Design-led data science and low-code analytics platform for enterprise insights
Gramener builds data visualization and analytics solutions paired with a low-code platform (Gramex) for enterprises. The tech stack—Python, R, SQL, React, Tableau, AWS, Azure, Kubernetes, Apache Airflow—reflects a mature data engineering operation; active projects around MLOps, model deployment, CI/CD automation, and data pipeline architecture signal a shift toward production ML systems. Pain-point clustering around scaling ML reliability and model deployment suggests the firm is moving beyond consulting-driven analytics into platform-first delivery.
Notable leadership hires: Tech Lead, Tech Lead Architect
Gramener is a design-led data science firm founded in 2010, headquartered in Princeton, NJ, with 201–500 employees across four global locations (US, Canada, India, Singapore). The company serves pharmaceutical, manufacturing, technology, and public sector enterprises with data storytelling, automated analysis, and generative AI solutions. Gramex, their low-code platform, enables business analysts and citizen developers to build data applications without deep coding. The hiring mix—engineering-heavy with senior and lead-level roles concentrated in India and Pakistan—reflects a delivery model balancing design expertise with scalable delivery capacity.
Python, R, SQL, React, Tableau, AWS, Azure, Kubernetes, Apache Airflow, Docker, Jenkins, Terraform, AWS Lambda, Azure ML, and GitLab/GitHub CI/CD. HubSpot and LinkedIn for sales/marketing ops.
MLOps platform development, model deployment and monitoring, CI/CD pipeline automation, data pipeline architecture, custom delivery frameworks, and sales & marketing data science solutions. Active focus on scaling ML production systems and reliability.
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