Senior Engineering Manager, MLOps at Quince - ScoutJobs - The AI-curated global job board
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Posted 10 hours ago

Senior Engineering Manager, MLOps

Quince

Requirements

10+ years industry experience, 3-5 years management experience in MLOps or ML Infra, Expertise in AWS, Kubernetes, and Docker, Experience with PyTorch or TensorFlow, Knowledge of Spark, Flink, or Kafka

Skills

MLOpsKubernetesAWSPythonTerraformPyTorch

About the role

Responsibilities

  • Architect a long-term MLOps roadmap to transition workflows to a fully automated, self-service platform
  • Build and maintain end-to-end infrastructure for model training, deployment, and serving
  • Partner with business leaders to align infrastructure investments with e-commerce drivers
  • Lead "build vs. buy" evaluations for cloud-native services versus custom internal tools
  • Oversee the uptime, performance, and scalability of production ML services
  • Manage compute governance and optimize high-cost resources like GPU clusters
  • Recruit, mentor, and lead a high-performing team of ML Infra and DevOps engineers
  • Establish MLOps standards including CI/CD for ML and Infrastructure as Code
  • Bridge the gap between AI Research and Engineering by translating research needs into actionable requirements
  • Define and track velocity metrics such as deployment frequency and MTTR
  • Champion operational excellence through root-cause analyses and systemic fixes
  • Monitor emerging trends in LLM-ops and vector databases to future-proof infrastructure

Requirements

  • 10+ years of industry experience
  • 3-5 years in a leadership or management role focused on ML Infrastructure, MLOps, or Data Platforms
  • Proven track record of scaling MLOps platforms supporting the full model lifecycle
  • Deep expertise in AWS and orchestration tools like Kubernetes (EKS), Docker, and Terraform/Pulumi
  • Hands-on experience with PyTorch, TensorFlow, Kubeflow, or SageMaker
  • Expertise in building Feature Stores and high-throughput data pipelines (Spark, Flink, or Kafka)
  • Experience partnering with AI Research and Data Science teams
  • Strong understanding of CI/CD for ML and deployment strategies like blue-green or canary
  • Experience managing high-cost compute resources and optimizing GPU utilization
  • Excellence in operational leadership and driving service stability
  • Product-oriented mindset with ability to prioritize based on business ROI
  • Exceptional communication and influence skills

About the Company

Quince is a direct-to-consumer (DTC) tech company disrupting the retail industry by putting AI, analytics, and automation at the center of everything they do. Founded in 2018, Quince aims to provide high-quality essentials at low prices through sustainable and fair production models.

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Senior Engineering Manager, MLOps

Quince · Palo Alto

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