Manager, Machine Learning Engineering

Bangalore, Karnataka💼 Full-time🗓 2026-06-02 → 2026-08-09

Core

Lead and grow the Cortex team to drive technical delivery of AI service initiatives and define the direction of Smarsh's AI platform capability.

Role type

Engineering Manager for Machine Learning

Builds

AI services including Audio Analytics as a Service, In App Translation, and Intelligent Agent Review

Domain

Financial services, healthcare, government compliance and intelligence

Deliverable

production ML models

Required skills

Team leadership, technical delivery management, model operations, pipeline management, SLO definition, hiring, onboarding, capacity planning

Preferred skills

Experience with AI productivity tools (Windsurf, Claude Code)

Technologies

Windsurf, Claude Code

Responsibilities

Lead, mentor and grow a team of 4 ML Engineers and 1 Delivery Engineer; Own end-to-end delivery of Cortex initiatives from planning to production release; Work with Applied ML team to take in-house models from research handoff through to production-grade deployment; Own and evolve Cortex's gated model deployment pipeline; Establish model evaluation and monitoring frameworks; Maintain and improve Cortex's operational SLOs, reliability posture, and incident response process

Seniority

Manager, hands-on leadership

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About smarsh

Smarsh is seeking a Mid-Level HR Systems Engineer to support and maintain the HR technology ecosystem, including BambooHR, Lever, Lattice, ADP, and related platforms. This role starts by gaining deep working knowledge of the current tools, their configurations, and how they integrate with each other and with Okta and other applications. From there, the role will support day-to-day system changes and help inform whether and how the organization should strengthen its HR tooling. This position has room to grow in scope as HR systems strategy matures.