Remote Otter LogoRemoteOtter

Machine Learning Operations Manager - Remote

Posted 18 hours ago
Software Development
Full Time
India

Overview

The Machine Learning Operations Manager will oversee the end-to-end ML lifecycle, leading a high-performing team while ensuring collaboration between research, engineering, and operations.

In Short

  • Oversee the end-to-end Machine Learning lifecycle.
  • Lead a team of engineers in ML operations.
  • Ensure model training and deployment processes are efficient.
  • Monitor and optimize ML infrastructure.
  • Combine strategic leadership with technical expertise.
  • Facilitate collaboration between different teams.
  • Hands-on involvement in building scalable ML solutions.
  • Min 6 years of experience required.
  • Full-time position.
  • Remote work opportunity.

Requirements

  • 6+ years of experience in ML operations.
  • Strong leadership skills.
  • Proficient in ML tools and frameworks.
  • Experience with model deployment and monitoring.
  • Ability to work collaboratively across teams.
  • Excellent problem-solving skills.
  • Strong communication skills.
  • Hands-on experience with ML infrastructure.
  • Ability to manage multiple projects simultaneously.
  • Familiarity with cloud services is a plus.

Benefits

  • Work remotely from India.
  • Opportunity to lead a talented team.
  • Engage in cutting-edge ML projects.
  • Competitive salary and benefits package.
  • Flexible work hours.
  • Continuous learning and development opportunities.
  • Supportive work environment.
  • Access to the latest technologies.
  • Potential for career advancement.
  • Work-life balance initiatives.
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Weekday AI

Weekday AI, a Y-Combinator-backed company, operates as a sourcing engine on auto-pilot, facilitating the hiring of engineers through referrals from other tech professionals. Ranked #1 on Product Hunt, Weekday AI offers startups a streamlined hiring process that includes automated outreach and instant reference checks, enabling companies to receive qualified candidates within just four days of signing up.

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