About the role

As a ML Engineer, you will be responsible for identifying patterns and generating insights from application and event data using supervised and unsupervised ML approaches. These insights will be critical to accelerating go-to-market strategies and operational performance in customer-centric organizations. You will play a key role in the development, training, and performance management of AI models, analyzing diverse datasets from sources such as application telemetry, CRM, support, accountingbilling , and web analytics. The position involves working closely with 1–5 customers as a highly trusted and billable AI/ML Engineer. Joining an early-stage AI startup, you will also contribute to the growth of delivery methodologies and AI/ML workbenches.

Responsibilities

• Aggregate, analyze and generate supervised & unsupervised ML insights from large application telemetry data sets.
• Consolidate and manage high-value datasets via...