KONE Technology and Innovation (KTI) is where the magic happens at KONE. It's 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 shape the future of the industry with new technologies and sustainable innovations.
We are looking for a
Principal Machine Learning Engineer
to join KONE IT Enterprise Data & Analytics team in Espoo, Finland.
The team builds AI/ML use cases across business domains to enable business functions to make data-driven decisions and gain a competitive edge in our global landscape while driving modern data architecture with the latest cloud technologies.
The Principal Machine Learning (ML) Engineer leads the design, development, and industrialization of AI, ML, and advanced analytics solutions to solve business problems. With deep technical expertise, they develop AI/ML products and features of significant complexity using best practices, acting as the go-to person on technical aspects. They also proactively identify and drive adoption of innovations and best practices at scale.
The role requires strong communication skills to translate business ideas into technical requirements. They ensure delivery quality by applying appropriate development and quality practices. The Principal ML Engineer tracks technological progress, contributes to defining common methodologies and promotes optimal team practices. As a subject matter expert, they deliver trainings and mentor others, demonstrating strong communication, coaching, and leadership skills. The role also includes people management responsibilities.
We are looking for an enthusiastic team player eager to develop professionally, learn continuously, and contribute to team success. We value a self-driven, proactive mindset with a problem-solving attitude and a willingness to share knowledge. We want to work with people who enjoy teamwork, step out of their comfort zones, and help others grow.
Key responsibilities:
To succeed in Machine Learning Engineer role, following professional experience will play a key role:
For additional information, please contact Marika Mattelmäki, Head of Enterprise Data & Analytics via email marika.mattelmaki@kone.com.
Want to join the #PeopleFlow?
If you are interested in this position, please submit your application including a cover letter and CV via our Careers-site www.kone.com/jobs latest by 22nd of April 9th of April 2025. We can’t wait to hear 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 www.kone.com/careers
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Join our team as a Data Architect to drive data innovation and enhance business value in a cutting-edge technology environment.
Join KONE as an Accountant and contribute to a culture that values collaboration and sustainability while providing accurate financial insights.
Join Genmab as a Director, Tech Lead - Data Platform to shape their enterprise-wide data strategies while leading innovative data solutions.
Join McKesson's Ontada team as a Data Scientist and leverage data analytics to drive impactful strategies in healthcare.
Lead the development of AI/ML solutions at Aambience Services, a growing IT partner prioritizing technical excellence and collaboration.
Join Airbnb's dynamic team as a Data Scientist in Operations Research, helping to innovate and enhance customer support through data-driven solutions.
Join Netflix as a Data Scientist to lead experimentation initiatives and improve customer service experiences for millions worldwide.
As a Principal ML Engineer at Visa, you'll spearhead advancements in personalization systems, leveraging cutting-edge AI to enhance user experiences globally.
Join Chainalysis as a Data Solutions Architect, where you'll harness the power of data to empower customers in the growing cryptocurrency landscape.
Join Nava as a Data Engineer and help reshape government services through innovative data solutions.
At KONE, our mission is to improve the flow of urban life. Our vision is to create the best People Flow experience.
38 jobsSubscribe to Rise newsletter