Sr ML Engineer drives the development of predictive analytics capabilities. She/he is expected to lead by example, demonstrating KONE values and deep expertise in Data & Analytics domain. This role requires strong independence, ownership of tasks, and a proactive approach to problem-solving.

Unique Selling Point:

A growth-oriented position combining technical leadership and hands-on development in predictive analytics, enabling impact at scale across KONE’s maintenance intelligence solutions.

Deliverables include:

Designing and developing scalable machine learning and data pipelines on AWS.Ensuring code quality and operational robustness through professional Python/PySpark development, unit testing, and CI/CD.Contributing to model deployment and MLOps practices (e.g., MLflow, DVC, inference and training infrastructure).Supporting team-wide DevOps, IAC, and Databricks workflows.Collaborating across functions to enhance data-driven maintenance through ML.Required expertise: SQL, Python/PySpark, AWS (e.g., Lambda, Glue, S3, ECS), CI/CD (GitLab/Jenkins), Databricks, IAC (Terraform/CloudFormation/CDK), Kafka, MLOps.

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