דרושים » הנדסה » Data Scientist and AI Prompt Engineer

We are seeking an experienced and analytical Intelligence Methodologist to join our new Gen AI team.
You will collaborate with analysts, product managers, data scientists and developers to design and optimize investigative workflows, ensuring our solutions address real-world intelligence challenges effectively. This is a unique opportunity to combine your expertise in intelligence methods with cutting-edge conversational Gen AI technology.
As an employee, you will:
Work closely with product managers and development teams to align investigative methodologies with the conversational AI's capabilities.
Develop and curate high-quality domain-specific datasets for training and evaluation.
Communicate findings, progress to stakeholders, and provide recommendations for further enhancements.
Provide expert knowledge and insights to ensure the LLM agent understands and processes domain-specific language accurately.
Design, document, and refine methodologies for conducting intelligence investigations.
Train intelligence analysts on the use of methodologies and tools.
Create documentation and training materials to support effective adoption of workflows.
Collaborate with internal teams and external partners to understand operational requirements.

One Security Operations Center (SOC) is a new team under Modern Protection & Security Operation Center, our vision is to empower every SOC team to protect their entire digital estate, optimize for their unique environment and needs. We build the ultimate unified one-stop-shop solution, making SOC teams most effective and efficient and deliver optimized protection that meets customers where they are, leading Extended Detection and Response (XDR)+ Security Information and Event Management (SIEM) market.
We are looking for an innovative data scientist with NLP expertise, strong technical skills and desire to make significant impact through data and research. A successful candidate will be an excellent hands-on applied data scientist who is enthusiastic about NLP, LLMs, data, security, and real-world problem solving
Responsibilities
As a senior data scientist on our team, you will work closely with other data scientists, security experts, software engineers, and product managers to tackle many different types of problems. You will utilize generative AI tools, anomaly detection algorithms, supervised and unsupervised learning methods, statistical methods, time series analysis, and more, to help customers investigate security incidents and protect their environments. You will be up to date with our customers needs and the competitive landscape and work with internal and external teams to build advanced solutions for SIEM and XDR. You will process hundreds of PBs and code mainly in Python and PySpark. You will be independent but surrounded by a large team of strong and experienced multi-disciplinary researchers

Required AI Software Engineer
About the Business Unit:
The Vision Business Unit (VBU) is a unique department combining a dynamic startup working environment with a stable and well positioned IP company. A VBU Software organization goal is to create and supply the most cutting-edge embedded software and graph compiler core for AI and Vision applications. We are a forward-thinking, innovative organization that continuously pushes technological limits to enable widespread access to fields like augmented reality, virtual reality, 3D processing, and Generative AI.
About the Role:
In this role, you will learn and deeply understand the AI domain including neural network models, quantization techniques, network performance and precision. You will develop most advanced Neural Network Graph Compiler tools that will be used by our customers across the globe.
Responsibilities:
Develop and implement software compiler for deployment of AI models on proprietary hardware. Optimize high-level algorithm implementations for our NPU and DSP architecture. Independently manage projects from start to finish, ensuring timely delivery. Collaborate with cross-functional teams to integrate solutions into products. Conduct thorough testing and debugging of software. Stay updated with the latest advancements in AI compiler technologies.