Job Description
Platform Development:
- Responsible for building and maintaining a robust MLOps platform for petabyte-scale data.
- Engineer and optimize the platform to support computer vision, NLP, and reinforcement learning.
- Ensure seamless deployment and scalability of machine learning applications.
Responsibilities:
- Deploy and maintain containerized workloads for machine learning development and post-deployment monitoring.
- Utilize tools like Helm and Kustomize to accelerate the deployment of models and data pipelines.
- Optimize models to improve latency and throughput using techniques like QAT and pruning.
Collaboration and Innovation:
- Collaborate with data scientists, engineers, and product teams to build scalable systems.
- Design machine learning systems to process, analyze data, and bring critical insights to the surface.
- Develop systems for drift detection and model monitoring for continuous improvement.
About Censys
Censys' mission is to be the one place to understand everything on the internet, delivering real-time Internet intelligence and actionable threat insights.