דרושים » תוכנה » (ON) ML Engineer

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.

we are seeking an experienced Senior Site Reliability Engineer (SRE) to manage the reliability, scalability, and uptime of our SaaS production environments, ensuring 99.999% uptime. You will collaborate with the SOC, DevOps, and other teams to proactively monitor and optimize the health of our systems, combining technical expertise and problem-solving to ensure exceptional service reliability and performance.
About us: For over two decades, we have mastered the art of real-time data. Weve built platforms that power the worlds most demanding systems, shaping how organizations grow their business with data-driven services. We have pioneered technologies that optimize data-driven services working with global organizations including American Airlines, Morgan Stanley, CSX, Goldman Sachs, Société Générale, Credit Agricole and more. As pioneers in data-tech, we are building on our DNA in real-time operational data to deliver cutting-edge GenAI solutions that empower businesses to unlock the full potential of their structured data and transform how they interact with information.
Reporting to our VP R&D, this position is full time, hybrid and located in Herzeliya.
Key Responsibilities:
SaaS Reliability: Ensure 99.999% uptime for SaaS environments by optimizing monitoring, incident management, and capacity planning. Work with dev and product teams to ensure smooth deployments and operations.
Collaboration with SOC & DevOps: Partner with SOC to implement security best practices and automated threat response. Work with DevOps to scale CI/CD pipelines, manage releases, and implement disaster recovery plans.
Incident Response: Lead incident response for outages, conduct post-mortems, and implement corrective actions. Develop and maintain runbooks for common incidents.
Performance & Scalability: Monitor system performance, conduct load testing, and implement auto-scaling and performance optimizations. Ensure capacity planning aligns with scaling needs.
Automation & IaC: Drive Infrastructure as Code (IaC) practices using tools like Terraform and Ansible to automate and streamline infrastructure management.
Monitoring & Reporting: Maintain monitoring and alerting systems to ensure system health, meet SLAs/SLOs, and improve issue detection.