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:

• 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 2+ 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