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Senior / Principal Applied Machine Learning Scientist(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- TensorFlow
- Jax
- pandas
- polars
- scikit-learn
- git
- Spark
- Snowflake
Benefits
Flexibles Arbeiten
- Flexible working arrangements
Sonstige Vorteile
- Diversity, equity and inclusion
Lockere Unternehmenskultur
- Dynamic international environment
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Senior / Principal Applied Machine Learning Scientist(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- PyTorch
- TensorFlow
- Jax
- pandas
- polars
- scikit-learn
- git
- Spark
- Snowflake
Benefits
Flexibles Arbeiten
- Flexible working arrangements
Sonstige Vorteile
- Diversity, equity and inclusion
Lockere Unternehmenskultur
- Dynamic international environment
Über das Unternehmen
Nestlé Deep Tech Center
Branche
Food
Beschreibung
The company develops cutting-edge technologies to accelerate global innovation in food and enhance quality of life.
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- Nestlé
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