Key Responsibilities : Research, prototype, and develop software solutions to solve problems across retail Stay up to date with emerging technology and learn new technologies/libraries/frameworks Learn and partner with peers across multiple disciplines, such as data, product, and systems design Deliver on time with a high bar on quality of research, innovation and engineering Basic Qualifications: 3 years of experience with statistical data science techniques, feature engineering, customer segmentation etc. 3 years of experience training, evaluating and deploying Machine Learning models. 2 years of experience with productionizing and deploying ML workloads in AWS/Azure. Familiarity with containerized application tooling and deployments (Docker/Kubernetes) Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience Extra Credit: Experience with AWS Sagemaker and/or Databricks AI/ML platform. Experience building ML models with large amounts of structured and unstructured data.
