Remote AI/ML Engineering Lead — Production & MLOps

Ladders

United States

Remote

USD 149,000 - 255,000

Full time

4 hours ago
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Benefits offered by this job

Comprehensive benefits
Incentive programs
Equity options
401k contributions
Flexible remote work

Job summary

Ladders is seeking a Sr. Manager, AI/ML Engineering (Digital Experience) to join a leader in Healthcare.

This role will design and deploy AI solutions that improve digital experiences and solve complex business challenges across the enterprise, with production‑ready pipelines and a strong MLOps focus. You will partner with technical leaders and business stakeholders to shape roadmaps, evaluate emerging trends, and deliver reliable, scalable AI/ML platforms.

Qualifications

  • 8+ years in software, data, or machine learning engineering.
  • 5+ years developing and deploying AI solutions in production.
  • 3+ years in technical leadership or people management.
  • 3+ years with cloud platforms (AWS, Azure, GCP).
  • 3+ years implementing MLOps frameworks and CI/CD pipelines.

Responsibilities

  • Design and deploy AI solutions for complex business challenges
  • Utilize enterprise-approved AI tools for workflow automation
  • Evaluate trends to guide solution design and innovation
  • Lead teams in building scalable AI/ML pipelines and platforms
  • Establish MLOps best practices for model deployment and monitoring
  • Collaborate with technical leaders and stakeholders on roadmaps
  • Mentor team members and advocate for engineering excellence

Skills

AI/ML engineering
Engineering leadership
Mentoring
Roadmap collaboration

Tools

AWS
Azure
GCP
MLOps frameworks
CI/CD pipelines

Job description

Ladders is seeking a Sr. Manager, AI/ML Engineering (Digital Experience) to join a leader in Healthcare.

This role will design and deploy AI solutions that improve digital experiences and solve complex business challenges across the enterprise, with production‑ready pipelines and a strong MLOps focus. You will partner with technical leaders and business stakeholders to shape roadmaps, evaluate emerging trends, and deliver reliable, scalable AI/ML platforms.

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