What You'll Accomplish
- Expand, mature, and optimize our ML platform built around cutting edge tooling like Ray, MLFlow, Metaflow, Argo, and Spark to support traditional, deep learning, and reinforcement learning ML models
- Build and mature capabilities to support CPU / GPU clusters, model performance monitoring, drift detection, automated roll-outs, and improved developer experience
- Build, operate, and maintain a low-latency, high volume ML serving layer covering both online and batch inference use cases
- Orchestrate Kubernetes and ML training / inference infrastructure exposed as an ML platform
- Expose and manage environments, interfaces, and workflows to enable ML engineers to develop, build, and test ML models and services
Your Expertise
- You have been working in the areas of ML Platform / MLOps for 5+ years, and have an understanding of gold standard practices and best in class tooling for ML
- You have owned and built core components of an ML Platform using tools such as Spark, Ray, MLFlow, Kubeflow, or Metaflow
- Python is your coding language of choice, and you’ve worked with Python as both a batch analysis tool and online service framework
- Your passion is exposing platform capabilities through interfaces that enable high performance ML practices, rather than designing ML experiments (this team does not directly develop ML models)
- You understand the key differences between online and offline ML inference and can voice the critical elements to be successful with each to meet business needs
- You understand the importance of CI/CD in building high-performing teams and have worked with tools like Jenkins, CircleCI, Argo Workflows, and ArgoCD
Sample Projects
- Design and implement an online inference pipeline with champion/challenger shadow model testing
- Scale real-time feature streaming use cases to handle low-latency, high-volume RL use cases
- Build a universal data access layer (DAL) and serving interface to expose predictions to different parts of Attentive’s products
- Mature platform interfaces toward full self-service for stakeholders
- Improve existing build and release pipelines for better reliability and Python package management
Top Skills
What We Do
Attentive® is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer’s purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leveraging AI-powered tools, a mobile-first approach, two-way conversations, and enterprise-grade technology, Attentive drives billions in online revenue for brands around the globe. Trusted by over 8,000 leading brands such as CB2, Urban Outfitters, GUESS, Dickey’s Barbeque Pit, and Wyndham Resort, Attentive is the go-to solution for delivering powerful commerce experiences for consumers with the brands they love.
To learn more about Attentive or to request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.
Why Work With Us
At Attentive, you'll connect with inspiring, high-caliber people, and be encouraged to take risks, get creative, and think bigger. We're solving big problems for our customers, through our innovative AI solutions, giving employees the opportunity to thrive along the journey. The sky's the limit when it comes to what's possible.
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