AI Security - Data Scientist at CATO NETWORKS SINGAPORE PTE LTD

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Go, System Design, Performance, Debugging, AWS, Kubernetes, RDS, NLP, AI, ML/DL Systems, Transformer Architectures, Model Serving, MLOps, Cloud-Native Deployments, Optimization

Industry

Computer and Network Security

Description

Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! As part of this exciting journey, Cato recently joined forces with Aim Security — a fast-growing innovator redefining how organizations secure and build with AI. Backed by Cato’s global reach and powered by Aim’s startup energy, we’re building the future of AI Security together. The mission is to protect how the world adopts and builds with AI - from the world’s biggest enterprises to fast-moving disruptors. We tackle hard, unsolved problems in AI, cloud, and data security - the kind that shape the next decade of technology. Our products already serve Fortune 500 customers and forward-thinking organizations worldwide, and we’re just getting started. We are looking for a strong Data Scientist who wants to move into AI and and thrives in an end-to-end environment. You won’t be building models in isolation. You’ll join a multidisciplinary team that owns the full lifecycle of our AI Engine- from research ideas, through model serving and optimization, to monitoring and production reliability. If you’re a team-oriented engineer with strong communication skills and a passion for becoming a rockstar in the AI security space, we want you. What you’ll do End-to-End Ownership: from shaping research ideas and experimenting with models, to deploying, optimizing, and maintaining them in production. Solve Real-World Data Problems: Tackle real-world "data-problems" to improve the reliability and accuracy of our production evaluations. Optimize Runtime & Inference: Improve latency, throughput, and cost efficiency of our model serving stack. Think in terms of real traffic, constraints, and SLAs. Staying Scientific: Proactively stay updated on the latest developments in NLP and AI technologies, ensuring our approaches remain at the industry's forefront. What you bring 5+ years of hands-on programming in Python or Go (you know one well, and you’re comfortable picking up the others). Strong fundamentals in system design, performance, and debugging. 3+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence). B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit. Proven experience leading major projects: you’ve owned significant codebases or systems, taken them from design to delivery, and driven them into production. Experience (or strong interest) in the real-world behavior of ML/DL systems, with solid understanding of transformer architectures and modern NLP frameworks - a strong advantage. Experience deploying and scaling ML models, working with model serving frameworks, or contributing to MLOps workflows - a strong advantage. Why join us Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact. Bridge the best of startup energy with the scale and reach of Cato Networks: you’ll build for enterprise-grade reliability and commercial scale, and also retain the innovation spirit of a startup.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The role involves end-to-end ownership of the AI Engine lifecycle, from shaping research ideas and experimenting with models to deploying, optimizing, and maintaining them in production. Responsibilities also include solving real-world data problems to enhance evaluation reliability and optimizing model serving for latency, throughput, and cost efficiency.