A retail tech company based in Palo Alto seeks a Senior Engineering Manager, MLOps, to architect automated ML workflows and build robust infrastructure. The role demands 10+ years of experience, focusing on ML lifecycle management and leadership skills. Ideal candidates will possess deep knowledge in cloud-native frameworks and tools, such as Kubernetes and AWS, and excel in fostering high-performing teams. Join us to help redefine retail through sustainable practices and exceptional value.
Qualifications
10+ years of experience with 3-5 years in a leadership role focused on ML Infrastructure.
Proven track record of building and scaling MLOps platforms.
Deep technical expertise in cloud-native infrastructure, preferably AWS.
Responsibilities
Architect a roadmap for automated ML workflows.
Build and maintain end-to-end infrastructure for model training.
Align infrastructure investments with e-commerce drivers.
Skills
ML Infrastructure
Leadership
Cloud-native infrastructure
MLOps
Kubernetes
Docker
Infrastructure as Code
AI Research Collaboration
Education
10+ years of industry experience
Tools
AWS
Kubeflow
PyTorch
TensorFlow
Job description
A retail tech company based in Palo Alto seeks a Senior Engineering Manager, MLOps, to architect automated ML workflows and build robust infrastructure. The role demands 10+ years of experience, focusing on ML lifecycle management and leadership skills. Ideal candidates will possess deep knowledge in cloud-native frameworks and tools, such as Kubernetes and AWS, and excel in fostering high-performing teams. Join us to help redefine retail through sustainable practices and exceptional value.