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לפני 16 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Design System Tech Lead to lead the evolution of Design System into a modern, scalable, and AI‑ready frontend platform.
This role focuses on platform ownership, not feature development. You will be responsible for improving how designers, developers, and tooling (including AI tools) build consistent, high‑quality user interfaces across the company.
What youll do:
Lead the modernization and technical direction of the Design System.
Own component architecture, design tokens, theming, accessibility, and performance.
Improve developer and designer adoption by reducing friction, improving documentation, and simplifying upgrades.
Make the Design System machine‑readable and tool‑friendly, enabling automation and AI‑assisted development.
Define quality standards, testing strategy, and governance for Design System changes.
Work closely with product design, frontend teams, platform, and DevOps partners.
Mentor engineers and contribute to frontend platform best practices.
Requirements:
7+ years of frontend engineering experience.
Strong experience building or leading a Design System, UI platform, or shared frontend infrastructure.
Deep knowledge of React, component architecture, and scalable frontend patterns.
Experience working in large, multi‑team environments.
Strong communication and leadership skills.
This position is open to all candidates.
 
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17/09/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies- including AI-powered development tools.



Were a collaborative engineering team that values ownership, trust, high-quality design, and continuous improvement, with AI used as a tool to enhance productivity and decision-making. Engineers work closely with product and design, shaping solutions from discovery to delivery while challenging assumptions and focusing on solving the right problems. This role offers strong technical ownership, architectural influence, mentorship opportunities, and support for ongoing professional growth.

What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.
Requirements:
Requirements:
5+ years of hands-on experience in client-side development.
Strong experience with Angular or relevant experience in other frameworks and libraries.
Proven experience using AI tools in development workflows.
Strong understanding of software fundamentals and system design.
Experience influencing technical decisions and reviewing code.
Experience with Git (GitHub advantage).
Strong ownership, communication skills, and collaborative mindset.


Nice-to-Have:
Experience with Playwright or other modern testing frameworks.
Backend or full-stack development experience.
Familiarity with cloud environments and distributed systems.
Experience with data-intensive or security-sensitive systems.
Previous mentoring or technical leadership experience.
Ability to coach others in effective use of AI-assisted development.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
Join our Core SDK Team, responsible for building and maintaining the core mobile technology that powers our platform across millions of applications worldwide. The team develops high-performance, reliable, and secure SDK components used by developers globally.

The Core SDK team operates across Android and iOS platforms, with a long-term vision of a unified mobile SDK engineering team. Engineers collaborate across platform boundaries while maintaining deep expertise in their primary mobile ecosystem.

Operating at the intersection of mobile platforms and large-scale distributed systems, the team tackles complex challenges such as performance optimization, platform compatibility across thousands of devices, and maintaining highly reliable code that runs on billions of devices.

As the team evolves, we are also expanding beyond traditional mobile development and scaling engineering capabilities with AI. This includes building and using AI-powered tooling, MCP-based systems, and agent-driven automation to improve developer productivity, testing, and SDK innovation.

Engineers in the team therefore have the opportunity to work not only on mobile platform challenges, but also on emerging areas where mobile infrastructure, AI systems, and developer platforms intersect.

What youll do
Develop and maintain our mobile SDK features used by developers worldwide.
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions.
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability.
Debug and resolve complex issues across different devices, OS versions, and runtime environments.
Improve SDK performance, stability, and reliability at scale.
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments.
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms.
Collaborate with engineers across mobile, backend, frontend, and platform teams.
Participate in code reviews and contribute to engineering best practices.
Requirements:
What you have
B.Sc. in Computer Science or Software Engineering (or equivalent experience).
2-3 years of mobile development experience on Android or iOS.
Strong experience in one or more of the following: Kotlin, Java, Objective-C, or Swift.
Solid understanding of Android SDK, Android Studio,Gradle, Xcode.
Experience developing and maintaining production-level mobile applications or SDK components.
Good understanding of software engineering fundamentals (OOP, design patterns, data structures).
Experience debugging and troubleshooting mobile applications.
Very good English communication skills.
Strong ownership mindset and ability to learn and grow in a fast-moving environment.
Bonus points.
Experience with SDK or library development.
Experience working with cross-platform mobile frameworks (React Native, Flutter, Unity, etc.).
Knowledge of Android performance optimization and memory management.
Experience working with CI/CD pipelines and automated testing.
Familiarity with mobile security concepts.
Experience working with AI-assisted development tools, agents, or automation systems.
Recommended by our employee.
This position is open to all candidates.
 
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לפני 17 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time and Hybrid work
We are looking for an experienced Senior DevOps Engineer to join our Platform Services team. In this role, you will design, build, and operate scalable platforms and infrastructure across a hybrid on-premises and multi-cloud environment, enabling engineering teams to develop, deploy, and run services efficiently, securely, and reliably.
You will work in a complex, large-scale production environment that combines on-prem infrastructure with AWS, GCP, Kubernetes, Infrastructure as Code, automation, observability, and AI-driven technologies.
What you'll do:
Design, build, and maintain hybrid infrastructure spanning on-premses platforms, AWS, GCP, and multi-cloud architecture
Operate and scale Kubernetes-based containerized production environments
Implement and manage Infrastructure as Code using Terraform and Helm
Build and maintain CI/CD pipelines and automation with Azure DevOps, GitHub Actions, and Argo CD
Drive platform engineering initiatives - developer self-service portals, internal tooling, and golden paths
Establish and improve observability and reliability practices using Prometheus, Grafana, and Coralogix
Write automation scripts and tooling in Python, Bash, and PowerShell
Own cloud networking, security, IAM, secrets management, and governance across environments
Lead production troubleshooting, incident management, and root cause analysis
Architect solutions and provide technical leadership in close collaboration with R&D teams
Leverage AI-based tools to improve automation, incident analysis, operational efficiency, and developer workflow
Requirements:
6+ years of hands-on experience in DevOps, Platform Engineering, Infrastructure Engineering, or similar roles
Strong experience with hybrid on-premises and multi-cloud environments - especially AWS and GCP
Solid hands-on knowledge of Kubernetes, CI/CD, Infrastructure as Code, automation, and observability
Ability to design and lead infrastructure/platform projects in close collaboration with R&D teams
Strong troubleshooting skills and the ability to investigate complex production issues end-to-end
Ability to work independently, take ownership, and drive projects from design through production
A solution-oriented mindset, strong collaboration skills, and passion for improving developer experience
Curiosity and a hands-on approach to adopting AI-driven tools for DevOps and platform workflow
Available to participate in a 24/7 production on-call rotation as part of the DevOps team is required
This position is open to all candidates.
 
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07/09/2026
Location: Herzliya
Job Type: Full Time
We are looking for a talented software engineer with a passion for security to help build innovative edge-to-cloud security solutions for our next-generation devices and platforms.

You will contribute to and lead the development of core product features, from understanding system and product requirements and defining feature behavior, through architecture, design, and implementation, to delivering high-quality, secure services and endpoint components.

You will work across the stack, spanning firmware, hardware, operating systems, and cloud-connected security solutions, helping build the trusted security foundations of next-generation devices. You will collaborate with silicon partners, security experts, and engineering teams across us to deliver innovative, end-to-end security capabilities.


Responsibilities

Partner with product, system, cloud, firmware, hardware, and security engineering teams to design and deliver innovative security solutions.

Contribute to and lead the design, implementation, integration, testing, and delivery of core security features spanning firmware, operating systems, endpoint software, and cloud-connected services.

Develop and integrate secure, reliable, scalable, and maintainable software and services using industry best practices and our high security and engineering standards.

Apply secure engineering practices, including threat modeling, secure design reviews, code reviews, mitigation planning, vulnerability response, and security validation.

Define technical requirements, architecture, dependencies, engineering priorities, and delivery plans in a complex cross-team environment.

Work closely with hardware, firmware, operating system, Windows internals, cloud, and security engineers to characterize solutions, define interfaces, and optimize security, reliability, and performance.

Drive features from inception through production, including quality, observability, deployment, monitoring, incident readiness, and continuous improvement.

Leverage advanced AI capabilities to accelerate engineering workflows and build AI-powered tools and agents that improve team productivity and product quality.

Continuously learn emerging security technologies and attack techniques, share knowledge with the team, and mentor peers as your experience grows.
דרישות:
Bachelors degree or higher in Computer Science, Software Engineering, Electrical Engineering, or equivalent practical experience.

Professional software development experience in Rust, C, C++, or another embedded systems programming language, with a solid foundation in computer science.

Experience in the security domain, such as operating-system security, identity, secure coding, cryptography, security protocols, secure boot, hardware-backed security, or threat mitigation.

Preferred Qualifications:

Knowledge of networking and security protocols, authentication and authorization, certificate-based authentication, secrets management, and Zero Trust architectures.

Knowledge of Windows internals or modern operating system internals, including processes, memory management, services, networking, virtualization, and security boundaries.

Experience developing, monitoring, managing, provisioning, or securing applications and services in Windows environments.

Understanding embedded software architecture, firmware, CPU architecture, and real-time operating systems (RTOS).

Experience with Microsoft Azure Virtual Desktop, Microsoft Intune, Microsoft Entra, endpoint management, or secure remote access technologies.

Experience with platform security technologies, including firmware security, TPMs, HSMs, Secure Boot, device attestation, trusted execution environments (TEE), measured boot, DRTM, and hardware-backed roots of trust.

Cybersecurity coursework, projects, research, product-development experience, or security-focused open-source contributions; offensive security or security researc המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Herzliya
Job Type: Full Time
We are looking for an ambitious, highly capable Full-Stack Software Engineer who leverages cutting-edge AI tools to multiply their productivity and own cloud features completely end-to-end, from initial design and architecture down to deployment, testing, and production support.

Were looking for cutting edge smart & capable engineers who can harness AI and can lead sophisticated projects from the requirement and design phases down to implementation, test and production delivery.

Key Responsibilities

End-to-End Feature Ownership: Own cloud features complete end-to-end, including backend services, frontend user interfaces, database schema design, automated testing, CI/CD deployment, and post-release support.
AI-Accelerated Development: Efficiently utilize advanced AI coding assistants and AI-driven workflows (e.g., Claude Code, Cursor, LLM-driven test generation) to design, code, debug, and deliver robust software at high velocity.
Frontend & Backend Engineering: Build and maintain scalable APIs and responsive, intuitive user interfaces (React, Go / Node.js).
Database & Infrastructure: Work with SQL/NoSQL databases and public cloud provider services to ensure high availability and optimal performance.
Quality & Automated Testing: Design, write, and execute comprehensive test suites (unit, integration, and E2E) to keep software stable and functional.
Production Support & Reliability: Participate in monitoring, troubleshooting, and supporting your delivered features in cloud environments.
Product & UX Collaboration: Work closely with Product and UX teams to rapidly turn concepts into seamless, user-friendly customer experiences.
Requirements:
Requirements
AI Tools Proficiency: Hands-on experience and comfort using AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate coding, debugging, refactoring, and test creation.
Full-Stack Familiarity: Strong practical experience in both frontend (e.g., React, JavaScript/TypeScript) and backend development (e.g., Go, Node.js, Python, or Java).
Cloud & Databases: Familiarity with at least one major public cloud platform (AWS, GCP, or Azure) and relational/NoSQL databases.
Communication: Excellent written and verbal English communication skills; ability to document solutions and collaborate effectively.
Ownership Mindset: Strong problem-solving ability and an autonomous drive to research, troubleshoot, and see tasks through to production.

Nice to Have / Advantages
Familiarity with distributed systems, NoSQL databases, or Database-as-a-Service (DBaaS) architecture.
Experience with Linux environments, containerization (Docker/Kubernetes), and modern CI/CD pipelines.
Demonstrated history of building and shipping end-to-end personal projects or open-source contributions using AI-first workflows.
This position is open to all candidates.
 
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30/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
we empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. As an AI system architect, you will design and build the AI infrastructure that powers Infinidat's internal engineering and data platforms. Working alongside our AI platform lead, you will architect the Full Stack - from air -gapped LLM inference clusters and RAG pipelines to the chatbot front door and MCP/Skills ecosystem that put these capabilities in the hands of R&D teams. This is a hands-on role for someone who thrives at the intersection of systems engineering, data infrastructure, and applied AI.
Responsibilities:
* Architect the Infinidat AI offering roadmap, in terms of HW, SW and AIOps
* Design the future products of Infinidat to maximize the AI offering in terms of performance, cost and power
* Architect and design on-premises LLM inference infrastructure, including multi-model serving on GPUs, high-core-count servers, systemd-managed services, context/throughput tuning, and network isolation for air-gapped deployments
* Design and extend Retrieval-Augmented Generation (RAG) pipelines - document parsing, chunking, embedding, governance definition, and hybrid vector Storage - for both document and source-code collections
* Build and maintain the internal AI platform architecture, including the chatbot front-door layer, model routing, an MCP/Skills marketplace, and data -sanitization boundaries between on-prem and cloud
* Develop internal Developer tooling and agentic coding workflows, integrating local model endpoints with editor and CLI-based coding assistants - Contribute to hardware evaluation and reliability modeling for server and Storage platforms, informing infrastructure decisions with quantitative analysis
* Establish operational discipline around security, reproducibility, and maintainability - favoring durable architectural solutions over per-case patches
Requirements:
*  system -level, end-to-end architecture view of the technical requirements and trade-offs
* Ability to lead and interact with cross-functional teams in Product, R&D, OPS, SV&V
* Deep hands-on experience with LLMs, agents, MCPs and the architecture of deploying a production-worthy AI system
*  Linux systems engineering expertise
* Familiarity with enterprise Storage and server hardware
* Proficiency in Python and experience building data pipelines, internal tooling, and service integrations
* Working knowledge of data science and analytics tooling ( ETL, data warehouses, BI platforms)
* A precise, measurement-first working style with the ability to analyze, and clearly present, complex architectures and concepts
* An autodidact with strong communication skills About Infinidat Infinidats enterprise Storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary Storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidats acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined Storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI Storage solutions! Not only did Infinidat win over 40 awards in 2025, but was named a Gartner Peer Insights Voice of the Customer Award for Primary Storage for the 7th time!
This position is open to all candidates.
 
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24/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
The Support Development Team builds and maintains internal applications that help Support Engineers work more effectively - automating repetitive tasks, streamlining workflows, and translating operational challenges into scalable technical solutions. As a Software Engineer on this team, you will own tools end-to-end, working closely with Support teams to understand their needs and deliver impactful solutions. The team's primary language is Python, with Go used on selected projects, Kubernetes-based infrastructure, and occasional frontend work in NextJS.

Responsibilities:

* Develop and maintain Python-based tools that enhance the efficiency and workflow of Support Engineers
* Work directly with Support Engineers to understand their challenges and translate them into actionable technical solutions
* Identify and integrate improvements into the existing tool ecosystem, continuously seeking modernization opportunities
* Troubleshoot tool-related issues and ensure minimal downtime for internal users
* Write and maintain clear documentation to support scalability, onboarding, and knowledge sharing
* Explore emerging technologies and propose innovative approaches to improve team solutions
* Contribute to Go-based projects and work within Kubernetes-based infrastructure as part of ongoing modernization
Requirements:
* 3+ years of hands-on Python development with a strong understanding of best practices and software design principles
* Experience with a Python web framework - Django, Flask or FastAPI
* Strong fundamentals with the ability to read, debug, and pick up unfamiliar languages and codebases independently
* Comfortable working in Linux environments, including shell scripting, system operations, and troubleshooting
* Strong analytical, problem-solving, and organizational skills
* Clear communication and collaboration skills - this role works closely with non-technical stakeholders
* Hands-on experience with AI-assisted development tools (Claude Code, Copilot, Cursor, or similar) Preferred Qualifications
* Experience with Go, or a strong interest in picking it up
* Hands-on familiarity with Kubernetes - deployments, services, and troubleshooting (EKS experience a plus)
* Familiarity with frontend development frameworks, specifically NextJS or other React based frameworks
* Cloud environment experience, with AWS being a strong advantage
* Knowledge of system-level topics such as storage and networking
About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025 , but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!
This position is open to all candidates.
 
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03/09/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for an experienced and highly capable Lead Software Engineer to help drive the next generation of an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a highly technical, hands-on role for an engineer who enjoys solving complex software challenges while also influencing architecture, technology decisions, and engineering best practices.

This role is intended for a highly technical engineer who enjoys remaining deeply involved in software development while helping shape architecture and technical direction.

You will play a key role in shaping the evolution of a platform that collects and processes industrial data, integrates with manufacturing systems, leverages AI technologies, and delivers actionable insights and optimization capabilities in near real-time.

This is not a people-management role. The position combines significant hands-on software development with technical leadership, architectural ownership, and close collaboration with engineering, DevOps, and AI teams.

Job Responsibilities
Design, develop, and maintain core components of a modern Industrial AI platform.
Write production-quality code and take an active hands-on role in the implementation of critical software components.
Lead the development of complex features and technical solutions from design through delivery.
Contribute to the architecture and technical direction of software products across the organization.
Drive architecture discussions, design reviews, and technology evaluations.
Design scalable, reliable, and maintainable software solutions.
Collaborate closely with AI and Data Science teams to enable seamless integration of AI capabilities into software products.
Work with Edge and Cloud technologies to support distributed industrial systems.
Provide technical leadership, mentorship, and guidance to development teams through active involvement in design and implementation.
Partner with DevOps teams to ensure smooth deployment processes, operational excellence, and platform scalability.
Help evolve multiple products toward a unified and scalable platform architecture.
Contribute to software engineering standards, best practices, code quality, and technical excellence across the organization.
Requirements:
B.Sc. / M.Sc. in Computer Science, Software Engineering, or a related technical discipline.
Strong experience in software engineering and technical leadership roles.
Proven experience designing and developing complex software systems.
Significant hands-on development experience with Python.
Strong understanding of software architecture, distributed systems, and scalable application design.
Experience working with AWS cloud services.
Strong experience with Docker and containerized applications.
Experience working with Edge-to-Cloud architectures.
Experience with industrial connectivity and industrial systems.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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19/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Required Senior System Architect
As a Senior System Architect, you will:
Define and maintain the overall system architecture, ensuring scalability, reliability, security, performance and regulatory compliance
Develop long-term architectural roadmaps aligned with business objectives and regulatory requirements
Design scalable, resilient and highly available systems for data ingestion, processing, storage and presentation
Establish architecture standards, reference architectures, design patterns and technology selection guidelines
Evaluate new technologies and architectural approaches to improve system performance, maintainability and operational efficiency
Work closely with engineering, research, security and product teams to map solution requirements.
Requirements:
Bachelors degree in Computer Science, Computer Engineering, Information Systems or a related field
10+ years of software engineering experience
3+ years in a system or solution architecture role
Proven experience designing and implementing distributed systems
Experience with on-premises infrastructure
Deep knowledge of networking, storage systems, virtualization and system integration
Experience designing systems that process and protect sensitive or regulated data
Strong understanding of authentication, authorization, encryption, auditing and security architecture principles
Demonstrated ability to communicate complex technical concepts to both technical and non-technical stakeholders
Strong knowledge of system scalability, security and performance optimization
Ability to work across multiple teams and lead without direct authority
Excellent communication and documentation skills
It would be great if you also have:
Experience with cyber (defensive or offensive) systems
Managerial experience
Experience in adding LLM capabilities to an existing architecture.
This position is open to all candidates.
 
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26/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.
Requirements:
M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related quantitative field.
7+ years of hands-on experience building and deploying ML/AI solutions in production, including 2+ years leading or growing a data science/ML team.
Proven experience designing and shipping GenAI-based product features and multi-agent systems using modern orchestration frameworks such as LangGraph, CrewAI, or AutoGen, including RAG, vector databases, and tool/function calling.
Practical experience with the agentic production stack: observability/eval tooling (e.g., Langfuse), durable workflow orchestration, and typed service design.
Strong foundation in classical machine learning - supervised/unsupervised methods, feature engineering, model evaluation - and sound judgment for when to use classical models over LLMs.
Advantage: Demonstrated experience fine-tuning and deploying small/large language models, including SFT and preference/RL-based methods such as GRPO or DPO.
Advantage: Experience with model optimization and efficient serving: quantization, pruning, LoRA/QLoRA, and high-throughput inference frameworks such as vLLM.
Advantage: Experience designing end-to-end ML pipelines (versioning, training/tuning, deployment, testing, monitoring) on cloud-native infrastructure (Kubernetes, GCP/AWS).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8798737
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