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Job Type: More than one
Cutting-edge AI startup seeking a Lead MLOps Platform Developer for our global foundation team.
About the Role:
Lead the development and maintenance of our MLOps platform, supporting advanced ML research and deploying large-scale ML models and LLM agents.
Responsibilities:
Design and build cloud infrastructure for the entire ML lifecycle.
Deploy and optimize classical ML models and LLM agents.
Manage LLM agent operations (context, tools, prompts).
Implement CI/CD pipelines and monitoring.
Use IaC tools (Terraform, CloudFormation).
Provide technical leadership.

Location Travel:

Remote (Israel).
Occasional travel to Paris (4 days/month)
Requirements:
6+ years of experience in MLOps, infrastructure development, or a similar field.
Proven experience in developing and deploying both classical ML models and LLM agents in production environments.
Strong proficiency in Python and Bash scripting.
Extensive experience with ML model deployment tools such as MLflow, Weights Biases / Vertex / SageMaker and DVC.
Deep expertise in cloud platforms (AWS, GCP, Azure), Infrastructure as Code (IaC) tools (Terraform, CloudFormation), CI/CD, containerization (Docker, Kubernetes), and monitoring/observability tools like Grafana.
Strong understanding of LLM agent operations, including context management, tool integration, and prompt engineering.
Excellent problem-solving and debugging skills.
Strong communication and collaboration skills.
Experience leading or mentoring a team is highly desirable
Skills
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
Required AI Software Engineer
About the Business Unit:
The Vision Business Unit (VBU) is a unique department combining a dynamic startup working environment with a stable and well positioned IP company. A VBU Software organization goal is to create and supply the most cutting-edge embedded software and graph compiler core for AI and Vision applications. We are a forward-thinking, innovative organization that continuously pushes technological limits to enable widespread access to fields like augmented reality, virtual reality, 3D processing, and Generative AI.
About the Role:
In this role, you will learn and deeply understand the AI domain including neural network models, quantization techniques, network performance and precision. You will develop most advanced Neural Network Graph Compiler tools that will be used by our customers across the globe.
Responsibilities:
Develop and implement software compiler for deployment of AI models on proprietary hardware. Optimize high-level algorithm implementations for our NPU and DSP architecture. Independently manage projects from start to finish, ensuring timely delivery. Collaborate with cross-functional teams to integrate solutions into products. Conduct thorough testing and debugging of software. Stay updated with the latest advancements in AI compiler technologies.
Requirements:
B.Sc or M.Sc in Engineering, Computer Science, or related technical field.
3-5 years of proven experience as a Python developer and knowledge of C++
Excellent problem-solving skills and creativity in software design
Ability to work independently and manage dynamic environment with interrupts
Strong organizational skills and attention to detail
Effective communication skills and ability to collaborate with team members.
Advantages:
Experience in Graph Compiler engineering
Experience in embedded systems development
Familiarity with IR, optimization, and quantization
Strong knowledge of CI/CD, git, pytest, dockers, CMake and torch
Programming in Linux environment
Knowledge in AI modeling and neural networks.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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16/04/2025
Location: Herzliya
Job Type: Full Time and Hybrid work
We are seeking an experienced and analytical Intelligence Methodologist to join our new Gen AI team.
You will collaborate with analysts, product managers, data scientists and developers to design and optimize investigative workflows, ensuring our solutions address real-world intelligence challenges effectively. This is a unique opportunity to combine your expertise in intelligence methods with cutting-edge conversational Gen AI technology.
As an employee, you will:
Work closely with product managers and development teams to align investigative methodologies with the conversational AI's capabilities.
Develop and curate high-quality domain-specific datasets for training and evaluation.
Communicate findings, progress to stakeholders, and provide recommendations for further enhancements.
Provide expert knowledge and insights to ensure the LLM agent understands and processes domain-specific language accurately.
Design, document, and refine methodologies for conducting intelligence investigations.
Train intelligence analysts on the use of methodologies and tools.
Create documentation and training materials to support effective adoption of workflows.
Collaborate with internal teams and external partners to understand operational requirements.
Requirements:
Proven experience in Intelligence analysis/investigation and a deep understanding of its language and nuances.
Strong background in homeland-security/national-security/law-enforcement
Experience with LLMs and fine-tuning techniques an advantage
Passionate & strong hands-on mentality
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Previous experience in a similar role or project involving LLM/AI-agents.
Excellent verbal and written communications skills English other languages advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8140451
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06/04/2025
Location: Herzliya
Job Type: Full Time
We are looking for an experienced engineer with hands-on experience in Prompt Engineering and a background in Data Science to join our team.
Your role will be crucial in leveraging LLMs and Machine Learning Models to significantly enhance our data-centric threat detection capabilities, making a real difference in our product.
Responsibilities
Write, test, refine, and optimize prompts and LLM models.
Implement and integrate LLMs and machine learning models within our services and product suite.
Develop our LLM-Ops framework to manage LLMs lifecycle.
Write high-performance code on top of Databricks and PySpark.
Evaluate and implement machine learning algorithms and Auto-MLs solutions on top of Databricks.
Requirements:
Bachelors degree in computer science or related field
Strong proficiency in Python programming, with the ability to write efficient, maintainable, and scalable code.
At least 3 years of experience in Data Engineering and Data Science roles
Experience working with cloud-based environments (Azure/ AWS/ GCP)
Deep interest and foundational knowledge in Large Language Models (LLMs) and Prompt Engineering
Hands-on experience with developing LLM-based products, Vector DB, RAG, LangChain and similar frameworks and libraries.
Excellent analytical skills
Excellent written communication and problem-solving skills
Advantages
Experience working in PySpark and Databricks
Working on data-driven products on a high scale
Prior experience in the cybersecurity industry.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
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