At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us on our journey?

We are seeking an Architect to join the Office of the CTO at JFrog and be part of a group of Architects who provide technical leadership and help Engineering build next-generation products to manage modern software releases.

As an Architect at JFrog you will...

• Design, develop, and implement POCs for machine learning models and AI solutions to address business needs and objectives
• Collaborate with data scientists and other stakeholders across the organization to understand data requirements and design appropriate AI/ML architectures
• Stay updated with the latest AI/ML trends and technologies and incorporate them into the business as applicable
• Evaluate and recommend AI/ML tools and frameworks to enhance productivity and effectiveness
• Ensure the scalability and reliability of AI/ML architectures
• Provide technical guidance and mentorship to development teams on AI/ML technologies and practices
• Document AI/ML architectures and solutions for future reference and other team members
• Help to steer the AI/ML priorities of the company
  
  

To be an Architect at JFrog you need…

• Proven experience as an AI/ML Architect or similar role
• Strong knowledge of machine learning algorithms and principles
• Proficiency in AI/ML tools and frameworks such as LLMs, LangChain, Hugging Face Transformers, TensorFlow, PyTorch, or similar
• Experience with cloud platforms like AWS, Google Cloud or Azure
• Familiarity with programming languages such as Python, or R
• Knowledge of Big Data technologies like Hadoop, Spark, etc.
• Experience in deploying AI/ML models in production environments
• Bachelors or higher degree in Computer Science, Data Science, or a related field
• Excellent problem-solving abilities and analytical skills
• Strong communication and team collaboration skills