Q
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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Get started — it's freeSenior Engineering Manager, MLOps
Quince · Palo Alto
