Data-driven ecommerce operator with automation and generative AI focus
OJ Commerce runs a multi-category ecommerce business ($200M revenue run rate) built on heavy automation and data infrastructure. The tech stack spans Python, R, .NET, Kubernetes, and cloud (AWS/GCP/Azure), with active investment in generative AI (OpenAI, Hugging Face, LangChain, TensorFlow, PyTorch) and machine learning pipelines. The hiring mix—weighted toward engineering and data roles with senior-level seniority dominance—reflects ongoing platform modernization: legacy application migration to cloud, scalable architecture design, and defect reduction via AI-assisted factory and warehouse monitoring.
OJ Commerce is a profitable, data-intensive online retailer founded in 2010, headquartered in Miramar, Florida. The company operates across nine product categories—furniture, sports, toys, electronics, lighting, baby gear, musical instruments, pets, and home improvement—with operations engineered to run with minimal manual intervention. The business has invested heavily in analytics and machine learning infrastructure to drive cost reduction, operational performance, and supply-chain quality. Current strategic work centers on cloud migration, generative AI solutions, and end-to-end ML pipelines for defect identification and prevention.
Python, R, .NET, SQL, Kubernetes, Docker, Jenkins, and cloud platforms (AWS, GCP, Azure). Machine learning: TensorFlow, PyTorch, scikit-learn, Keras. Generative AI: OpenAI, Hugging Face, LangChain, Diffusers.
Cloud-based application deployment, scalable generative AI solutions, end-to-end ML pipelines, factory monitoring and defect reduction, legacy system migration, and product line marketing at $200M revenue run rate.
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