Manager, ML Engineering

Added
18 days ago
Type
Full time
Salary
Salary not provided

Related skills

aws python kubernetes kafka mlops

πŸ“‹ Description

  • Lead and grow Cortex ML/Delivery team across India and the UK.
  • Run effective 1:1s, performance reviews, and career development.
  • Own end-to-end delivery of Cortex AI initiatives and production support.
  • Drive deployment of new capabilities like Audio Analytics and In App Translation.
  • Evolve model deployment with gated cycles (shadow, canary, rollout).
  • Align Cortex roadmap with Eng leadership, PM, TPM, and platform teams.

🎯 Requirements

  • 2+ years engineering management in AI/ML, platform, or MLOps.
  • Proven track record delivering production ML/AI at scale.
  • Bridge research handoff to production engineering for reliable services.
  • Manage distributed teams across geographies and time zones.
  • Build trusted relationships with Product, TPM, and platform stakeholders.
  • Hands-on engineering background; able to contribute to design reviews.

🎁 Benefits

  • Hybrid role in Bangalore; 3 days on-site per week.
  • AI-first culture; use Windsurf and Claude Code daily.
  • Shape Cortex AI platform roadmap and direction.
  • Collaborate with global teams across India, UK, Cognition.
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