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At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate. We are looking for a passionate, hands-on Software Engineer to join the JFrog ML Registry group. You will join the group that serves as the entry point for our customers into the world of AI/ML. We provide a comprehensive registry that allows users to manage their own artifacts, proxy open-source models, and seamlessly integrate external model providers (such as GPT, Claude, etc.). We are responsible for this central hub and for automating MLOps pipelines, enabling customers to manage, secure, and deploy their machine learning integrations efficiently. We build scalable, distributed services and the client tools that connect to them.
Job Responsibility:
Work alongside senior engineers to develop features for our Model Registry and MLOps automation services
Develop and maintain the SDKs and CLIs that Data Scientists and DevOps engineers rely on to interact with our platform
Learn to implement security and governance standards within the code
Participate in architectural discussions
Explore new tools and methodologies to improve our existing products and open-source components
Requirements:
Strong proficiency in Python/Java
Quick, enthusiastic learner who dives deep into new frameworks and technologies
Social team player who values open communication
Solid understanding of data structures, design patterns, and software design methodologies
Nice to have:
Experience with Java and/or Python
Experience working with relational Databases (SQL)
Hands-on experience with Docker, Kubernetes, and Helm charts
Familiarity with MLOps concepts or the AI/ML landscape