דרושים » הנדסה » Senior Systems Engineer, Artificial Intelligence Operations

Requirements:
2 + years as a leader of engineering or data science teams, with a track record of shipping data-intensive tools or services to production.
6 + years hands‑on building data-driven solutions with Python and SQL.
Experience deploying services using cloud-based infrastructure and data tools such as PostgreSQL, Databricks, and Spark.
Strong understanding of the key concepts and usage of modern AI tools such as LLMs, RAG systems, and AI agents.
Solid software engineering fundamentals (including design patterns, data structures, and version control) and familiarity with Agile practices.
Proven ability to manage project scope, timelines, and cross‑team dependencies.
Comfort implementing rapid, iterative development processes while also prioritizing quality, reliability, and maintainability.
Excellent command of English, both verbal and written, and comfortable presenting technical topics to non‑technical stakeholders.
Its even better if you have:
Proficiency with CI/CD tools and practices, containers, serverless architectures, and automated testing and monitoring.
Experience deploying models to production using leading machine learning frameworks such as TensorFlow or PyTorch.
Experience with Agile development processes and project management in JIRA.
Expertise in machine learning metrics and monitoring.
Experience with geospatial analysis, government data, survey research, or civic tech applications.
Demonstrated success hiring and developing technical talent.
Contributions to open‑source projects or an advanced degree in a relevant field.

Requirements:
B.S./M.S. degree in CS/CE or equivalent experience with 5+ years of relevant experience. Experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Experience working with engineering or academic research community supporting HPC or AI
Practical experience with high performance networking: Infiniband/RoCE/Ethernet networks, RDMA, topologies, congestion control
Expert in Linux fundamentals and a scripting language, preferably Python
Familiar with containers, cloud provisioning and scheduling tools (Docker, Docker Swarm, Kubernetes, SLURM, Ansible)
Adaptability and passion to learn new areas and tools
Flexibility to work and communicate effectively across different teams and timezones
Ways to stand out from the crowd:
Experience conducting performance benchmarking and developing infrastructure on HPC clusters. Prior system administration experience, esp for large clusters. Experience debugging network configuration issues in large scale deployments
Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow
Deep understanding of technology and passionate about what you do.

Requirements:
B.S. degree in Computer Science or related technical field (or equivalent experience)
10+ years in building and supporting critical services and 5+ years of coding/scripting experience in at least two high-level programming languages such as Python, Go, Ruby, or Groovy.
Proficiency in Kubernetes administration, modern CI/CD techniques and Infrastructure as Code (IaC).
Deep understanding of Linux operating systems and TCP/IP fundamentals.
Expertise with at least one major cloud service provider - AWS, GCP, Azure.
Demonstrated proficiency with end-to-end SRE capabilities and observability.
Proficient in monitoring, metrics gathering, APM, container management, and log collection tools.
Creative problem solver with excellent debugging skills and great communication and documentation abilities.
Ways to stand out from the crowd:
Linux certification from a well-known vendor - RedHat, Oracle, etc.
Prior experience managing large-scale Kubernetes deployment in production.
Strong skills in modern container networking and storage architecture.
Well-known Cloud Certification(s).
Hands-on experience working with Slurm/LSF environments.

Requirements:
7+ years of experience supporting office network infrastructure
5+ years of experience with Okta administration and configuring SAML, SSO, Automation, Provisioning, De-Provisioning of Accounts
5+ years of hands-on experience with Okta Workflows, Access Request designs, and orchestration tools
4+ years of experience with scripting languages such as C#, Python, Powershell, etc
4+ years of experience supporting Audio Visual Conferencing tools
4+ years of SaaS application administration and ownership of Enterprise IT applications and tools (example: Zendesk, Atlassian, Slack, Okta, Google, etc)
Must be able to work flexible hours and in an on-call rotation for off-hours support
Strong communication skills, written and verbal, in both Hebrew and English
Participates in daily syncs and asynchronous updates with global team members to align on priorities, urgent issues, and escalation needs.
Be able to perform all the tasks that we ask of the Service Desk technicians
Strong knowledge of PC/Mac operating systems, applications, networks, and hardware
Experience administering Zoom conferencing and a modernized user experience
A willingness and ability to develop expertise in new technologies as needed.
Ability to multitask and manage competing priorities in a fast-paced environment
Be self-motivated, self-directed, and customer service-focused
Strong communication skills, including presentation skills and the ability to tailor communications for the intended audience.
Availability to travel internationally when needed

Requirements:
- Bachelors degree in data Science, Computer Science, Computer Engineering, or related field. - 2+ years of experience in data Science roles. - Proven experience managing AI/ML project lifecycles from conception to deployment. - Deep understanding of classic ML, deep learning, and LLMs. - Strong proficiency in Python and experience with frameworks such as PyTorch, Scikit-Learn, and TensorFlow. - Hands-on experience with low-level programming in C / C ++. - Team player with strong collaboration and communication skills. - Quick learner with ability to adapt to new tools, methods, and frameworks. Preferred Qualifications: - Background in mobile app research or development ( Android / IOSgreenTxtBg!). - Image processing experience. - Reverse engineering experience with tools like IDA, gdb, and lldb. - Knowledge of OS internals. - Cybersecurity background with understanding of threat landscapes and attack vectors. About the Company:our company's mission is to protect every mobile app worldwide 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 control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With our company, 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 our company to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, our company's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 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:
BS.c in Electrical/Computer Engineering or equivalent experience
5+ years of overall experience
Strong system-level understanding and hands-on lab experience
Excellent interpersonal and intercultural skills, including written and verbal communication in English
Ways to stand out from the crowd:
Knowledge in SW-HW interfaces, PCIe, memory subsystems, storage components, network applications, device drivers and real-time software
Programming knowledge in Python/C/C++ or Perl
Deep understanding of computing architectures, hardware systems block diagrams and schematic sheets understanding
Previous roles in project management, technical lead or system validation positions.

Requirements:
An M.Sc. degree in computer science, statistics, or a related field is a must; a Ph.D. degree is an advantage.
At least 3 peer-reviewed publications in reputable academic journals or conferences.
5+ years of experience in leading and managing data science and machine learning projects, preferably at the intersection of AI and cybersecurity.
Experience and hands-on familiarity with distributed cloud systems.
Strong knowledge of deep learning models and common model architectures such as transformer models, LLMs, CNNs, RNNs. Knowledge of programming languages that are used in AI researchlike Pythonand experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch).
Proven ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems.
Excellent communication (both written and verbal) and presentation skills.

Requirements:
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Engineering, or a related technical discipline or equivalent experience
7+ years of experience in UNIX and TCP/IP network fundamentals
7+ years of coding experience
Experience learning development languages (PHP, Python, C++, and Java)
Experience learning software, frameworks and APIs
Experience performing 'guerilla capacity planning' for internet service architectures
Knowledge in internet service architectures (such as load balancing, LAMP, CDNs)
Experience in configurating and maintaining of applications such as Apache, Memcached, Squid, MySQL, NFS, DHCP, NTP, SSH, DNS, and SNMP
Preferred Qualifications
BS or MS in Computer Science.

Requirements:
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
5+ years of hands-on experience developing and deploying machine learning models into production
Strong background in ML, Deep Learning, NLP, preferably with a focus on audio/video transcription and analysis
Experience in leveraging large-scale compute resources, including distributed GPUs, to train, test, and evaluate models
Proficiency in programming languages such as Python, and experience with relevant libraries and frameworks (OpenCV, TensorFlow, PyTorch, etc.)
Excellent verbal and written communication skills.

Requirements:
Currently pursuing a BSc / MSc degree in Electrical Engineering, Computer Engineering, or related field.
Strong understanding of fundamental concepts in digital signal processing (DSP).
Preferred Qualifications
(BSc) Interest in pursuing a Masters degree in a related field.
Basic understanding of fundamental concepts of communication systems
Excellent problem-solving and analytical skills.
Strong communication and teamwork skills.
Experience and with using MATLAB/Python for algorithm development, modeling, and simulation
Experience and proficiency in C++ programming language