Director, Applied Machine Learning (f/m/d)

Danaher

Krakow, Poland
Onsite
Applied machine learning model development
Productionizing ml models with mlops
Collaboration with data platform teams
Danaher is seeking a Director of Applied Machine Learning for its Cytiva division in Krakow, Poland, to lead a new team focused on developing and implementing machine learning solutions in life sciences and biotechnology. The role emphasizes collaboration, team building, and the operationalization of models, with a strong focus on ensuring measurable impact and continuous improvement

Job Summary

  • Director, Applied Machine Learning works in tight partnership with the MLOps team and the Data Platform team to ensure ML solutions are prioritized, developed, and productionized with engineering rigor.
  • The role involves building and leading a new applied machine learning team, establishing operating models, and driving continuous improvement with a focus on measurable business impact.
  • Working at Cytiva means being at the forefront of providing new solutions to transform human health, collaborating in a culture of belonging and continuous improvement.

Matching Summary

Match Score: 85

Danaher is seeking a Director of Applied Machine Learning for its Cytiva division in Krakow, Poland, to lead a new team focused on developing and implementing machine learning solutions in life sciences and biotechnology. The role emphasizes collaboration, team building, and the operationalization of models, with a strong focus on ensuring measurable impact and continuous improvement.

Skills & Requirements

Must-have

  • Applied machine learning model development
  • Productionizing ML models with MLOps
  • Collaboration with data platform teams
  • ML model governance and responsible AI
  • Building and scaling ML teams
  • Operating in regulated environments

Nice-to-have

  • Experience with SOX and GxP compliance
  • Developing model monitoring and retraining pipelines
  • Working with feature stores and model registries
  • Applying ML to enterprise domains
  • Deploying generative AI or NLP solutions
  • Cloud-based data and ML engineering practices
  • Strong communication and stakeholder influence

Key Requirements

  • Bachelor’s degree in computer science or related field
  • 10+ years experience in applied machine learning or data science
  • 4+ years in people leadership roles
  • Experience delivering ML models into production with impact
  • Familiarity with regulated environments like life sciences or biotech

Work Rights

Not specified

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