Manager, ML Engineering

Smarsh
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Python","Communication","Leadership","Problem-solving"]

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.

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FursaFursa
Smarsh
Smarsh
4 months ago

Manager, ML Engineering

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Last checked: 9 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
WebsiteLinkedIn