KONE
elevator and escalator industry
AISpecialist
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Specialist at KONE. Skills: AI/ML model development, MLOps, Python, TensorFlow, PyTorch, scikit‑learn, XGBoost, Pandas, NumPy, supervised/unsupervised learning, time‑series modeling, anomaly detection. Design, develop, and industrialize AI/ML solutions within the R&D organization for elevator products, hardware platforms, and software-based service solutions. Design, build, and validate AI/ML models for predictive maintenance, fault prediction, and anomaly detection using data from elevator c”
What You'll Achieve.
enabling smarter, safer, and more efficient vertical transportation across the complete product lifecycle; ensure reuse across global product platforms; ensuring solutions are designed for large installed base and scalable service operations; enabling other R&D teams (product, hardware, software) to consume and extend AI components; make a significant impact
Industry & Context.
analytical and problem‑solving skills; analytical mindset
What They're Looking For.
Must Have
programming skills in Python and core ML/AI libraries (e. g. , TensorFlow or PyTorch, scikit‑learn, XGBoost, Pandas, NumPy), Solid understanding of supervised/unsupervised learning, time‑series modeling, anomaly detection, and familiarity with model evaluation for reliability and safety‑critical systems, Experience working with heterogeneous data from hardwarebedded systems (sensors, controllers, PLCs, field buses) and service/software platforms (cloud, databases, APIs, ticketing/CRM), Ability to work effectively with Product, Hardware, and Software R&D teams, translating technical and business requirements into AI architecture and concrete deliverables, analytical and problem‑solving skills, comfort working in global, cross‑functional R&D environments, analytical mindset, attention to detail, structured documentation habits
Nice to Have
Familiarity with MLOps practices and tools (model versioning, CI/CD, monitoring, experiment tracking, model retraining) in an engineering/R&D context, Ability to create clear visualizations, dashboards, or reports to communicate simulation insights
What You'll Do.
and industrialize AI/ML solutions within the R&D organization for elevator products
and software-based service solutions
and validate AI/ML models for predictive maintenance
and anomaly detection using data from elevator controllers
Collaborate with Product R&D to define and implement AI features in new elevator products
Work with Hardware R&D teams to understand controller architecture
communication protocols
and hardware constraints
Partner with Software Service R&D to integrate AI into remote monitoring centers
mobile apps for technicians
Own the AI lifecycle within R&D: data strategy
validation with domain experts
and technology transfer to productization and service deployment teams
Implement and maintain reusable data and model pipelines (MLOps) that support cloud
and edgebedded deployments
Conduct POCs and pilots on emerging AI technologies (LLMs
Ensure all AI designs comply with elevator safety
and regulatory constraints
Produce high‑quality technical documentation
How You'll Work.
Team & Collaboration
Collaborate with Product R&D; Work with Hardware R&D teams; Partner with Software Service R&D; work closely with R&D safety, quality, and certification teams; Ability to work effectively with Product, Hardware, and Software R&D teams, translating technical and business requirements into AI architecture and concrete deliverables; working in global, cross‑functional R&D environments
Communication Scope
excellent communication
Full Job Description
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. Why this role? Design, develop, and industrialize AI/ML solutions within the **R &D organization** for elevator products, hardware platforms, and software-based service solutions, enabling smarter, safer, and more efficient vertical transportation across the complete product lifecycle. What will you be doing? * Design, build, and validate AI/ML models for predictive maintenance, fault prediction, and anomaly detection using data from elevator controllers, sensors, drives, and service systems (logs, work orders, CRM) as part of R&D programs. * Collaborate with Product R&D to define and implement AI features in new elevator products (smart controllers, connected cars, group control algorithms, building integration features) and ensure reuse across global product platforms. * Work with Hardware R&D teams to understand controller architecture, drives, sensors, PLCs, communication protocols, and hardware constraints, and translate this into robust AI models and edge-deployable algorithms. * Partner with Software Service R&D to integrate AI into remote monitoring centers, diagnostic tools, mobile apps for technicians, and customer portals, ensuring solutions are designed for large installed base and scalable service operations. * Own the AI lifecycle within R&D: data strategy, data engineering, model development, experimentation, benchmarking, validation with domain experts, and technology transfer to productization and service deployment teams. * Implement and maintain reusable data and model pipelines (MLOps) that support cloud, on‑prem, and edge/embedded deployments, in alignment with R&D architecture and platform guidelines. * Conduct POCs and pilots on emerging AI technologies (LLMs, computer vision, ag
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