Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Supply Chain Software, Cloud Infrastructure, AI & Machine LearningIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science or a related field, along with a minimum of 7 years of experience in platform engineering, specifically within a SaaS environment. Strong experience with cloud-native technologies, including Kubernetes, Docker, and serverless architectures is required. Demonstrated expertise in designing and implementing scalable, reliable, and secure infrastructure is essential, as is a deep understanding of DevOps principles and practices. Experience with Infrastructure-as-Code tools such as Terraform or Pulumi is also necessary.
Responsibilities
As a Tech Lead Platform Engineer – AI & MLOps, you will design, build, and optimize Enable’s cloud-native SaaS platform, ensuring scalability, reliability, and efficiency across all aspects of the infrastructure. You will develop and maintain core infrastructure components, implement best practices for cloud cost optimization, security, and system reliability, and enhance API gateways and service orchestration. Furthermore, you will architect and manage scalable AI/ML pipelines, develop MLOps workflows, optimize ML model inference, and collaborate with data scientists and ML engineers. You will also implement Infrastructure-as-Code, build self-healing monitoring solutions, improve CI/CD processes, and establish robust logging and tracing, all while collaborating closely with engineering teams to support product innovation and reliability.
Skills
Cloud-native platform design
Distributed systems
MLOps tools (Kubeflow, MLflow)
Infrastructure-as-Code (Terraform, Pulumi)
CI/CD pipelines
Observability and monitoring
SaaS platform engineering
Enable
SaaS platform for managing rebate programs
About Enable
Enable specializes in rebate management software designed for business-to-business (B2B) trading partners. Its main product is a Software-as-a-Service (SaaS) platform that simplifies the management of rebate programs, which are financial incentives manufacturers offer to distributors or retailers. This platform helps companies track, manage, and optimize their rebates, transforming a traditionally reactive process into a strategic advantage. Unlike many competitors, Enable focuses on providing a comprehensive solution that includes not only software tools but also educational resources through its Rebate Strategist University, which offers courses and certifications in rebate management. The goal of Enable is to help businesses maximize their rebate opportunities, ultimately driving revenue growth and enhancing their operational efficiency.
Key Metrics
San Francisco, CaliforniaHeadquarters
2016Year Founded
$266.3MTotal Funding
SERIES_DCompany Stage
Enterprise Software, EducationIndustries
501-1,000Employees