MLOps Engineer

Key Skills

Aartificial intelligence, AWS, Azure, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, DevOps, Docker, Google Cloud Platform (GCP), Kubeflow, Kubernetes-K8s, Machine learning techniques, MLOps tools, PyTorch, TensorFlow

Job Description

Note: We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas for this particular opportunity, as we are looking for someone who is eligible for a Secret or Top Secret Clearance.

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. You will maintain data ingestion and model development pipelines with a strong focus on detail and testing, deploy cutting-edge AI algorithms into production, and build and maintain efficient pipeline tooling. This role allows you to make a significant impact on both the company and the broader AI field by solving challenging customer problems and integrating real-world ML Ops pipelines into the Clarifai platform.

Key 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

Impact

You will drive customer acquisition and revenue growth, working closely with various teams across the company, including research, backend, infrastructure, product, frontend, and design. This role offers a unique opportunity to make a substantial impact on the company and the AI industry.

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)

Great to Have

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

The salary hiring range for this position is $125,000 - $175,000 and flexible depending on relevant experience.