Lead Machine Learning Engineer(Python)

Company:

Did you know KONE moves two billion people every day? As a global leader in the elevator and escalator industry, we employ over 60,000 driven professionals in more than 60 countries worldwide joined together by a shared purpose, to shape the future of cities. In 2023, we had annual net sales of EUR 11.0 billion.

We are looking for a Data & Analytics Chapter Lead to join our team—a hands-on expert who can develop and deploy analytics solutions at scale while also mentoring and guiding our data science team. Our global analytics solution for predictive maintenance relies heavily on cloud development and strong software engineering skills, making this role crucial in driving innovation and operational excellence.

In this role, you will:

• Provide technical leadership to data scientists and data engineers, fostering skill development and best practices
• Work closely with business, product, and engineering teams to identify challenges and design scalable AI/ML solutions
• Develop, optimize, and deploy analytics models that enable predictive maintenance and intelligent insights
• Productionize analytical solutions, ensuring robustness, scalability, and efficiency in a cloud environment
• Leverage IoT data to drive improvements in predictive analytics and intelligent insights.
• Implement CI/CD pipelines and MLOps best practices for model deployment and monitoring

We welcome candidates with:

• Bachelors or equivalent experience in Computer Science, Data Science, Machine Learning, or a related quantitative field
• Proven hands-on experience in developing, deploying, and managing ML solutions in production
• Background in statistical modeling, deep learning, and machine learning techniques
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-Learn
• Experience working with cloud platforms (AWS, Azure, or GCP) and scalable architectures
• Experience in software engineering practices, including CI/CD, DevOps, containerization (Docker, Kubernetes), and infrastructure as code
• Proven track record of leading and managing data teams, including data scientists and data engineers
• Strong communication and collaboration skills
• Can-do attitude with a growth mindset

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