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חברה חסויה
Location: Herzliya
Job Type: Full Time
Were hiring an AI Engineer for our AI Core team to build and scale AI across products and workflows, from agentic document understanding to multi-agent systems and ML solutions. This is a hands-on, cross-functional role where youll prototype quickly, build robust evaluations, and ship production-grade AI with measurable business impact.
What youll do:
Build and ship AI/ML solutions using LLMs, agents, retrieval patterns (RAG), and document understanding models, alongside classic ML (classification, ranking, time-series).
Prototype and iterate quickly: turn ideas into high-quality POCs, validate feasibility, and evolve them toward production.
Shape technical direction and evaluate models and approaches using clear benchmarks, metrics, and real-world impact measurement.
Research and apply emerging techniques, e.g., multimodal/document AI, agentic frameworks, synthetic data generation, and architectural approaches.
Partner closely with product, engineering, and domain experts to identify opportunities and deliver end-to-end solutions.
Help shape scalable, secure architecture and best practices for AI delivery.
Location: Herzliya | Hybrid work model
Requirements:
5+ years of hands-on experience in AI/ML engineering, or data science with strong engineering ownership.
Strong Python and solid software fundamentals with clean, well-tested, production-quality code.
Hands-on experience with GenAI/LLMs: prompt design, embeddings, fine-tuning and RAG patterns; experience building agents is a strong advantage.
Experience with core ML; NLP/CV/multimodal experience is a plus.
Familiarity with modern AI toolkits (e.g., LangChain, Hugging Face, PyTorch).
Cloud experience (AWS/GCP/Azure) and working with scalable data pipelines.
Strong communication and collaboration skills.
BS/MS/PhD degree in CS/Data Science/Engineering (MS/PhD a plus)
This position is open to all candidates.
 
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Location: More than one
Job Type: Full Time and Hybrid work
Build the future of AI-driven cybersecurity agents with a stealth-mode, well-funded ex- 8200 startup.

About Us
Were a VC-backed AI startup founded by ex- 8200 veterans, operating in stealth mode. Our mission: transform cybersecurity operations through intelligent, agentic AI that empowers security teams to act faster, smarter, and autonomously.

About the Role
As a Senior AI Engineer AI Cybersecurity, youll help shape our product and tech foundation. Youll design and optimize Python -based AI components, tackle complex AI-driven defense challenges, and collaborate with top engineers, researchers, and security experts. Youll influence architecture, workflows, and product direction from the ground up.
Requirements:
Requirements:

Strong expertise in Python.
Hands-on experience with AI frameworks or LLM-based solutions.
Passion for exploring new ideas, solutions, and technologies.
Team-oriented mindset with strong communication skills.


Advantages:

Cybersecurity knowledge or background in security-related projects.
Previous startup experience, comfortable with fast-paced and dynamic environments.


Ready to Join Us?

If youre a strong Python Developer with a passion for AI and innovation, wed love to meet you.
This position is open to all candidates.
 
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משרה בלעדית
לפני 6 שעות
מיקום המשרה: מספר מקומות
סוג משרה: משרה מלאה
פיתוח מקצה לקצה של מערכות מתקדמות מבוססות ML DL ו AI, החל משלבי האפיון ועד להעלאה לסביבת ייצור. העבודה תתבצע עם מודלים מתקדמים, תשתיות דאטה וארכיטקטורות סקיילביליות בסביבות ענן.

תחומי אחריות עיקריים:

- פיתוח והטמעת מודלים מבוססי ML DL ו AI.
- ניתוח נתונים מורכבים והסקת מסקנות עסקיות קריטיות
- יישום מודלים מתקדמים כגון Boosting, Random Forest, GLM, Regression, Clustering, PCA
- פיתוח והטמעת שירותים סביב LLMs, Data pipelines, APIs ותשתיות ליבה

מסגרת המשרה:

- משרה מלאה
- ימי ראשון- חמישי
- גמישות אפשרית בשעות (לא קיימת עבודה מרחוק)
- ישיבה במשרדי החברה - געש, הגעה עצמאית
- עבודה בצוות
- עבודה בכפיפות למנהלת מחלקה.
דרישות:
השכלה:
- תואר ראשון רלוונטי.

ניסיון מקצועי (חובה):

- 2+ שנות ניסיון בפיתוח פתרונות AI
- ניסיון עם LLM, כולל עבודה מול OpenAI וAzure OpenAI
- ניסיון בפיתוח Backend וAPI
- ניסיון בעבודה בסביבות ענן
- ניסיון ב-RAG וVector Databases

כישורים טכניים (חובה):
- יכולת אנליטית גבוהה וחשיבה יצירתית לפתרון בעיות עסקיות
- הבנה מעמיקה בעולמות ML, Deep Learning, AI, דאטה וSQL
- פיתוח ב-Python ושימוש בספריות Numpy, Pandas, Scikit-Learn, PyTorch
- ניהול prompting מתקדם: safety filters, guardrails, versioning וארכיטקטורה מותאמת לניסויים
- עבודה מול ספקי מודלים שונים, Caching, Fallbacks ואופטימיזציית עלות מול ביצועים
- ראייה תצפיתית (observability): לוגים, מטריקות, ודשבורדים
- ידע באבטחה: Authorization and Authentication
- ניסיון עם MCP, בניית Tools ועבודה עם מודלים מולטימודליים
- אנגלית ברמה גבוהה - חובה
* המשרה מיועדת לנשים ולגברים כאחד.
 
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משרה בלעדית
2 ימים
דרושים בדיאלוג
מיקום המשרה: מספר מקומות
סוג משרה: משרה מלאה
לחברת Startup העוסקת בתחום ה- Marketing דרוש/ה ML Researcher. הפלטפורמה מציעה פתרונות שיווק ומוכרת לידים חמים ללקוחות שלה מתוך מטרה לאפשר למפתחים להתמקד בפיתוח המוצר, תוך שהיא מטפלת בניהול התוכניות, עיצוב האתר והתוכנות.
דרישות:
תואר ראשון בלמידת מכונה (ML), סטטיסטיקה, מדעי המחשב או תחום רלוונטי
5+ שנות ניסיון כ data Scientist
ניסיון בעבודה עם מודלים של Machine Learning
ניסיון מעשי בניהול והובלת פרויקטים מקצה לקצה משלב המחקר ועד שלב העלייה לפרודקשן
יכולת מוכחת להפיק אות חיזוי (Predictive Signal) מנתונים מורכבים
ניסיון באימון מודלים על Big Data ובאופטימיזציה לזמני חיזוי (Inference Latency)
ניסיון בעבודה עם פלטפורמות ML מבוססות ענן וכלי MLOps
ניסיון בעבודה צמודה עם תהליכי data Engineering ו- data Pipelines המשרה מיועדת לנשים ולגברים כאחד.
 
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5 ימים
Location: Herzliya
Job Type: Full Time
We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role - you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.
What you'll do:
Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
Own end-to-end conversational journeys - from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
Build and maintain prompt evaluation pipelines - designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices - helping establish our standards for responsible, effective AI Agent deployment.
Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the teams workflow.
דרישות:
3-4+ years of hands-on experience working with Large Language Models (LLMs) - including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
English proficiency - Mandatory (native or near-native written English; this role is language-critical).
Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
Experience with AI Agent architectures and concepts - tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
Strong analytical skills - comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
Experience designing for multilingual and multicultural audiences.
Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
Familiarity with version control practices for prompt management and documentation.
Excellent stakeholder management - able to align multiple teams around conversational strategy and priorities.
Advantages:
Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
Knowledge of SQL or analytics/BI tools for performance analysis.
Background in customer service, contact center, or fintech environmen המשרה מיועדת לנשים ולגברים כאחד.
 
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5 ימים
Location: Herzliya
Job Type: Full Time and Hybrid work
We are looking for an AI Enablement Tech Lead to lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of the Analytics & AI Enablement group within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including chat with data, autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics.
Hybrid
Full-time
What youll do: 
Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption
Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks
Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use
Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions
Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance
Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community.
Requirements:
5+ years of experience in data roles (Analytics / BI / Data Modeling or similar)
Proven hands-on experience building and deploying AI solutions (GenAI, LLMs, agents, or ML systems)
Strong understanding of how data modeling and semantic layers support AI applications
Experience designing end-to-end AI workflows, including data preparation, orchestration, and production deployment
Familiarity with modern AI stack (LLMs, vector databases, embeddings, orchestration frameworks)
Experience taking AI initiatives from POC/MVP to scalable production systems
Strong problem-solving skills and ability to translate business needs into AI-driven solutions
Excellent collaboration skills, working across Data, Engineering, and AI teams
Comfortable operating in ambiguity and driving innovation in a fast-evolving space
Advantage: Experience building data solutions tailored for agent-based consumption (e.g., chat with your data use cases), including preparing structured, reliable, and accessible data layers for AI agents.
This position is open to all candidates.
 
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24/03/2026
Location: Herzliya
Job Type: Full Time
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.
Requirements:
Experience: 5+ years of experience in a backend, ML engineering, or MLOps role with a demonstrable track record of successfully deploying and maintaining code in high-volume production environments.
Programming Mastery: Strong proficiency in Python with a deep understanding of software engineering principles, design patterns, and debugging.
Applied ML/LLM Knowledge: Hands-on experience developing and fine-tuning models using frameworks like PyTorch, HF ecosystem and deepspeed, alongside practical experience with LLMs, prompt engineering, and vector databases.
Data & MLOps Infrastructure: Strong experience with Data/MLOps tools (e.g., MLflow, Airflow, DVC) and deployment technologies (CI/CD, Kubernetes, containerization).
Big Data & Cloud: Proficiency with big data platforms (like Databricks or PySpark) and a solid understanding of public cloud platform architectures.
Ownership: Exceptional problem-solving skills with the ability to take full ownership of complex tasks from the design phase through to full production implementation.
Advantages
Prior experience building cybersecurity, data protection, or enterprise threat detection products.
Familiarity with user behavior-based anomaly detection or metadata analytics.
Experience with advanced retrieval-augmented generation (RAG) frameworks.
This position is open to all candidates.
 
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06/04/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Design and execute research projects using advanced methodologies and tools to generate actionable insights that improve decision-making.
Analyze data and apply critical thinking to identify innovation opportunities and optimize research processes.
Prepare scientific reports and presentations to effectively communicate findings and recommendations to stakeholders.
Collaborate across teams and consult with experts, demonstrating adaptability, receptiveness to feedback.
Requirements:
M.Sc. in Computer Science or other relevant degrees.
Experience in data structures and algorithmic research and implementation roles in related fields
2-5 years of experience in using M/LLMs and agentic frameworks
Knowledge and experience in deep learning - NLP, computer vision, time series or standard ML
Fundamental knowledge of programming principles, substantial experience in Python and experience with MLOps practices (Git, Kubernetes, Docker, DVC - advantage)
Ability to work independently and within a team in a fast-moving environment.
Willingness to travel abroad (10%).
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.
Requirements:
What Makes You a Great Fit:
Minimum 6+ years of backend development experience - Must
Experience with Machine Learning - Must.
Strong expertise in Python for production systems - Must.
Proven experience in system architecture for distributed applications.
Hands-on experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Deep knowledge of Kafka (producers, consumers, partitioning, scaling).
Proficiency with MongoDB (schema design, indexing, aggregation).
Experience with OpenSearch/Elasticsearch (indexing, queries, performance tuning).
Solid understanding of containerization (Docker) and cloud deployment (Kubernetes or similar).
Nice-to-Have
Experience with Argo CD and GitOps workflows, and AirFlow.
Knowledge of ML lifecycle tools (MLflow, Kubeflow, TensorFlow Serving).
Observability stack: Prometheus, Grafana, OpenTelemetry.
Performance optimization and distributed systems troubleshooting.
Tech Stack
Backend: Node.js, Python, REST/GraphQL APIs
Data: MongoDB, Kafka, OpenSearch
Infra: Docker, Kubernetes, CI/CD pipelines
Bonus: Argo CD, Erlang/Elixir, ML deployment frameworks.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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05/04/2026
Location: Herzliya
Job Type: Full Time
We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.
Key responsibilities
Develop the AI driver model architecture and training algorithms to introduce and enhance the safety behaviors for L2/L3/L4
Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.
Requirements:
In order to set you up for success as a Machine Learning Engineer at our company, were looking for the following skills and experience.
Essential
Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration).
Proven Experience taking ML models into production, including working through real-world constraints and quality and safety requirements.
Desirable
Reinforcement learning experience (especially where it materially improved real-world performance).
Experience with end-to-end driving models and / or transformer networks
Automotive or OEM experience, or prior work that involved deploying ML into safety-critical systems.
Experience with a Pytorch lightning training infrastructure.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8600934
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חברה חסויה
Location: Herzliya
Job Type: Full Time and Hybrid work
We are looking for an experienced and dynamic Team Lead to manage a talented group of frontend & backend engineers, qa testers and devops. In this role, you will oversee the design , development and delivery of versions of our software to our biggest customer, ensuring that it meets the highest standards of quality and efficiency.
Additionally, you will collaborate closely with stakeholders in the customer team and within the organization, requiring strong communication and leadership skills.
Key Responsibilities:
Lead, mentor, and manage a hybrid team (Onshore & Offshore) of 10 engineers (frontend, backend, quality, devops), fostering a collaborative and high-performance culture.
Oversee our AI-first transformation in your team- moving all coders to do 100% vibe coding
Collaborate with product owners, QA, DevOps, and other team members to deliver high-quality software solutions within an Agile framework.
Ensure the teams not only develop features but also write comprehensive automation tests to validate and cover their work, ensuring high quality and stability.
Ensure designs and implementations align with technical specifications, industry standards, and best practices.
Promote continuous improvement by exploring and adopting new technologies and methodologies.
Provide support for customer and delivery teams in successfully implementing projects based on the platform.
Contribute to all phases of the development lifecycle, from design through deployment to maintenance.
Write well-structured, testable, and efficient code when needed.
Requirements:
Minimum of 5 years of experience managing and leading engineering teams.
Experience in working directly with customers
Recent experience from the past two years and willingness to a 50% or more Vibe Coding.
Strong leadership and interpersonal skills with a customer-focused mindset.
Experience working in Agile/Scrum development environments. Proven experience in server-side/enterprise application development. Ability to work effectively in a dynamic, fast-paced environment. Self-learner with a passion for staying up-to-date with new technologies
Advantage:
Extensive experience with Java 17/21 and the Spring framework. Proficiency with NoSQL databases such as MongoDB.
Solid understanding of clustering and microservices-based architectures. Familiarity with Docker and Kubernetes is an advantage.
Experience with monitoring and logging tools (e.g., Prometheus, Kibana, Grafana, Elasticsearch, Kiali) is a plus.
Proven ability to effectively communicate with offshore clients and stakeholders.
Excellent English communication skills, both written and spoken, with experience working directly with offshore clients
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8589797
סגור
שירות זה פתוח ללקוחות VIP בלבד