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United States
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Requirements
2+ years of proven experience building deep learning models for large-scale recommender systems.
• Proficiency in ML frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL, Python, and Spark for data analysis and manipulation. Experience working with Databricks is a plus.
• Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
• Experience working with cloud platforms like Azure or GCP.
• Experience working with Data Engineering and MLOps is desirable.
• High level of independence to develop and own toolkits, pipelines, and dashboards.
• Excellent problem-solving skills and a proactive approach to addressing challenges.
• Strong analytical and critical thinking skills with attention to detail.
• Prior experience in the retail or e-commerce industry is a plus.
• Must be able to learn from others and teach others, and work collaboratively as part of a highly interdependent team.
• Ability to communicate complex ideas effectively to both technical and non-technical stakeholders
Bachelor's degree
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