Job Description

Key Responsibilities :

• Research, prototype, and develop AI/ML solutions to build personalized systems.
• Build, deploy and analyze AI/ML solutions and perform statistical experiments when deploying new AI products.
• Analyze and segment customer data and clearly visualize customer behavior to make product decisions.
• 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:

• 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 4+ years of experience with SQL, PySpark and Python.
• 4+ years of experience training, evaluating and deploying Machine Learning models.
• 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• 1+ years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks.
• 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.

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