Smarsh

2 months ago

Manager, ML Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Engineering Manager leading the Cortex ML team, delivering production ML services at scale, guiding end-to-end AI service delivery, and aligning ML research with production engineering across India and the UK in a hybrid work environment.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead, mentor and grow the Cortex team across India and the UK, including 4 ML Engineers and 1 Delivery Engineer, and manage hiring and onboarding.
•Own end-to-end delivery of Cortex initiatives from planning to production release and post-go-live support.
•Establish model evaluation, monitoring, and SLO-aligned deployment pipelines with quality gates, canary, and rollback criteria.
•Champion AI productivity tooling and define standards for AI-assisted development to increase velocity and code quality.
•Collaborate on Cortex technical roadmap with engineering leadership, Product Management, TPM, and sister Cognition teams to align delivery with business priorities.

Key Requirements

•2+ years of engineering management experience, ideally in an AI/ML, platform, or MLOps context.
•Solid track record of delivering production ML or AI services at scale.
•Experience at the interface between applied research or ML teams and production engineering — taking a model from handoff to a reliable, monitored service.
•Experience managing distributed teams across geographies and time zones.
•Demonstrated ability to build trusted relationships with Product, TPM, and platform stakeholders — translating business priorities into engineering plans and vice versa.

Experience:2+ yearsAI/MLMLOpsProduction MLCloud

Skills:PythonCommunicationLeadershipProblem-solving

Languages:English

Tech Stack:PythonKubernetesAWSSageMakerBedrockEKSKafkaParakeetNeMoXLM-RTriton Inference ServerSLOsWindsurfClaude Code

Company Brief

Smarsh

Provides cloud-based archiving, compliance, and e-discovery solutions that capture, retain, and monitor electronic communications across email, social media, mobile, and collaboration platforms for regulated industries.

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Portland, United States

Founded: 2001

Website LinkedIn

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Smarsh

2 months ago

Manager, ML Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead, mentor and grow the Cortex team across India and the UK, including 4 ML Engineers and 1 Delivery Engineer, and manage hiring and onboarding.
•Own end-to-end delivery of Cortex initiatives from planning to production release and post-go-live support.
•Establish model evaluation, monitoring, and SLO-aligned deployment pipelines with quality gates, canary, and rollback criteria.
•Champion AI productivity tooling and define standards for AI-assisted development to increase velocity and code quality.
•Collaborate on Cortex technical roadmap with engineering leadership, Product Management, TPM, and sister Cognition teams to align delivery with business priorities.

Key Requirements

•2+ years of engineering management experience, ideally in an AI/ML, platform, or MLOps context.
•Solid track record of delivering production ML or AI services at scale.
•Experience at the interface between applied research or ML teams and production engineering — taking a model from handoff to a reliable, monitored service.
•Experience managing distributed teams across geographies and time zones.
•Demonstrated ability to build trusted relationships with Product, TPM, and platform stakeholders — translating business priorities into engineering plans and vice versa.

Experience:2+ yearsAI/MLMLOpsProduction MLCloud

Skills:PythonCommunicationLeadershipProblem-solving

Languages:English

Tech Stack:PythonKubernetesAWSSageMakerBedrockEKSKafkaParakeetNeMoXLM-RTriton Inference ServerSLOsWindsurfClaude Code

Company Brief

Smarsh

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Portland, United States

Founded: 2001

Website LinkedIn