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Lokation:
Ebeltoft
Uddannelse:MPhil - Bayesian Epistemology and Artificial Intelligence
Ønskede forløb:
  • Freelance/Vikar
  • kortere forløb (<3 måneder)
  • længere forløb (3+ måneder)
  • Timer pr. uge: 1-12 timer
  • Timer pr. uge: 12-24 timer
  • Timer pr. uge: 24+

ID:MC-91AIPH

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AI specialister

Adaptable and results-driven Data Scientist/ML engineer with experience across diverse domains, skilled at quickly understanding new fields and translating data into actionable insights.

Passionate about Applied Machine Learning, with a strong track record of exploring datasets to solve complex problems using ML techniques. Deep appreciation for robust engineering practices—proficient in modern MLOps tools and software development fundamentals to ensure scalable and maintainable ML solutions. Adept at building end-to-end pipelines, from data ingestion to model deployment and monitoring.

Kompetencer

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1: Novis - Grundläggande erfarenhet

Har löst några uppgifter.

2: Avancerad nybörjare - En viss erfarenhet

Har löst flera uppgifter.

3: Kompetent - Stor erfarenhet

Har löst många olika uppgifter. Erfaren och självständig.

4: Expert - omfattande erfarenhet

Mycket erfaren. Kan utbilda/coacha andra.

Erfaring

 
Virksomhed
Arbejdsområder
Afsluttet
Varighed
Tilknytning
  
  Systematic A/S systemutveckling, , , , 2023 4+ år Ansat  
  Grundfos systemutveckling, , , , 2025 2-3 mdr Ansat