Remote MLOps Engineer

Summary

Join our high-velocity, talented AI research and software engineering teams to build innovative Applied Computer Vision and Enterprise AI solutions addressing critical public sector problems.

Requirements

• 3+ years of experience with Python, focusing on Machine Learning or Computer Vision (PyTorch/TensorFlow)
• Strong MLOps philosophy and experience with associated tooling (Git, CI/CD, Docker, Kubernetes, Kubeflow, Hydra)
• Experience building and maintaining CI/CD pipelines with an emphasis on DevOps best practices
• 3+ experience with large scale software development: testing, automation, system-design, performance optimization, concurrent development
• 3+ years of cloud exposure: AWS, Google Cloud, Azure (at least one of them)
• Comfortable working in a shell environment
• Experience working with complex existing codebases
• Eligible to obtain a U.S. Secret Security Clearance (U.S. Citizenship)

Responsibilities

• Collaborate with scientists and engineers to enhance object detection, segmentation, tracking, and visual search capabilities and develop new products
• Deploy production-ready models to customers and iteratively improve them based on feedback
• Maintain our research ML infrastructure
• Transition research projects from proof of concept to production
• Integrate your work directly into Clarifai’s AI orchestration platform

Preferred Qualifications

• Experience in object detection and tracking
• Experience with model export (Torchscript, TensorRT)
• Experience with Golang, relational databases