Machine Learning Engineer, Product Data Ai

KONE ELEVATORS PTY

Hyvinkää, ,
Hybrid
Machine learning model development
Data analytics in python
Working with large-scale datasets
KONE Elevators is seeking a Machine Learning Engineer to develop and implement machine learning solutions for manufacturing environments. The ideal candidate should possess experience in software product development, machine learning, and data analytics, with a focus on maintaining high-quality standards in a collaborative, Agile-driven setting

Job Summary

  • KONE is a global leader providing innovative elevator and building flow solutions with a strong focus on sustainability and digital transformation.
  • The role involves designing, developing, and delivering enterprise-ready AI/ML features integrated into IT products, ensuring quality through testing and peer reviews.
  • The company fosters an innovative and collaborative culture emphasizing sustainability, employee engagement, and ethical business practices.

Matching Summary

Match Score: 85

KONE Elevators is seeking a Machine Learning Engineer to develop and implement machine learning solutions for manufacturing environments. The ideal candidate should possess experience in software product development, machine learning, and data analytics, with a focus on maintaining high-quality standards in a collaborative, Agile-driven setting.

Skills & Requirements

Must-have

  • Machine learning model development
  • Data analytics in Python
  • Working with large-scale datasets
  • Software product lifecycle management
  • Agile and DevOps practices
  • Production support and IT operations awareness

Nice-to-have

  • Curious and motivated to learn manufacturing
  • Collaborative mindset with strong interpersonal skills
  • Focus on maintainable and simple solutions
  • Proactive and clear communication
  • Experience with cloud platforms
  • Analytical and structured problem solving

Key Requirements

  • 2–3 years software product development experience
  • Hands-on ML/AI/analytics use cases experience
  • Bachelor’s or Master’s degree in Engineering or related field
  • English language proficiency
  • Experience in enterprise IT environments
  • Exposure to Agile and DevOps ways of working

Work Rights

Not specified

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