לוח משרות דרושים בפתח תקווה

Requirements:
To be successful in this role you have:
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
5+ years of experience with quality assurance and Java programming with Selenium, JUnit and TestNG.
Fluency with scripting in JavaScript. Experience with Eclipse, Jenkin, Maven, and Git.
Understanding of testing techniques (e.g. performance, unit, integration, automated), their strengths and weakness, and ability to use them to best effect.
Ability to use tools (such as IDE, debugger, build tools, source control, our instances, profilers, system administration/Unix tools) to assist with daily tasks.
Experience driving cross-team technical discussions with an understanding of SDLC concepts.

Requirements:
To succeed in this role, youll need:
A Masters degree or PhD in Computer Science, or a related technical field, with a specialisation in Security or AI/ML.
7 years of experience with security assessments, design reviews or threat modelling.
7 years of experience in security engineering, computer and network security and security protocols.
7  years of programming experience in Java or Python,
Hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph).
Familiarity with authentication/authorization protocols (e.g., OAuth 2.0, OIDC, PKCE, API Keys) and agentic protocols (e.g. MCP, A2A)
A proactive and collaborative mindset, with a passion for continuous learning and a drive to solve complex challenges as part of a team.
(Bonus) Expertise in AI/ML security, including model and infrastructure vulnerabilities and their mitigation strategies.
(Strong Bonus) Deep understanding of Large Language Models (LLMs), Multimodal Language Models (MLLMs), and agentic workflows.
(Strong Bonus) Experience developing or evaluating security controls for agentic AI systems, including identity and consent models for multi-party protocols (e.g., MCP, A2A).
(Strong Bonus) Proficiency in implementing secure communication protocols for agent-to-agent interactions, such as OAuth 2.0, API keys, and PKCE.
(Bonus) A track record of contributions to the security and AI/ML communities, such as publications in top-tier venues, conference presentations, CVEs, or significant open-source projects.

Requirements:
To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI's potential impact on the function or industry.

3-5 years experience in industry, working in a data related role where more than 50% of time spent actively working in data 

Strong Data Literacy: Deep understanding of data, including data extraction, normalization, preprocessing, and evaluation as well as event streaming and data pipelines. Industry experience of working with big data technologies and ELT.

Technical Proficiency: Proficiency in Python, SQL and JavaScript is essential, as the role involves creating datasets, mapping and adjusting code, migrating proof of concept code (Python) into production (JavaScript) as well as performing exploratory data analysis (EDA). 

Preference for someone who has either of below:

a BSc or BEng in Computer Science or Software Engineering and a Masters in AI or Data related.

AI major in their Bachelors degree and additional learning in Data or AI - could be certified or college.

The role requires being in the office a minimum of two days per week and working with teams across different regions.

Requirements:
To be successful in this role you have:
4+ years of professional software development experience, emphasizing backend engineering.
Deep expertise in Java, including algorithms, data structures, object-oriented design, and performance optimization.
Strong knowledge of RESTful API design, microservices architectures, and database concepts (SQL/NoSQL).
Experience in developing and maintaining secure, scalable backend systems and services.

Preferred Qualifications:
Experience developing security or AI security products, including exposure to ML model security, adversarial attacks, and vulnerability assessment frameworks.
Practical experience integrating AI/ML technologies and APIs into backend systems.
Hands-on experience with cloud environments (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Familiarity with industry-standard security frameworks and best practices relevant to AI and data security (e.g., OWASP LLM Top 10).

Requirements:
To be successful in this role, you have:
8+ years of experience in security research, AI/ML research, data science, or related fields, specifically with experience securing AI systems.
Advanced expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face, spaCy).
Demonstrated success in identifying and mitigating security vulnerabilities in AI systems, particularly involving large language models (LLMs) and agentic architectures.
Proven experience developing and validating robust AI security evaluation frameworks and benchmarks.
Strong proficiency in Python, with significant experience in data-driven security assessments.
Excellent communication and collaboration skills, able to clearly articulate complex findings to technical teams, leadership, and external partners

Preferred Qualifications:
Previous experience leading research teams or cross-functional projects in corporate or academic environments.
Published research or contributions to standards in AI security, safety, or responsible AI practices.
Familiarity with OWASP LLM Top 10 and experience addressing vulnerabilities such as prompt injection, data poisoning, and adversarial attacks.
Advanced degree (PhD or MS) in Computer Science, Data Science, Cybersecurity, or a related field.

Requirements:
To be successful in this role, you have:
A B.Sc degree or M.Sc in Computer Science, or a related technical field, with a specialization in Security or AI/ML.
4 years of experience with security assessments, design reviews or threat modeling.
4 years of experience in security engineering, computer and network security and security protocols.
5  years of programming experience in Java or Python,
Hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph).
A proactive and collaborative mindset, with a passion for continuous learning and a drive to solve complex challenges as part of a team.
(Bonus) Expertise in AI/ML security, including model and infrastructure vulnerabilities and their mitigation strategies.
(Strong Bonus) Deep understanding of Large Language Models (LLMs), Multimodal Language Models (MLLMs), and agentic workflows
(Strong Bonus) Experience developing or evaluating security controls for agentic AI systems, including identity and consent models for multi-party protocols (e.g., MCP, A2A).
(Strong Bonus) Proficiency in implementing secure communication protocols for agent-to-agent interactions, such as OAuth 2.0, API keys, and PKCE.

Requirements:
To be successful in this role you have:
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
5+ years of experience with quality assurance and Java programming with Selenium, JUnit and TestNG.
Fluency with scripting in JavaScript. Experience with Eclipse, Jenkin, Maven, and Git.
Understanding of testing techniques (e.g. performance, unit, integration, automated), their strengths and weakness, and ability to use them to best effect.
Ability to use tools (such as IDE, debugger, build tools, source control, our instances, profilers, system administration/Unix tools) to assist with daily tasks.
Experience driving cross-team technical discussions with an understanding of SDLC concepts.