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 – dont miss it!
As part of this exciting journey, our company recently joined forces with Aim Security – a fast-growing innovator redefining how organizations secure and build with AI.
Backed by our companys global reach and powered by Aims startup energy, were building the future of AI Security together.
The mission is to protect how the world adopts and builds with AI – from the worlds 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 were just getting started.
We are looking for a strong AI Engineer who wants to move into AI and and thrives in an end-to-end environment. You wont be building models in isolation. Youll 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 youre a team-oriented engineer with strong communication skills and a passion for becoming a rockstar in the AI security space, we want you.
What youll 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.
As part of this exciting journey, our company recently joined forces with Aim Security – a fast-growing innovator redefining how organizations secure and build with AI.
Backed by our companys global reach and powered by Aims startup energy, were building the future of AI Security together.
The mission is to protect how the world adopts and builds with AI – from the worlds 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 were just getting started.
We are looking for a strong AI Engineer who wants to move into AI and and thrives in an end-to-end environment. You wont be building models in isolation. Youll 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 youre a team-oriented engineer with strong communication skills and a passion for becoming a rockstar in the AI security space, we want you.
What youll 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.
Requirements:
5+ years of hands-on programming in Python or Go (you know one well, and youre 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: youve 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.
5+ years of hands-on programming in Python or Go (you know one well, and youre 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: youve 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.
This position is open to all candidates.
