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Döhler

Data Scientist - AI and Machine Learning Specialist(m/w/x)

Darmstadt
Full-timeOn-siteExperienced
AI/ML
Data Science

Building agentic AI and generative solutions, fine-tuning foundation models at global natural ingredients producer. Experience with GenAI, modern architectures, and MLOps concepts expected. Global project collaboration.

Requirements

  • Degree in quantitative field or comparable
  • Experience in ML and statistical modeling
  • Experience with ML frameworks and training
  • Exposure to GenAI and modern architectures
  • Experience with cloud and MLOps concepts
  • Strong analytical mindset
  • Collaborative working style

Tasks

  • Design and optimize machine learning models
  • Perform feature engineering and data analysis
  • Apply statistical methods to business problems
  • Build agentic AI and generative solutions
  • Fine-tune foundation models for specific use cases
  • Develop APIs to integrate AI models
  • Collaborate on scalable production solutions
  • Maintain cloud-based machine learning pipelines
  • Research and prototype emerging AI algorithms
  • Define problem statements with business stakeholders

Work Experience

  • approx. 1 - 4 years

Education

  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Cloud platforms

Benefits

Other Benefits

  • Internationally oriented work
  • JobRad
  • Accident insurance

Informal Culture

  • Friendly and informal atmosphere
  • Flat hierarchies
  • Short communication channels

Modern Equipment

  • State-of-the-art technologies

Bonuses & Incentives

  • Anniversary payments
  • Special payments
  • Employee referral bonuses

Team Events

  • Christmas parties
  • Company events
  • Onboarding event

Competitive Pay

  • Financial benefits

Corporate Discounts

  • IT leasing discounts
  • Mobile phone contract discounts
  • Shopping and travel discounts
  • Reduced-price local sports

Learning & Development

  • Individual training
  • Internal and external training

Free or Subsidized Food

  • On-site cafeteria

Snacks & Drinks

  • Complimentary drinks

Public Transport Subsidies

  • Subsidized Germany ticket

Retirement Plans

  • Company pension plans
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