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NENestlé Deep Tech Center

Senior / Principal Applied Machine Learning Scientist(m/w/x)

Orbe
Full-timeOn-siteSenior
AI/ML

Developing and deploying AI/ML solutions for food innovation, from rapid prototyping to ethical production readiness. Master's or Doctoral degree in quantitative field and extensive real-world ML deployment experience required. Flexible working arrangements, international environment.

Requirements

  • Master's or Doctoral degree in Computer Science, Statistics, or related quantitative field
  • Extensive experience developing and deploying ML solutions in real-world business environments
  • Strong proficiency with Python ML tools (e.g. PyTorch/TensorFlow/Jax, pandas/polars, scikit-learn, git)
  • Familiarity with MLOps and data engineering practices, including model deployment and building ETL pipelines with tools like Spark or Snowflake
  • Experience working with large-scale datasets and distributed/parallel accelerated computation
  • Experience with rapid prototyping, fast experimentation, and iterative development in an R&D setting
  • Enjoyment of working in dynamic and entrepreneurial environments
  • Demonstrated ability to provide technical leadership and mentorship
  • Excellent communication skills and collaborative mindset
  • Fluency in English

Tasks

  • Design and implement AI/ML solutions for research and engineering challenges
  • Lead rapid prototyping and develop scalable models
  • Ensure production readiness while adhering to ethical AI standards
  • Establish requirements for AI applications by collaborating with stakeholders
  • Coordinate with internal and external AI service providers for technical alignment
  • Integrate customized models into existing systems for seamless data flow
  • Develop testing strategies to validate model performance in real-world scenarios
  • Analyze test results and gather user feedback to optimize models
  • Document AI model designs and integration processes
  • Lead knowledge-sharing sessions with internal teams
  • Stay updated on AI trends and propose innovative applications

Work Experience

  • approx. 4 - 6 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • PyTorch
  • TensorFlow
  • Jax
  • pandas
  • polars
  • scikit-learn
  • git
  • Spark
  • Snowflake

Benefits

Flexible Working

  • Flexible working arrangements

Other Benefits

  • Diversity, equity and inclusion

Informal Culture

  • Dynamic international environment
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