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 reliabledaytodayuse. You contribute across the full lifecycle-data preparation, modeling, testing, documentation, deployment,userinterfacesand operationalfollow-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
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Design, develop, and deliver enterprise‑ready AI/ML features and use cases using internal and externalproductdata
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Implement machine learning models and analytics solutions and integrate them into IT products
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Ensure high quality through unit testing, code reviews, compliance reviews, and end‑to‑end testing
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Deliver work according to agreed designs and the Definition of Done, following industry best practices
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Participatein peer reviews, defect resolution, and continuous improvement of AI/ML products
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Support in troubleshootingproduction incidents,identifyroot causes, and supporttimelyresolution
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Monitor performance and usage of deployed solutions andidentifyimprovement opportunities
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Document AI/ML products and features using agreed tools and standards
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Contribute to backlog refinement, story estimation, and agile ceremonies
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Work using Agile and DevOps practices, including CI/CD and operational collaboration
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Communicate progress, risks, and impediments proactively to the team and stakeholders
Assets
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Has already worked with machine learning in a professional setting and is ready to take the next step in responsibility
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Iscurious and motivated to deepen their understanding of manufacturing, data, systems, and users
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Iscomfortable working hands‑on with data: cleaning, validation, joining sources, and basic pipeline thinking
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Learns effectively by doing, and improves solutions iteratively based on feedback and real usage
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Asks questions early, discusses design choices openly, and values shared understanding
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Focuses on clear, simple, and maintainable solutions rather than unnecessary complexity
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Takes pride in getting the fundamentals right (tests, documentation, readability, operational readiness)
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Is willing to support their work in production and learn from how it behaves in real use
TechnicalSkills Needed
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Data analytics and algorithm developmentmostly in Python language
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Machine learning and AI model development
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Working with large‑scale datasets
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Distributed analytics platforms
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Basic understanding of cloud platforms and cloud‑based software development
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Software product development and lifecycle management
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IT operations practices and production support awareness
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Analysis of and contribution to code written by others
Preferred Experience
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2-3 years of experience in software product development and lifecycle management
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Hands‑on experience with ML / AI/ analyticsusecases
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Mechanical engineering background orsimilar industry experience
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Experience working in enterprise IT environments
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Exposure to Agile and DevOps ways of working
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Experience collaborating in cross‑functional teams (business, analytics, and technology)
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End user tool development
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Providingtrainingfordevelopedtoolsandconcepts
Soft Skills
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Strong quality focus and attention to detail
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Analytical and structured problem‑solving skills
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Ability to decompose complex problems into manageable components
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Collaborative mindset with strong interpersonal skills
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Proactive and clear communication, both written and verbal
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Ability to seek out information,identifygaps, and ask the right questions
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Conceptual thinking and ability to see the broader context
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Comfort working iteratively and responding to feedback
Education and Certifications
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Bachelor's orMaster's degree in Engineering, Computer Science,DataScienceor a related field
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English languageproficiency
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Relevant certifications for used technologies are an advantage
For further information
Please contact TuomasRuippo,Product Director, PLMvia email[email protected]
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 siteShape the future of cities. Join our flow. | KONE Careerslatest on12thApril 2026.
We look forward to hearing from you!
#LI-IT
#LI-Hybrid
Keskitymme KONEella luomaan innovatiivista ja yhteistyöhön perustuvaa työskentelykulttuuria, jossa jokaisen panosta arvostetaan. Työntekijöiden sitoutuminen on meille avainasemassa, ja rohkaisemme jokaista osallistumaan ja jakamaan tietoa ja ideoita. Yritysvastuu on oleellinen osa yrityskulttuuriamme ja päivittäisiä toimiamme. Noudatamme eettisiä liiketoimintamenettelyitä ja pyrimme kehittämään yhdessä tekemisen kulttuuria, jossa työntekijät luottavat toisiinsa ja kunnioittavat toisiaan ja jossa hyvät suoritukset huomioidaan. Erinomaisena työpaikkana olemme ylpeitä voidessamme tarjota erilaisia kokemuksia ja mahdollisuuksia, joiden avulla saavutat ura- ja henkilökohtaiset tavoitteesi ja voit elää terveellisesti ja tasapainoisesti.
Lue lisää https://careers.kone.com/fi-fi/
