Job Description
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
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