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. To follow more closely what we work on in our Technology and Innovation-unit, you can find more information here Technology and innovation careers - KONE Corporation.
 

We’re looking for a

Senior Machine Learning Engineer

To join the KONE IT team developing ML products in Espoo, Finland. These products are key enablers of our digital transformation—unlocking the ability to build scalable ML solutions and digital use cases by leveraging data across the organization. They help our business functions make data-driven decisions using predictive and prescriptive analytics to forecast outcomes and guide decisions.
 

As a Senior Machine Learning Engineer, you will use data to design, develop, test, validate, deploy, and operate machine learning solutions. You’ll ensure these solutions are reliable, secure, and integrated into enterprise IT environments. You will also participate in peer reviews and continuously improve solutions based on performance in production.
 

We’re looking for an enthusiastic team member eager to grow professionally, learn new skills, and contribute to team success. You should take a self-driven, proactive approach—finding and implementing solutions, solving problems, and sharing learnings with others. We value people who enjoy teamwork, are comfortable stepping outside their comfort zone, and who actively support and collaborate with others.
 

To succeed in this role, the following experience will be key:
 

Education:

Master’s degree in a quantitative field (e.g., machine learning, computer science, physics, statistics, mathematics).

Experience:

6+ years of hands-on experience in ML, data science, and software development.

Cloud & Tools:

Proven experience applying advanced analytics, ML and AI to real-world business problems using cloud technology at scale.Proficiency with Databricks for ML and data science applications. Familiarity with workflow orchestration, Unity Catalog, Spark (PySpark), and MLflow. Certifications are a plus.Experience with AWS (certifications preferred).Familiarity with GitLab/GitHub, Airflow, and Terraform for infrastructure as code.

Programming & MLOps:

Strong skills in Python and SQL.Experience with software development lifecycle and MLOps practices across the full solution lifecycle.Ability to write maintainable code and apply software testing practices.

Security & Compliance:

Understanding of cybersecurity guidelines, and data privacy and compliance regulations.Documentation & Design:Skilled in writing clear technical documentation and visualizing technical designs.

Language:

Fluent in English with excellent communication and facilitation skills.

 

This role will allow you to leverage the following skills:

Leadership & Collaboration:

Act as a go-to expert in ML engineering—promoting innovation and applying new methods.Identify, design and implement improvements in ML engineering processes (e.g., automation, optimized data delivery, scalable infrastructure).Ensure solutions follow industry best practices and align with KONE’s technical design principles and CI/CD standards.Conduct quality actions like code reviews and mentor team members.Demonstrate strong process and data knowledge for your business domain.Take on additional responsibilities (e.g., Scrum Master, task force leader, defect triage coordinator).Coach and mentor junior developers and engineers.

Ways of Working:

Experience with enterprise data landscapes and structures.Passion for agile methods and tools (e.g., Jira, Confluence, draw.io).Strong collaboration skills in global, multicultural teams.Self-organized, resilient, open to feedback, and a strong problem-solver.

For more information
Please contact Antionio Gomez, Principal Machine Learning Engineer, Advanced Analytics via email antonio.gomez@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 Shape the future of cities. Join our flow. | KONE Careers by 7th of September, 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