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02/03/2026
Location: Ramat Gan
Job Type: Full Time
Alice is seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others. Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs. Responsibilities
* Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models.
* Managing projects end-to-end, from initial planning and oversight through quality assurance to final delivery.
* Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
* Ongoing investigation into new tactics for circumventing foundational models' safety measures.
* Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolutions.
* Promoting a culture of knowledge exchange and continual learning within the team.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.
Requirements:
Must have:
* Background in AI Safety and/or Responsible AI and/or AI Ethics
* Familiarity with recent Generative AI models and agents is essential, though direct technical experience is not a prerequisite.
* Command of English at a near-native level.
* Attention to detail, organizational capabilities, and the capacity to juggle numerous tasks concurrently. Additional Wants:
* Experience with Webint / OSINT.
* Experience with various model types (Text-to-Text, Text-to-Image) is desirable.
* A self-starter attitude, with the energy to excel in a fast-moving and variable environment.
* Ability to work independently and in a team environment.
This position is open to all candidates.
 
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01/03/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for a Senior AI/ML Architect to help shape how our customers implement AI. In this role, youll design scalable, end-to-end ML solutions, from classical models to generative AI, and guide customers from concept to production. Youll work closely with C-level leaders, data scientists, and engineers to deliver impactful, real-world AI outcomes.
📍 Work location - hybrid from Tel Aviv
If you are interested in this opportunity, please submit your CV in English.
Responsibilities
Design and deliver end-to-end ML solutions, including classical ML, deep learning, and generative AI
Create technical proposals, reference architectures, and deployment plans
Lead workshops, POCs, and architecture reviews with startup customers
Translate business needs into scalable ML systems
Implement distributed training workflows and LLM serving infrastructure
Build MLOps pipelines for tracking, versioning, and monitoring
Provide technical guidance to customers and internal teams
Stay up to date on ML trends and contribute to internal enablement
Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).
Requirements:
7+ years in software engineering, data science, or ML roles
3+ years deploying ML solutions in production
Hands-on experience with AWS ML services (SageMaker, Bedrock, etc.)
Experience with distributed training (Horovod, Ray, etc.)
Proven work with generative AI and LLM applications
Strong Python and ML framework skills (PyTorch, TensorFlow, etc.)
Experience with MLOps practices and tools
Strong communication and customer-facing skills
Familiarity with Docker, Kubernetes, and Terraform - an advantage
AWS ML Specialty or Solutions Architect certification - an advantage
Experience with vector DBs, RAG systems, or edge ML - an advantage
Masters degree in a relevant field - an advantage
Industry-specific experience (finance, healthcare, etc.) - an advantage
This position is open to all candidates.
 
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01/03/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were looking for an Sr Solutions Architect responsible for advising on Generative AI, core services and also to provide technical pre-sales guidance to strategic customers while building long-term relationships, identifying pain points, and addressing them.
📍 Work location - hybrid from Tel-Aviv
Responsibilities:
Strategic Advisory: Act as a technical and strategic advisor in the field to provide architectural guidance in the GenAI space and recommendations necessary to promote & help customers overcome technical challenges and scale securely on AWS.
Pre-Sales Architecture: Serve as a pre-sales Solutions Architect to guide customers on best practices and ensure cost optimization.
Relationship Management: Build strong connections with internal and external stakeholders, from technical teams to senior executives.
Business Growth: Collaborate with Account Executives to drive service adoption and ensure success in the long term.
Travels: locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).
Requirements:
5+ years of working experience as a Solutions Architect, DevOps, Cloud Architect, or Prototype Architect.
Experience with deploying and integrating GenAI models and applications on cloud infrastructure.
Ability to influence and engage strategic stakeholders effectively on pertinent technical matters.
Hands-on experience with an AWS environment
Experience in customer-facing roles, preferably with startups
Excellent written and verbal communication skills in both English and Hebrew
Strong organisational skills and attention to detail
Ability to effectively communicate technical design in verbal and written formats in front of customers (Project documentation and architecture diagrams)
Excellent interpersonal, critical thinking, and problem-solving skills
Share best practices and promote collaboration within the SA team
Good to have/ Advantage:
Relevant AWS certification(s): GenAI Developer Pro, ML Specialty, Generative AI Practitioner, ML Engineer
Familiarity with Infrastructure as Code tools and frameworks (Terraform, CDK, Pulumi)
Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX, or MXNet.
Knowledge of MLOps tools and workflows for model development, validation, and deployment.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
This is a role for someone who wants to shape the fundamentals of our platform, both technically and strategically. Youll lead the design of scalable GenAI systems and connectivity to other platforms and tools, define effective AI best practices, mentor engineers, and influence how AI is built across the company all while staying deeply hands-on.

Its about ownership and impact: building, leading, and shaping impact end-to-end.
What You'll Do:
Lead the architecture and implementation of scalable GenAI solutions.
Define and enforce AI best practices: evaluation, privacy, responsible AI, and performance.
Drive AI strategy across teams and products.
Read, interpret, and apply cutting-edge AI research.
Design infrastructure that enables AI at scale-from zero-to-one to production.
Mentor engineers and grow technical leadership across the organization.
Requirements:
7+ years of software engineering experience, with a strong AI/ML focus.
Proven experience designing and shipping GenAI systems to production.
Deep expertise in LLMs, agents, orchestration, and RAG pipelines.
Strong backend and cloud architecture skills (AWS preferred).
Ability to communicate complex AI concepts to both technical and non-technical stakeholders.
Aspiration for technical leadership today, with potential for broader management tomorrow.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Technical teams are overwhelmed by manual, repetitive tasks, fragmented tools, and rapidly growing data. These challenges increase errors, slow decision-making, and prevent teams from focusing on strategic initiatives.
What You'll Do:
Build and deploy clusters of AI agents that tackle multiple use cases across the IT domain.
Work hands-on with LLMs-installing, running, and fine-tuning models. We are not just calling APIs.
Build backend services for data ingestion, AI pipelines, and integrations.
Integrate open-source AI modules directly: read, tweak, and ship.
Operate in AWS (Lambdas, APIs, infrastructure) to power AI-driven features.
Collaborate directly with customers-strong English communication is essential.
Requirements:
5+ years of backend/software engineering experience with an AI-first and builder mindset and microservices architecture.
Practical experience building GenAI agents, beyond demos.
Strong Python skills (but this role is not just Python).
Familiarity with LLMs, prompting, and orchestration frameworks.
Startup mindset: shipped to production, owned systems end-to-end.
Comfortable reading docs, research papers, and experimenting independently.
Excited to adopt new development workflows and tools.
This position is open to all candidates.
 
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26/02/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
our company, a software development company specializing in sophisticated e-commerce solutions, is looking for a motivated, talented, and skilled AI Officer. Our clients include leading brands such as McDonald's, Azrieli, Aroma Israel, Shlomo Group, Meshulam, Htzone, NewDeli, and more. This is a unique opportunity to showcase your talent, work with advanced technologies, collaborate with amazing colleagues, and support major customers.
Responsibilities:

* Monitor AI tools usage across the organization on an ongoing basis
* Ensure compliance with internal policies, procedures, and applicable AI regulations
* Review and approve requests for AI tool usage according to defined criteria
* Identify deviations, risks, and compliance gaps, and recommend corrective actions
Requirements:
*  Experience at Network Administrator or similar role
* Familiarity with AI tools and their applications
* Strong attention to detail and ability to follow strict procedures
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Merkaz
Job Type: Full Time
Youll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At our company, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what our company has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
we are looking for a Computer Vision & Deep Learning Algorithm Developer to join us in research and development of our advanced sports video content understanding engines. If you are passionate about researching state-of-the-art solutions and have a keen eye for simple yet smart solutions - we are looking for you!
What youll do:
Research and develop comprehensive real-time solutions for understanding sports content, utilizing cutting-edge deep learning algorithms for video, audio, and multimodal data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
Requirements:
MSc or Ph.D. in Computer Science, Electrical Engineering, or related field with a focus on AI/Computer Vision/ML.
Strong background, with 4+ years of industry experience in Computer VIsion Deep Learning algorithms.
Experience in Python programming - Must.
Strong analytical and problem-solving skills.
Excellent self-learning abilities.
This position is open to all candidates.
 
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Location: Merkaz
Job Type: Full Time
We are seeking a passionate Generative AI Builder to join our Engineering team and work directly with our development teams to accelerate the adoption of GenAI tools and establish best practices. Reporting to the VP R&D you will be embedded within our development organization to drive hands-on implementation, create effective workflows, and empower developers to leverage cutting-edge AI capabilities in their daily work.
What youll do:
Direct Developer Support & Enablement
Work side-by-side with development teams to implement and optimize GenAI tools in real-world projects
Provide hands-on guidance for integrating AI coding assistants, code generation tools, and automation workflows
Troubleshoot implementation challenges and help teams overcome adoption barriers
Tool Implementation & Workflow Design
Evaluate and pilot new GenAI development tools across different technology stacks
Design and document standardized workflows for common development tasks using AI assistance
Create custom integrations and configurations tailored to our specific development environment
Process Development & Optimization
Establish GenAI coding standards, guidelines, and quality assurance processes
Design efficient workflows that maximize developer productivity while maintaining code quality
Develop feedback mechanisms to improve AI-assisted development practices continuously
Training & Knowledge Transfer
Conduct hands-on workshops and training sessions on GenAI tools and techniques
Create practical tutorials, code examples, and documentation for immediate developer use
Mentor development teams on advanced prompt engineering and AI-assisted coding strategies
Innovation & Experimentation
Stay current with emerging GenAI tools and evaluate their potential impact on development workflows
Run proof-of-concept projects to test new AI capabilities and use cases
Share insights and learnings with the broader engineering organization.
Requirements:
Extensive hands-on experience with AI coding assistants (GitHub Copilot, Cursor AI, etc.)
Proficiency with conversational AI tools for development (ChatGPT, Claude, Gemini)
Understanding of prompt engineering and code generation best practices
5+ years of software development experience with multi-language coding skills
Strong knowledge of SDLC, CI/CD pipelines, and modern development practices
Proven ability to work effectively within development teams
Can drive adoption without formal authority
Developer advocate or technical evangelist experience
Internal tools/automation development experience
AI/ML fundamentals knowledge
API integration and custom AI tool building experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Machine Learning Engineer II - GenAI Applications
26947
About the team:
This opening is for the GenAI Applications Team within the Data & AI Marketplace department.
The GenAI Applications team is responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and trip helpfulness. The team builds AI-driven applications and conversational agents, such as chatbots and intelligent assistants, that significantly enhance the end-to-end customer experience.
Role Description:
As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, chatbots, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
Requirements:
We are looking for driven MLEs who enjoy solving problems, who initiate solutions and discussions and who believe that any challenge can be scaled with the right mindset and tools.
We have found that people who match the following requirements are the ones who fit us best:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.
Minimum of 4 years of experience as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
Strong programming skills in languages such as Python and Java.
Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.
Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.
Experience with data at scale using MySQL, Pyspark, Snowflake and similar frameworks.
Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.
Deep understanding of machine learning algorithms, statistical models, and data structures.
Experience in deploying large-scale language models like GPT, BERT, or similar architectures - an advantage.
Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required Machine Learning Scientist II - GenAI Evaluation
20717
Role Description:
As a Machine Learning Scientist, your work will focus on the evaluation and optimization of generative AI systems. You will develop and fine-tune Judge LLMs to assess model outputs across a variety of tasks, design robust evaluation frameworks for agentic workflows, and build scalable pipelines for synthetic data generation. The team also plays a critical role in multilingual evaluation, enabling GenAI applications to support market expansion across all supported languages.
Key Job Responsibilities and Duties:
Develop and apply state-of-the-art techniques for evaluating generative AI systems, with a focus on agent workflows, multilingual output, and task-specific Judge LLMs.
Design and implement scalable evaluation pipelines, including synthetic data generation and benchmarking for model quality, relevance, and consistency..
Optimize and maintain Judge LLMs to assess outputs across dialog systems, Q&A, and trip planning use cases.
Conduct in-depth data analysis to define and track evaluation metrics, validate label quality, and explore performance across different languages and user scenarios.
Ensure the reliability, efficiency, and scalability of evaluation tools and frameworks in both offline and online environments.
Collaborate closely with ML engineers to integrate evaluation components into production pipelines, supporting continuous improvement of GenAI applications.
Work cross-functionally with product, research, and analytics teams to align evaluation strategies with business goals and user impact.
Requirements:
Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and GenerativeAI models at scale.
Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.
Relevant work or academic experience (MSc + 4 years of working experience, or PhD + 2 years of working experience), involved in the application of Machine Learning to business problems.
Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).
Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).
Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.
Excellent English communication skills, both written and verbal.
Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8560097
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Location: Tel Aviv-Yafo
Job Type: Full Time
Required ERP and GenAI Tech Specialist
Realize your potential by joining the leading performance-driven advertising company!
As our ERP & GenAI Tech Specialist in the Tel Aviv office, youll be a key player in Taboolas Information Systems team, driving innovation across finance systems through technology and AI. Youll collaborate with global finance teams to understand their processes, identify optimization opportunities, and design scalable, GenAI-powered solutions. With your strong technical and analytical background, youll shape and maintain Taboolas Finance applications landscape while promoting automation and process excellence. This is a hands-on role for someone passionate about using technology to solve real business challenges and deliver measurable impact.
How youll make an impact:
Work closely with global finance users to understand their processes, challenges, and goals.
Become proficient with Taboolas global ecosystem of Finance ERP & FP&A (NetSuite is an advantage)
Design and develop custom solutions including GenAI powered solutions on NetSuite, Google platform and other business application platforms to meet finance requirements.
Integrate business applications, GenAI systems, APIs and third-party tools.
Collaborate with project managers, business analysts, and developers to ensure the successful delivery of projects.
Continuously learn and keep up-to-date with advancements in GenAI, tools and technologies.
Requirements:
3+ years of hands-on ERP experience with deep platform knowledge.
Strong understanding of systems architecture, integrations, and APIs (REST/SOAP).
GenAI enthusiast with experience in LLMs, prompt engineering, and MCPs.
Excellent problem-solving, analytical, and communication skills; able to work in global teams.
B.Sc in Computer Science, Engineering, Information Systems, or a related field.
Itll be great if you also have:
Development experience and SQL knowledge.
Familiarity with new-gen technologies and platforms.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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