Senior Machine Learning Engineer

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’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:

• Master’s degree in a quantitative field such as machine learning, computer science, physics, statistics, or mathematics.
• Proven track record of applying advanced analytics, machine learning, and AI to real-world business problems using cloud technology at scale.
• 6+ years of professional hands-on experience in machine learning, data science, and software development.
• Technical proficiency with Databricks for ML and data science applications. Familiarity with workflow orchestration, Unity Catalog, Spark (PySpark), and MLflow. Relevant Databricks certifications are a plus.
• Experience with AWS cloud platform. AWS certifications preferred.
• Hands-on experience with tools like GitLab/GitHub, Airflow, and Terraform for infrastructure as code.
• Proficient in Python and SQL with experience in software development lifecycle and MLOps practices across the full solution lifecycle.
• Understanding of cybersecurity guidelines, and data privacy and compliance regulations.
• Ability to write maintainable code and apply software testing practices.
• Skilled in writing clear technical documentation and visualizing technical designs.
• Act as a go-to expert in ML engineering, promoting innovation, evaluating new methods, and applying them in practice.
• Identify, design, and implement improvements to ML engineering processes—e.g., automation, optimized data delivery, and scalable infrastructure.
• Ensure solutions follow industry best practices and align with KONE’s technical design principles, architecture, and CI/CD standards.
• Plan and conduct quality actions, such as code reviews, and support and mentor team members.
• Demonstrate strong process and data knowledge for your business domain.
• Take on additional responsibilities such as Scrum Master, task force leader, or defect triage coordinator.
• Coach and mentor junior developers and engineers.
• Experience working with enterprise data landscapes and data structures. Passionate about using agile methods and tools (Jira, Confluence, draw.io).
• Strong collaboration skills in global, multicultural teams.
• Self-organized and proactive; open to feedback, resilient, and a strong problem-solver.
• Fluent in English, with strong communication and facilitation skills.

For more 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 by 11th of June, 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