Full-Time ML & Data Engineer

ML & Data Engineer (India)

About CommentSoldCommentSold is the North American leader in live selling technology, enabling over 7,000 small to mid-sized retailers. Its technology provides best-in-class live video commerce solutions. The acquisition of Popshoplive expanded into direct-to-consumer commerce. CommentSold introduced the Videeo video commerce plugin. New AI products (AI Clip hero, Model:Me, AI Sub Hero, etc.) were developed to enhance live selling shops.

About the roleThe ML & Data Engineer in the AI & Data Team will be a senior Data engineering expert and cross-departmental liaison. The role focuses on developing the company's platform for structured data (Data Warehouse) and unstructured data (Data Lake). Key responsibilities include setting up data pipelines, data crawlers, monitoring data jobs, data integration, and integrating machine learning processes.

Main Responsibilities

• Build a company-wide data platform.
• Drive data democracy and literacy within the company.
• Develop and maintain the Data warehouse and its staging layers.
• Oversee and adapt data ingestion and ETL jobs.
• Enable seamless flow of structured data.
• Scan internal and external data sources, proposing extensions and updates.
• Document the data dictionary and ETL processes.
• Own and upgrade the company's Data Lake.
• Integrate event tracking and data offloading into the Data Lake (including text, images, and video).
• Ensure integrations with API gateways and downstream services.
• Design and manage API integrations and automated data robots for external data ingestion.
• Design internal API microservices to support data exchange among products, systems, and external applications.
• Dock machine learning and computer vision models into data pipelines, designing data flow for AI services.
• Work with Engineering and Data teams on data tools and data product creation.
• Translate business needs into data platform extensions and adaptations.

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