לוח משרות דרושים NLP/Machine Learning

In this role, youll lead a team of top-tier software engineers, owning the architecture, scalability, and seamless integration of AI-driven capabilities into a high-performance, real-time security platform. You'll play a key role in transforming advanced AI technologies into impactful, production-ready solutions.

Our group combines the speed and creativity of a startup with the backing of a global cybersecurity leader. If you're passionate about solving complex technical problems, leading exceptional talent, and building innovative AI-powered systems with real-world impact we want to hear from you.


Key Responsibilities
Lead, mentor, and grow a team of software engineers, fostering a high-performing culture and supporting recruitment, onboarding, and career development
Drive the design, architecture, and technical direction of the AI-powered product, ensuring it meets performance, scalability, and integration goals
Work closely with data scientists, product managers, and engineering teams to align on strategy, execution, and delivery
Ensure robust, scalable, and reliable deployment in production
Stay on top of emerging AI technologies and best practices, evaluating and integrating advancements to keep the product and team at the cutting edge

We are looking for a strong, hands-on Data Scientist to join our Data Loss Prevention team.

In this role, you will join an R&D team that researches, designs, and develops Check Points data loss prevention cloud services, providing state-of-the-art AI-based data loss prevention solutions on a global scale.

Key Responsibilities


Join the research and development of new innovative capabilities for data loss prevention, involving advanced AI and algorithms.
Quickly iterate on design approaches based on data-driven research and user feedback.
Design and develop novel data-driven solutions that have the potential to deliver game-changing results involving advanced AI and algorithms.
Utilize Natural Language Processing (NLP) and large language models to enhance data loss prevention capabilities.
Work on web content categorization as part of the broader scope of data protection.
Collaborate with Cyber Researchers, Analysts, Fellow programmers, and Data Scientists to deliver machine learning and analytics solutions.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.

Join our AI & Innovation group as a Data Scientist and help shape the future of AI-driven security solutions. Youll work with a team of passionate, sharp-minded professionals tackling complex challenges at the intersection of AI, data science, and cybersecurity building the next generation of security products at the core of strategy.

Youll have access to some of the best cybersecurity data sources available, working in a fast-moving, dynamic environment that blends the agility of a startup with the scale and stability of a global leader.

If youre excited about solving real-world AI challenges, translating research into impactful solutions, and collaborating with top talent to push the boundaries of innovation we want to hear from you.

Key Responsibilities
Translate ambiguous product or business challenges into well-defined data science problems
Research and prototype cutting-edge AI techniques (LLMs, RAG, knowledge graphs, etc.)
Design and implement data-driven algorithms, analyze data, build and evaluate models
Collaborate with engineering to deploy scalable, production-ready solutions
Work with product teams to align AI solutions with user needs and business goals
Collaborate cross-functionally with engineers, product managers, and fellow scientists to bring research into production and deliver measurable impact
Stay current with advancements in AI/ML and generative AI, and actively contribute to innovation within the team and broader organization

Required Senior Hands-On Gen.AI Infrastructure Expert
Job Description
Tel Aviv Research and Innovation Center, where we pioneer next-generation data center technologies. Our Future-Data-Center-Infrastructure group specializes in co-designing hardware and software architectures that accelerate AI workloads, optimize resource utilization, and reduce operational costs.
Working at the intersection of academic research and practical implementation, our team develops cutting-edge solutions for AI infrastructure challenges, with a particular focus on Generative AI and large language models (LLMs). We pride ourselves on fostering an environment where system-level thinking, innovation, and technical excellence drive our success in reshaping the future of data center technology.
Role Overview
As a Senior Gen.AI Infrastructure Engineer in our AI innovation team, you'll play a crucial role in advancing our LLM infrastructure capabilities, focusing on research, implementation and optimization of state-of-the-art solutions for model deployment and serving
What will you be doing?
Explore new directions and seek new opportunities for innovation through academic / industry trends tracking
Design and implement advanced optimization techniques for transformer-based models
Conduct research and stay current with academic developments in LLM optimization
Drive architectural improvements for large-scale model serving systems
Develop and optimize infrastructure components using PyTorch and other frameworks
Implement and optimize model serving solutions using frameworks such as vLLM, TGI, and MindIE
Collaborate with cross-functional teams to improve system architecture and performance.

abra R&D is seeking an experienced Algorithm and Signal Processing Engineer We are seeking a Data Scientist and LLM Engineer with a strong background in Python and hands-on experience in developing and implementing advanced ML and NLP solutions.
* The ideal candidate will bring in-depth technical skills and industry experience to design, develop, and optimize AI/ML models, particularly Large Language Models (LLMs), to address complex challenges in our target sectors ementation in simulation environments.
* Support software, hardware, and firmware teams in implementing algorithms on embedded systems. Responsibilities
* Design, develop, and deploy cutting-edge causal inference and AI models to solve complex problems in user behavior, root cause analysis, gaming and mobile applications domains.
* Develop Python-based solutions for data processing, model training, and deployment in production environments.
* Collaborate with cross-functional teams to integrate AI/ML solutions into enterprise-grade applications.
* Conduct research on the latest advancements in AI, ML, and LLMs to maintain competitive edge.
* Optimize and fine-tune LLMs for performance, scalability, and cost efficiency.
* Analyze and process large datasets to extract actionable insights that drive business value.
* Develop and maintain robust, scalable, and efficient codebases and documentation. Why Join Us
* Be part of a forward-thinking start-up company pushing the boundaries of AI and ML.
* Collaborate with a talented team dedicated to innovation and excellence.
* Opportunities for professional growth and development in cutting-edge technologies.

We are looking for a AI/ML Team Lead.
Responsibilities:
As an AI/ML Team Lead, your responsibilities include:
Leading and mentoring a team of AI engineers, fostering a culture of innovation, collaboration, and continuous learning.
Working with product managers, software engineers, and designers to identify and prioritize AI-driven features and enhancements.
Developing the next generation of DPI and QoE AI/ML engines and integrating them into the product.
Maintaining existing AI/ML engines.
Promoting best practices in AI development, including model evaluation, testing, and monitoring.

We are looking for a highly skilled and motivated Machine Learning Engineer to join our Data Science Engineering team. The ideal candidate will have a deep understanding of machine learning infrastructure and solutions, enabling data scientists and engineers to efficiently develop, deploy, and maintain models in production by delivering a scalable and high-quality solution. This role requires a combination of technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams.
About the Data Science Group: The Data Science group is at the forefront of developing and implementing advanced machine learning models and solutions. Our team is composed of talented data scientists, engineers, and subject matter experts who work together to create a high-quality, production-ready surveillance product and services. We are committed to pushing the boundaries of technology and delivering impactful results for our clients.
Lets get down to business:
What Youll Do:
Develop and maintain machine learning infrastructure and solutions to support the efficient development, deployment, and maintenance of models in production.
Collaborate with data scientists, engineers, and subject matter experts to deliver high-quality, production-ready machine learning models.
Design and implement software architecture for machine learning solutions.
Optimize model deployment and serving using industry best practices with CPU, GPU, and external APIs.
Work with containerized environments such as Kubernetes and Docker.
Utilize AWS for cloud-based machine learning solutions.
Conduct unit testing and ensure continuous integration and continuous deployment (CI/CD) practices are followed.
Collaborate with the DevOps team to establish best practices for MLOps.
Work in a production environment and closely with data science teams to ensure seamless model deployment and maintenance.
Stay updated with the latest advancements in machine learning and related technologies.

As a Machine Learning Software Engineer, you will join our AI Engineering group of our company:
Our goal is to deliver a modern infrastructure and solutions to enhance our company's algorithm development life cycle and shorten our delivery times.
We are an independent group, consisting of excellent and experienced engineers with diverse skills in software, infrastructure and algorithms.
We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products. We develop products that enable the research and deployment of state-of-the-art algorithms.
It develops the tools and sets the standards that allow great research.
What will your job look like:
Work closely with algorithm developers and infrastructure engineers to design, develop and automate the software that supports distributed training of deep learning algorithms.
Set the standard for developing reliable software, allowing reproducible research at scale.
Build and improve data pipelines to make the development process for deep learning algorithms more efficient.
Develop products that help algorithm developers test their models on large-scale real-world data. Our tech stack includes: Pandas, Polars, PyTorch, Kubernetes, Argo-Workflows, Spark, AWS.

The Road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision, and Geometric Modeling algorithms.
We are looking for an MLOps Software developer to help us design and implement our large-scale platform using the most up-to-date technologies.
What will your job look like:
Collaborate with algorithm developers to research, develop, and deploy machine learning models at a large scale.
Leverage our company's data sources and cloud computing to build an infrastructure that process terabytes of data to improve our machine learning models.
Perform software research, development, evaluation, and optimization.
Design and implement large scale systems.