Senior ML Engineer
Senior ML Engineer
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Job Description
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 problemsolving.
Unique Selling Point:
A growthoriented position combining technical leadership and handson development in predictive analytics enabling impact at scale across KONEs 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 teamwide DevOps IAC and Databricks workflows.
- Collaborating across functions to enhance datadriven 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 coworkers 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 Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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