Senior/Principal Machine Learning Engineer

Workday is a leading provider of enterprise cloud applications for finance, human resources, and planning. Founded in 2005, the company delivers a unified system that helps organizations manage financial management, human capital management, payroll, and analytics with a focus on usability and innovation. Workday's mission is to enable businesses to adapt and thrive in a changing world by providing intelligent, flexible, and scalable cloud solutions. Serving thousands of customers globally, Workday is recognized for its commitment to customer satisfaction, continuous innovation, and a strong culture of inclusion and diversity.

The Senior/Principal Machine Learning Engineer will be responsible for creating scalable machine learning models, optimizing algorithms, and deploying AI solutions. The role requires working closely with data scientists, software engineers, and product teams to develop innovative AI features that enhance the company's offerings. The ideal candidate has a strong background in machine learning, data analysis, and software development, with experience in deploying models in production environments. The position offers an opportunity to work on cutting-edge AI projects that influence the company's strategic direction.

The role involves developing and implementing advanced machine learning models to drive innovation and efficiency within the organization.

United States

The Senior/Principal Machine Learning Engineer will be responsible for creating scalable machine learning models, optimizing algorithms, and deploying AI solutions. The role requires working closely with data scientists, software engineers, and product teams to develop innovative AI features that enhance the company's offerings. The ideal candidate has a strong background in machine learning, data analysis, and software development, with experience in deploying models in production environments. The position offers an opportunity to work on cutting-edge AI projects that influence the company's strategic direction.Requirements:<ul><li> Proven experience in machine learning, deep learning, and statistical modeling.</li><li> Strong programming skills in Python, Java, or C++.</li><li> Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.</li><li> Knowledge of data processing and feature engineering.</li><li> Ability to deploy machine learning models in cloud environments like AWS, Azure, or GCP.</li><li> Excellent problem-solving and communication skills.</li><li> Bachelor's or Master's degree in Computer Science, Data Science, or related field.</li></ul>Benefits:<ul><li> Health insurance</li><li> Dental and vision coverage</li><li> 401(k) retirement plan</li><li> Paid time off (PTO) and holidays</li><li> Parental leave</li><li> Remote work flexibility</li><li> Professional development opportunities</li><li> Wellness programs</li></ul>

Workday

Senior/Principal Machine Learning Engineer The role involves developing and implementing advanced machine learning models to drive innovation and efficiency within the organization. The Senior/Principal Machine Learning Engineer will be responsible for creating scalable machine learning models, optimizing algorithms, and deploying AI solutions. The role requires working closely with data scientists, software engineers, and product teams to develop innovative AI features that enhance the company's offerings. The ideal candidate has a strong background in machine learning, data analysis, and software development, with experience in deploying models in production environments. The position offers an opportunity to work on cutting-edge AI projects that influence the company's strategic direction. Senior/Principal Machine Learning Engineer Artificial Intelligence Workday Enterprise Software Human Resources Financial Services Cloud Computing SaaS Python TensorFlow PyTorch scikit-learn AWS Azure GCP

This position focuses on designing, building, and deploying machine learning solutions at scale. The candidate will collaborate with cross-functional teams to deliver impactful AI-driven products.

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