Machine Learning Engineer at Kadence
Interview Preparation Plan
As a Machine Learning Engineer at Kadence, you will be responsible for designing, building, and deploying machine learning models and systems that drive the company's AI roadmap and product innovation. This role involves a blend of software engineering, data science, and MLOps, focusing on developing scalable and efficient ML solutions to enhance Kadence's workplace operations platform. You will work with large datasets, implement ML algorithms, and ensure the seamless integration of models into production environments, contributing to the company's mission of transforming how enterprises manage hybrid workforces and real estate.
Key Responsibilities
- Design, develop, and implement machine learning models and algorithms.
- Build and maintain scalable ML pipelines for data processing, training, and deployment.
- Collaborate with cross-functional teams to identify ML opportunities and integrate solutions into the product.
- Conduct experiments and evaluate model performance, ensuring robustness and accuracy.
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