Döhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Vollzeitnur vor OrtKeine Angabe
Darmstadt
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DÖDöhler
Data Scientist / AI Business Consultant(m/w/x)
Darmstadt
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Bridging machine learning and agentic AI for food ingredient applications. Foundation model and ML framework expertise required. Anniversary payments, employee referral bonuses.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- MLOps
Benefits
Boni & Prämien
- Anniversary and special payments
- Employee referral bonuses
Team Events & Ausflüge
- Christmas parties
- Company events
- Onboarding event
Attraktive Vergütung
- Financial benefits
Mitarbeiterrabatte
- Online shop discounts
Weiterbildungsangebote
- Individual training
- Internal and external training programs
Gratis oder Vergünstigte Mahlzeiten
- On-site cafeteria
Snacks & Getränke
- Complimentary drinks
Gesundheits- & Fitnessangebote
- Subsidized sports offerings
Öffi Tickets
- Subsidized Germany ticket
Sonstige Vorteile
- JobRad
- Accident insurance
Betriebliche Altersvorsorge
- Company pension plans
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Döhler erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- vertical cloud solution GmbH
Senior AI Engineer(m/w/x)
Vollzeitnur vor OrtSeniorDarmstadt - SUSONITY
Associate Director in Data Science, Digital Health Analytics and Innovation(m/w/x)
Vollzeitnur vor OrtSeniorDarmstadt - Döhler
Inhouse Consultant IT Supply Chain Planning(m/w/x)
Vollzeitnur vor OrtManagementDarmstadt - SurTec Deutschland GmbH
Master’s thesis on AI and process optimization(m/w/x)
VollzeitPraktikumnur vor OrtZwingenberg
DÖDöhler
Data Scientist / AI Business Consultant(m/w/x)
Darmstadt
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Bridging machine learning and agentic AI for food ingredient applications. Foundation model and ML framework expertise required. Anniversary payments, employee referral bonuses.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- MLOps
Benefits
Boni & Prämien
- Anniversary and special payments
- Employee referral bonuses
Team Events & Ausflüge
- Christmas parties
- Company events
- Onboarding event
Attraktive Vergütung
- Financial benefits
Mitarbeiterrabatte
- Online shop discounts
Weiterbildungsangebote
- Individual training
- Internal and external training programs
Gratis oder Vergünstigte Mahlzeiten
- On-site cafeteria
Snacks & Getränke
- Complimentary drinks
Gesundheits- & Fitnessangebote
- Subsidized sports offerings
Öffi Tickets
- Subsidized Germany ticket
Sonstige Vorteile
- JobRad
- Accident insurance
Betriebliche Altersvorsorge
- Company pension plans
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Döhler erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Döhler
Branche
Food
Beschreibung
The company is a leading global producer of natural ingredients and solutions for the food, beverage, lifestyle and nutrition industries.
Noch nicht perfekt?
- Döhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Vollzeitnur vor OrtKeine AngabeDarmstadt - vertical cloud solution GmbH
Senior AI Engineer(m/w/x)
Vollzeitnur vor OrtSeniorDarmstadt - SUSONITY
Associate Director in Data Science, Digital Health Analytics and Innovation(m/w/x)
Vollzeitnur vor OrtSeniorDarmstadt - Döhler
Inhouse Consultant IT Supply Chain Planning(m/w/x)
Vollzeitnur vor OrtManagementDarmstadt - SurTec Deutschland GmbH
Master’s thesis on AI and process optimization(m/w/x)
VollzeitPraktikumnur vor OrtZwingenberg