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Requirements:
* BS. C in Computer Science / Computer Engineering.
* At least 3 years of development experience in a development team of complex enterprise systems.
* At least 2 years of experience in C / C ++ programming.
* Experience in multi-threading principles and programming.
* Experience in Python and Git.
* Great team player who knows when and how to push independently when needed.
* Strong communication skills.
Advantages:
* Experience in native mobile application development in Android or IOS.
* Experience Objective- C programming
* Experience in NDK and JNI for Android.
* Experience in reverse engineering in Android.
* Knowledge in Cyber security and Networking.
Talent We Are Looking For:
Independent & Self-Driven - Comfortable owning a domain with high-impact decisions. Analytical - Passionate about accuracy, performance, and outsmarting adversaries. Curious - Self-driven learner eager to explore new fraud vectors and defense techniques independently. Adaptable - Thrives where the challenges are constantly changing. About the company mission is to protect every mobile app in the world and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid, no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration-as-code ease, Threat-Events threat-aware UI / UX controls, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With us, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use us to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today,  customers use our platform to secure over 50,000+ mobile apps, with protection for over 3 billion mobile end users projected. We are an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
3-4 years of experience in security engineering, security operations, or cloud security roles.
Strong experience managing security tools across data, cloud, and identity domains.
Solid knowledge of cloud platforms (GCP/AWS) with experience securing cloud-native workloads.
Ability to lead technical evaluations and risk assessments of tools or platforms.
Understanding of access management, data loss prevention, and identity security models.
Strong written and verbal communication skills in English.

Requirements:
BSc, MSc, or PhD in Computer Science, Software Engineering, or a related field
Strong software engineering skills with experience designing maintainable, modular systems
Hands-on experience working with ML models and evaluation pipelines
Proficiency in Python and modern ML ecosystems
Ability to read, modify, and debug deep learning models
Experience with benchmarks, metrics, or evaluation frameworks - preferred
Familiarity with foundation models or multimodal learning - preferred
Comfort navigating complex datasets and doing targeted exploratory analysis
Experience in biomedical or other data-intensive domains - a plus

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

Requirements:
7+ years of experience in product management roles, with extensive experience delivering a successful product.
Extensive experience in building, scaling, and managing AI model products, with a strong track record of collaborating closely with data scientists and deep learning researchers - a must.
Experience leading an AI foundation model product - a big plus.
Exceptional ability to operate effectively at both the high level strategic and roadmap level, as well as at the detailed, hands on level in a highly technical space.
BSc or higher degree in a technical or scientific discipline.
Exceptional written and verbal communication skills to technical and non-technical audiences.
Any experience or expertise in life sciences is a plus.

Requirements:
Strong data science/computational/statistics background - deep understanding of and experience working with complex data
Strong ML/AI background with experience translating AI research into production and building robust systems
2+ years of successful technical leadership and management experience
Experience with LLM APIs (e.g., OpenAI, Anthropic) and agentic AI frameworks (e.g., LangGraph, LangChain, MCP) - preferred

Requirements:
Strong foundation in data science / ML and comfortable writing production-quality code.
Proven experience delivering ML/AI projects from research to production independently.
Pragmatic problem solver with solid engineering practices (testing, code reviews, reproducibility).
Eager to learn, conduct research, and stay at the cutting edge of GenAI.
Excellent communicator and collaborator.
Nice to have:
Experience in finance or numerical systems, or familiarity with LLM/GenAI workflows.
Advanced degree, publications, or open-source contributions.