AI Engineer

Silverfort is a cyber-security startup that develops a revolutionary identity protection platform. Using patented technology, our product enables strong authentication across entire corporate networks and cloud environments, without any modifications to endpoints and servers. In addition, we use advanced behavior analytics to apply adaptive authentication policies and prevent cyber-attacks in real time.

Our mission is to provide industry-leading unified identity protection solutions for hybrid and multi-cloud environments. We develop cutting-edge cybersecurity technology that solves urgent customer needs today and is also a game changer for years to come.

Silverfort’s team includes exceptional researchers, engineers, and technology experts who successfully tackle some of the most complex challenges in cyber-security. Silverfort has happy customers worldwide, strong market validation (including several industry awards), strategic partnerships with the largest security vendors in the world, and significant funding from leading VCs.

As an AI Engineer at Silverfort, you will design, develop, and optimize AI solutions to drive product innovation. Collaborating with cross-functional teams, you’ll tackle complex challenges and ensure the scalability and reliability of our AI/ML architectures.

Responsibilities:

• Design, develop, and implement AI solutions aligned with business objectives
• Identify, understand, and tackle challenges in integrating and implementing AI/ML solutions
• Collaborate effectively with cross-functional teams to integrate AI capabilities into the product and across Silverfort
• Stay at the forefront of AI advancements, continually updating your knowledge of trends, tools, and best practices
• Provide technical mentorship and guidance on AI/ML technologies and methodologies
• Ensure the scalability, reliability, and efficiency of AI/ML architectures
  
  

• 3+ years of experience as an AI Engineer or Data Scientist or proven experience in AI/ML or similar positions
• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field
• Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure
• Proficiency in Python and familiarity with AI tools, frameworks, and libraries
• Proficient in machine learning algorithms, especially in areas such as LLMs, classification, anomaly detection, and tabular data analysis
• Familiarity with Data Science Python libraries such as SciKit-Learn, XGBoost, AutoTS, LightGBM
• Excellent problem-solving abilities and analytical skills
• Strong communication skills with the ability to collaborate effectively within teams