply advanced performance-tuning techniques
- Apply statistical methods to business problems
- Apply mathematical optimization to business problems
- Design agentic AI solutions using foundation models
- Implement agentic AI solutions
- Experiment with foundation models
- Fine-tune foundation models
- Adapt AI solutions to domain-specific use cases
- Develop generative AI solutions
- Develop autonomous systems
- Integrate AI models into enterprise environments
- Deploy AI models into enterprise environments
- Operate AI models within enterprise environments
- Develop APIs for AI models
- Collaborate with software engineering teams
- Ensure scalable production solutions
- Ensure reliable production solutions
- Design cloud-based machine learning pipelines
- Implement cloud-based machine learning pipelines
- Maintain cloud-based machine learning pipelines
- Design AI infrastructure using cloud-native tools
- Implement AI infrastructure using cloud-native tools
- Maintain AI infrastructure using cloud-native tools
- Research emerging AI/ML algorithms
- Prototype emerging AI/ML algorithms
- Validate emerging AI/ML algorithms
- Drive innovation with AI/ML
- Support strategic business objectives with AI/ML
- Collaborate with data engineers
- Collaborate with software developers
- Collaborate with business stakeholders
- Define problem statements
- Deliver value-driven solutions
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- MLOps
Benefits
Bonuses & Incentives
- Anniversary and special payments
- Employee referral bonuses
Team Events
- Christmas parties
- Company events
- Onboarding event
Competitive Pay
- Financial benefits
Corporate Discounts
- Online shop discounts
Learning & Development
- Individual training
- Internal and external training programs
Free or Subsidized Food
- On-site cafeteria
Snacks & Drinks
- Complimentary drinks
Healthcare & Fitness
- Subsidized sports offerings
Public Transport Subsidies
- Subsidized Germany ticket
Other Benefits
- JobRad
- Accident insurance
Retirement Plans
- Company pension plans
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Döhler and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
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DÖDöhler
Data Scientist / AI Business Consultant(m/w/x)
Darmstadt
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Bridging machine learning and agentic AI for food ingredient applications. Foundation model and ML framework expertise required. Anniversary payments, employee referral bonuses.
Requirements
- Degree in Data Science, Computer Science, Mathematics, Statistics, or 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 and ability to translate complex problems into data-driven solutions
- Collaborative working style with cross-functional team experience
Tasks
- Bridge machine learning and agentic AI for business applications
- Develop and optimize machine learning models with internal data
- Build agentic AI solutions using foundation models
- Interface with business users to translate requirements
- Design and develop machine learning models
- Optimize machine learning models
- Perform feature engineering
- Conduct exploratory data analysis
- Apply advanced performance-tuning techniques
- Apply statistical methods to business problems
- Apply mathematical optimization to business problems
- Design agentic AI solutions using foundation models
- Implement agentic AI solutions
- Experiment with foundation models
- Fine-tune foundation models
- Adapt AI solutions to domain-specific use cases
- Develop generative AI solutions
- Develop autonomous systems
- Integrate AI models into enterprise environments
- Deploy AI models into enterprise environments
- Operate AI models within enterprise environments
- Develop APIs for AI models
- Collaborate with software engineering teams
- Ensure scalable production solutions
- Ensure reliable production solutions
- Design cloud-based machine learning pipelines
- Implement cloud-based machine learning pipelines
- Maintain cloud-based machine learning pipelines
- Design AI infrastructure using cloud-native tools
- Implement AI infrastructure using cloud-native tools
- Maintain AI infrastructure using cloud-native tools
- Research emerging AI/ML algorithms
- Prototype emerging AI/ML algorithms
- Validate emerging AI/ML algorithms
- Drive innovation with AI/ML
- Support strategic business objectives with AI/ML
- Collaborate with data engineers
- Collaborate with software developers
- Collaborate with business stakeholders
- Define problem statements
- Deliver value-driven solutions
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- MLOps
Benefits
Bonuses & Incentives
- Anniversary and special payments
- Employee referral bonuses
Team Events
- Christmas parties
- Company events
- Onboarding event
Competitive Pay
- Financial benefits
Corporate Discounts
- Online shop discounts
Learning & Development
- Individual training
- Internal and external training programs
Free or Subsidized Food
- On-site cafeteria
Snacks & Drinks
- Complimentary drinks
Healthcare & Fitness
- Subsidized sports offerings
Public Transport Subsidies
- Subsidized Germany ticket
Other Benefits
- JobRad
- Accident insurance
Retirement Plans
- Company pension plans
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Döhler and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Döhler
Industry
Food
Description
The company is a leading global producer of natural ingredients and solutions for the food, beverage, lifestyle and nutrition industries.
Not a perfect match?
- Döhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Full-timeOn-siteNot specifiedDarmstadt - vertical cloud solution GmbH
Senior AI Engineer(m/w/x)
Full-timeOn-siteSeniorDarmstadt - Döhler
Inhouse Consultant IT Supply Chain Planning(m/w/x)
Full-timeOn-siteManagementDarmstadt - SUSONITY
Associate Director in Data Science, Digital Health Analytics and Innovation(m/w/x)
Full-timeOn-siteSeniorDarmstadt - SurTec Deutschland GmbH
Master’s thesis on AI and process optimization(m/w/x)
Full-timeInternshipOn-siteZwingenberg