Overview
Skills
Job Details
You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Engineers have solid technical background but enjoy learning new languages, technologies, and frameworks. From creating an experimental machine learning prototype to deploying a production-ready backend, engineers take many hats to see projects to completion.
Location: Irving, TX (5 days onsite)
Key Responsibilities:
- Research, prototype, and develop AI solutions to build personalized systems.
- Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products.
- 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 with SQL, PySpark and Python.
- 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 Databricks platform.
- Experience building ML models with large amounts of structured and unstructured data.
Rate: $60-70/hour (depends on experience level). This is a contract position with candidates expected to work 40 hours/ week. Contract duration is 6 months with possible extensions. This position currently does not offer any benefits.