Overview is on the forefront of technology innovation delivering breakthroughs and trusted insights in electronic design simulation prototyping test manufacturing and optimization Our 15 000 employees create world-class solutions in communications 5G automotive energy quantum aerospace defense and semiconductor markets for customers in over 100 countries Learn more Our culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions We believe that when people feel a sense of belonging they can be more creative innovative and thrive at all points in their careers We are seeking a Machine Learning Engineer to lead the design development and deployment of scalable machine learning models that power business decisions across the enterprise This role combines technical depth in ML AI with a solid understanding of business domains such as Sales Service Finance Order Fulfillment and Supply Chain You will collaborate closely with Data Scientists Data Engineers and business partners to build production-ready solutions that drive measurable impact Responsibilities 1 Machine Learning Development Deployment Design and implement supervised and unsupervised models for predictive analytics including churn prediction demand forecasting renewal risk scoring and cross-sell upsell opportunity identification Translate business problems into ML frameworks and production solutions that improve efficiency revenue or customer experience Build optimize and maintain ML pipelines using tools such as MLflow Airflow or Kubeflow 2 Cross-Functional ML Use Cases Partner with teams across Sales e g lead scoring next-best action Customer Service e g case deflection sentiment analysis Finance e g revenue forecasting fraud detection Supply Chain e g inventory optimization ETA prediction and Order Fulfillment e g delivery risk modeling to define impactful ML use cases Develop domain-specific models and continuously improve th