Do what you love. Love what you do.
At Workday, we help the world’s largest organizations adapt to what’s next by bringing finance, HR, and planning into a single enterprise cloud. We work hard, and we’re serious about what we do. But we like to have fun, too. We put people first, celebrate diversity, drive innovation, and do good in the communities where we live and work.
The ML team within Workday Adaptive Planning focusses on building ML features embedded with the planning application. We use some of the most advanced deep learning frameworks to build ML features and scalable ML pipeline to build our products.
We are looking for an energetic team player eager to learn latest in ML and also contribute to the ever growing list of ML use cases.
Master’s or Bachelor’s degree in Financial Engineering , Computer Science , Finance , Economics
6+ years of experience working in the machine learning space.
Proven expertise in building and deploying large scale models in production.
Experience working with at least one of the following languages : Python , R
Experience working with CI/CD pipeline and shipping high quality production code.
Develops and programs integrated ML algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.
Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
Strong communication and organizational skills and ability to balance multiple priorities.
Full stack ML model development experience.
Experience working on a SaaS product.
Attention to detail and deep understanding of engineering best practices.
Experience with Agile development process.
Experience with Deep Learning frameworks like Pytorch , Tensorflow
Experience working with cloud environments desirable.