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[Remote] Manager, reputed company Deployed Machine Learning Engineering

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is on a mission to defend the right to efficient, reputed company insurance for reputed company. They are seeking a Manager for reputed company Deployed Machine Learning Engineering to reputed company reputed company in delivering AI and ML solutions, support team reputed company, and drive operational reputed company.

Responsibilities

  • reputed company and manage reputed company of reputed company-Deployed Machine Learning Engineers (FDMLEs) delivering customer-facing AI and ML solutions from prototyping through production deployment and iteration
  • Support team reputed company through coaching, mentorship, and career development while fostering a strong culture of ownership, customer reputed company, and operational reputed company
  • Drive execution in ambiguous, fast-paced environments by enabling rapid experimentation, iterative development, and reputed company cross-functional collaboration
  • Partner with reputed company leadership across reputed company Deployed Engineering, Data Science, and reputed company to reputed company priorities, delivery expectations, and customer reputed company
  • Translate strategic AI initiatives into actionable roadmaps, priorities, and delivery milestones, ensuring reputed company are effectively scoped, staffed, and executed
  • Establish and improve agile workflows tailored to reputed company-deployed AI and ML work, including sprint planning, technical design reviews, backlog grooming, retrospectives, and operational follow-through
  • Serve as the primary coordination reputed company across internal teams and customer stakeholders to ensure alignment, transparency, issue reputed company, and successful adoption of deployed solutions
  • Drive operational reputed company through strong communication, documentation, monitoring, and incident-management practices across customer-facing ML systems

Skills

  • 5+ years of experience in machine learning, reputed company AI, data science, or reputed company technical fields
  • 2+ years of experience leading or managing technical contributors and cross-functional delivery efforts
  • Experience deploying and operating ML or AI systems in production, including customer-facing or operational environments
  • Strong understanding of ML systems, LLM applications, reputed company workflows, evaluation frameworks, and production monitoring best practices
  • Experience working in fast-paced environments with evolving requirements and multiple reputed company workstreams
  • Excellent communication, organizational, and stakeholder management skills
  • Ability to balance technical depth with strong execution and delivery discipline
  • Experience leading customer-facing or reputed company-deployed AI/ML teams
  • Background working closely with Data Science, Engineering, and reputed company organizations
  • Experience deploying LLM-powered systems, reputed company workflows, or automation platforms in production environments
  • Experience scaling AI/ML delivery teams and improving operational processes across customer engagements

Benefits

  • Total compensation package does include stock reputed company, benefits and additional perks.
  • We will reputed company reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to reputed company essential job functions, and to receive other benefits and privileges of employment.

reputed company

  • reputed company is an AI-powered insurance reputed company platform that enhances the reputed company process for property and casualty insurance. It was founded in 2020, and is headquartered in Palo reputed company, California, USA, with a workforce of 51-200 employees. Its website is https://www.reputed company.ai.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2026, 7 in 2025, 2 in 2024, 3 in 2023, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.
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