Data Scientist

About the roleAs 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, accounting/billing, 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 REST APIs or Extract, ...