Hybrid MLOps Director - Scale ML Infra & Production

Hidden Jobs

United States

Hybrid

USD 182,000 - 278,000

Full time

44 hours ago
Be an early applicant
Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

Hybrid work arrangement
Relocation not offered

Job summary

Hidden Jobs is seeking an Associate Director-level MLOps leader to oversee the infrastructure linking ML research and large-scale production within an AI-powered pathology platform. The role blends hands-on technical leadership with team management to evolve the stack for next-scale ML training and inference for clinical and research deployments.

You will build a long-term vision, mentor a 6–7+ engineer team, and collaborate with ML, data science, product engineering, and infrastructure leaders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience.
  • 8–10+ years in Software/ML Engineering with 4+ years managing engineering teams and platform strategy.
  • Deep expertise with ML workloads on Kubernetes, cloud platforms, workflow orchestration, and infrastructure-as-code (Helm, Terraform).

Responsibilities

  • Develop and execute the long-term vision and roadmap for the MLOps platform across business units, balancing tactical deliveries with architectural transformation.
  • Lead, mentor, and allocate work for a team of 6–7+ engineers while managing budgets and cloud costs.
  • Partner with ML, data science, product engineering, and infrastructure leaders to resolve bottlenecks and enable new solutions.
  • Architect compute and storage pipelines for managing millions of pathology slides and complex derived artifacts.
  • Modernize the inference stack to support 5–10x growth in AI runs across global deployments, in collaboration with Site Reliability Engineering.

Skills

Kubernetes
Cloud platforms
Workflow orchestration
Infrastructure as code
Petabyte-scale data
Multi-language systems
AI coding assistants
Team leadership
Budget management
Production inference

Education

Bachelor's or Master's degree in CS/Engineering or related field
Equivalent experience

Tools

Helm
Terraform
CI/CD for ML

Job description

Hidden Jobs is seeking an Associate Director-level MLOps leader to oversee the infrastructure linking ML research and large-scale production within an AI-powered pathology platform. The role blends hands-on technical leadership with team management to evolve the stack for next-scale ML training and inference for clinical and research deployments.

You will build a long-term vision, mentor a 6–7+ engineer team, and collaborate with ML, data science, product engineering, and infrastructure leaders

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior MLOps Leader — Scale & Reliability
Senior MLOps Leader — Scale & Reliability

PathAI • Boston (MA)

Hybrid
USD 182,000 - 278,000
Associate Director, MLOps Engineering
Associate Director, MLOps Engineering

Hidden Jobs • United States

Hybrid
USD 182,000 - 278,000
Hybrid work arrangement
Relocation not offered
AI/ML Platform Director — Scale & Production
AI/ML Platform Director — Scale & Production

Machinify • United States

Remote
USD 190,000 - 270,000
Medical coverage
Dental coverage
Vision coverage
+5
Associate Director, MLOps Engineering
Associate Director, MLOps Engineering

PathAI • Boston (MA)

Hybrid
USD 182,000 - 278,000
Principal MLOps Engineer & AI Platform Lead
Principal MLOps Engineer & AI Platform Lead

Socket.dev • Framingham (MA)

On-site
USD 158,000 - 294,000
Hybrid MLOps Engineer: Build & Scale ML Pipelines
Hybrid MLOps Engineer: Build & Scale ML Pipelines

Placements24 • United States

Hybrid
USD 94,000 - 148,000
Competitive salary
Hybrid work environment
Health and retirement benefits
+2
MLOps Engineer: Scalable ML Pipelines & Infra
MLOps Engineer: Scalable ML Pipelines & Infra

Compunnel, Inc. • San Antonio (TX)

On-site
MLOps Engineer — Scalable AI Infra & Deployment, Equity
MLOps Engineer — Scalable AI Infra & Deployment, Equity

Fundamental • United States

Remote
USD 180,000 - 260,000
Salary + equity
Health coverage for you and dependents
Parental leave for all
+2
ML Ops Architect: Scale ML Infra & CI/CD (Hybrid SF)
ML Ops Architect: Scale ML Infra & CI/CD (Hybrid SF)

Rise Technical Recruitment Limited • San Francisco (CA)

Hybrid
USD 140,000 - 180,000
Equity
Healthcare
401(k)
+1
Hybrid ML Ops Engineer — Scalable AI Infra for Autonomy
Hybrid ML Ops Engineer — Scalable AI Infra for Autonomy

Parallel Systems, Inc. • Los Angeles (CA)

Hybrid
USD 150,000 - 250,000