Speedcast Benefits Overview

Own the end-to-end machine learning lifecycle, including developing, evaluating, deploying, monitoring, and retraining models for forecasting, anomaly detection, and classification. Build feature and training-data pipelines, establish MLOps standards, and productionize reliable ML services on AWS. Collaborate with stakeholders and data engineers, communicate model outcomes, mentor AI Engineers and data scientists, and evaluate emerging ML technologies.

Owns end-to-end availability, performance, security, cost, and service quality for strategic TechOps platforms. Responsibilities include Tier 3 incident leadership, change management, vendor and TAM relationships, platform health monitoring, automation, operational documentation, runbook development, support-team training, roadmap feasibility assessment, customer escalation support, licensing efficiency, technical debt management, and disaster recovery testing. The role serves as the senior technical authority while partnering closely with Product Management and operational teams.

Leads Speedcast’s India operations and regional business development strategy across India, Southeast Asia, and the Middle East. Owns country-level P&L, regulatory compliance, team building, market entry, revenue growth, and strategic partnerships with ICTs, telcos, system integrators, and enterprises. Drives complex commercial negotiations, cross-border connectivity opportunities, Starlink relationships, pipeline development, and executive stakeholder engagement while coordinating with product, engineering, operations, legal, and finance teams.