Founded in 1910, KONE is a global leader that provides elevators,escalatorsand automatic building doors, as well as solutions for maintenance and modernization that add value to buildings throughout their life cycle. Our mission is to improve the flow of urban life and make our world’s cities better places to live by providing innovative solutions that help make people’s journeys safe,convenientand reliable. Our operations in over 60 countries around the worldhashelped us achieve our position as an innovation and sustainability leader with repeated recognitions by Forbes, Corporate Knights for clean capitalism and others.
KONE’s vision is to create the Best People Flow experience by providing ease,effectivenessand experience to our customers and users. In line with our strategy, Sustainable Success with Customers, we will focus on increasing the value we create for customers with new intelligent solutions and embed sustainability even deeper acrossall ofour operations. By closer collaboration with customers and partners, KONE will increase the speed of bringing new services and solutions to the market.
KONE Technology and Innovation Unit (KTI) is where we combine the physical world – escalators and elevators – with smart and connected digital systems. We are changing and improving the way billions of people move within buildings every day. We are on a mission to expand and develop new digital solutions that are based on emerging technologies.
KONE IT is a global team of expert professionals working along with business functions and area teams to develop new capabilities and enable new business opportunities. We are trusted partners of KONE business lines and functions to develop, transform, manage and run their information technology solutions. We support KONE in its digital transformation journey by introducing e.g. digital cloud-based IT services, artificial intelligence (AI) and automation to support productivity, business growth and technological disruption. Sustainability, curious mindset and innovation are at the core of everything we do, and this makes us an integral part of KONE’s success.
IT professionals - KONE Corporation
About the Role
We are looking for a machine learning engineer to develop and industrialize practical ML solutions for manufacturing. In this role, you work with internal and external product and manufacturing data, contribute to building andmaintainingthe data foundations (ingestion, validation, cleaning, and feature preparation), and develop models and analytics features that are integrated intoITproducts for reliable daytodayuse. You contribute across the full lifecycle—data preparation, modeling, testing, documentation, deployment,userinterfacesand operational follow-up—working in an agile team with clear quality expectations such as unit testing, peer reviews, and delivery according to agreed designs and the definition of done.
Experiencefromthe manufacturing industry is a strong asset. Understanding processes, constraints, and the realities of production data helps you make sensible technical choices and focus on what delivers real value. We value someone who is comfortable working in a production environment where solutions aremonitored, improved based on real usage, and supported when needed. The emphasis is on steady learning, sound engineering judgement, and building maintainable solutions that continue tooperatereliably and improve over time.
What youwill do
Design, develop, and deliver enterprise‑ready AI/ML features and use cases using internal and externalproductdata
Implement machine learning models and analytics solutions and integrate them into IT products
Ensure high quality through unit testing, code reviews, compliance reviews, and end‑to‑end testing
Deliver work according to agreed designs and the Definition of Done, following industry best practices
Participatein peer reviews, defect resolution, and continuous improvement of AI/ML products
Support in troubleshootingproduction incidents,identifyroot causes, and supporttimelyresolution
Monitor performance and usage of deployed solutions andidentifyimprovement opportunities
Document AI/ML products and features using agreed tools and standards
Contribute to backlog refinement, story estimation, and agile ceremonies
Work using Agile and DevOps practices, including CI/CD and operational collaboration
Communicate progress, risks, and impediments proactively to the team and stakeholders
Assets
Has already worked with machine learning in a professional setting and is ready to take the next step in responsibility
Iscurious and motivated to deepen their understanding of manufacturing, data, systems, and users
Iscomfortable working hands‑on with data: cleaning, validation, joining sources, and basic pipeline thinking
Learns effectively by doing, and improves solutions iteratively based on feedback and real usage
Asks questions early, discusses design choices openly, and values shared understanding
Focuses on clear, simple, and maintainable solutions rather than unnecessary complexity
Takes pride in getting the fundamentals right (tests, documentation, readability, operational readiness)
Is willing to support their work in production and learn from how it behaves in real use
TechnicalSkills Needed
Data analytics and algorithm developmentmostly in Python language
Machine learning and AI model development
Working with large‑scale datasets
Distributed analytics platforms
Basic understanding of cloud platforms and cloud‑based software development
Software product development and lifecycle management
IT operations practices and production support awareness
Analysis of and contribution to code written by others
Preferred Experience
2–3 years of experience in software product development and lifecycle management
Hands‑on experience with ML / AI/ analyticsusecases
Mechanical engineering background orsimilar industry experience
Experience working in enterprise IT environments
Exposure to Agile and DevOps ways of working
Experience collaborating in cross‑functional teams (business, analytics, and technology)
End user tool development
Providingtrainingfordevelopedtoolsandconcepts
Soft Skills
Strong quality focus and attention to detail
Analytical and structured problem‑solving skills
Ability to decompose complex problems into manageable components
Collaborative mindset with strong interpersonal skills
Proactive and clear communication, both written and verbal
Ability to seek out information,identifygaps, and ask the right questions
Conceptual thinking and ability to see the broader context
Comfort working iteratively and responding to feedback
Education and Certifications
Bachelor’s orMaster’s degree in Engineering, Computer Science, DataScienceor a related field
English languageproficiency
Relevant certifications for used technologies are an advantage
For further information
Please contact TuomasRuippo, Product Director, PLMvia email tuomas.ruippo@kone.com
Want to join the #PeopleFlow?
If you think this could be your next inspiring challenge, pleasesubmityour application including a cover letter and CV as soon as possible via our Careers site Shape the future of cities. Join our flow. | KONE Careerslatest on 12thApril 2026
We look forward to hearing from you!
#LI-IT
#LI-Hybrid
At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.
Read more on https://careers.kone.com/en/
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