Teams at Kavi Software Technologies Private Limited (Kavi Global)

Develops and deploys machine learning models, performs exploratory and statistical analysis, builds data pipelines, conducts experiments, and communicates insights to technical and business stakeholders. Owns the end-to-end model lifecycle, including feature engineering, deployment, and monitoring. Collaborates across product, engineering, and business teams, applies tools such as MLOps platforms and cloud services, and mentors junior data scientists or analysts.

Designs, builds, and maintains scalable batch and real-time data pipelines, warehouses, lakes, and models supporting analytics and machine learning. Responsibilities include data quality monitoring, database optimization, cloud infrastructure management, governance, security, CI/CD, documentation, and production troubleshooting. The role collaborates with data scientists, analysts, and product teams to deliver reliable datasets and infrastructure.

Develops sales decks, proposals, capability presentations, RFP/RFI responses, and sales enablement content. Conducts industry research, translates technical concepts into business-focused messaging, and collaborates with Sales, Marketing, Delivery, design teams, and subject matter experts. Supports client-facing presentations and manages content projects independently in a fast-paced environment. Requires strong PowerPoint, research, writing, presentation development, and stakeholder communication skills, along with familiarity with IT services and technologies such as cloud, AI, and data analytics.