דרושים » הנדסה » MLOps Engineer

The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a seasoned and passionate Product Owner to join our group of data and ML engineers.
You will be responsible for filling the gap between the market requirements, management and the solution that determines how to implement these requirements in our data and ML frameworks. Using comprehensive business and technical knowledge, the PO accompanies the entire development process starting from the planning phase, through the development and testing process to successful release to our customers. The PO works closely with the Engineering Teams, Product Management, Analytics, Data Science, and Technical Writers.
What will you do:
Produce valuable content for our customers
Own the backlog - deconstruct large features to smaller pieces, define and prioritize the pieces that can compose a releasable feature
Be the central focal point for all parties outside of the development department for: how the framework works, what the product can do, and how a certain change will affect the framework
Analyze framework business requirements and produce a functional design
Utilize deep knowledge of the frameworks and its use by customers to work together with the rest of R&D, explain the requirements and answer any functional questions
Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams.

As a Staff Engineer in the Data & AI Platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across our companys data and AI ecosystem.
You will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.
This role combines deep technical expertise with leadership: shaping the platforms architecture, mentoring senior engineers, and ensuring technical excellence and execution.
In this role you will
Lead end-to-end development of high-priority, cross-team features and initiatives in the Data & AI platform.
Design and implement scalable, resilient, and secure distributed systems in a modern cloud environment.
Drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and AI teams.
Mentor developers, support their growth, and elevate engineering practices across the group.
Promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives.
Evaluate new technologies and guide their adoption where appropriate.
Collaborate with engineers and managers across our company to align standards, share knowledge, and lead technical deep dives.

we are looking for an experienced and highly motivated Development Group Manager to lead our AI Agents Development Group under the Data, AI & Research department.
This role offers an opportunity to drive innovation and spearhead cutting-edge conversational and Agentic technologies within a global leader in security. You will be responsible for recruiting and managing a world-class team of AI engineers and architects, guiding the development of Agentic and conversational solutions that enhance our companys products and services. 
Leading and mentoring several teams of AI engineers, fostering their technical excellence and innovation. 
Overseeing the full AI solution lifecycle, including data acquisition, model selection, fine-tuning and usage, evaluation, and continuous improvement. 
Implementing a data-driven decision-making approach to ensure AI solutions align with business goals and deliver measurable impact. 
Establishing numerical quality measurements to track and improve AI model performance and effectiveness, as well as adoption and satisfaction. 
Collaborating with product management and the field to define the roadmap for Agentic AI capabilities and ensuring alignment with business objectives. 
Improving and complying with best practices for AI-related governance, security, and ethical principles. 

As a Data Science Team Leader at our company, you will lead a high-performing team developing AI/ML solutions that secure the digital worlds most sensitive assets. Youll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, youll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. Youll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across our companys identity security portfolio.
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

We are seeking a hands-on Tech Lead to be the first technical hire for our newly formed ML team. This is a unique ground-floor opportunity to build something from scratch and have direct influence on the technical direction of our ML capabilities. This role combines deep technical expertise with foundational leadership, requiring someone who can architect solutions, establish technical standards, and lay the groundwork for future team growth. As our founding ML tech lead, you'll have the opportunity to shape our technology choices, define our technical practices, and build the fundamental skill set that will guide the team as we scale.
What youll do: 
Shape the technical foundation: As our first ML hands on hire, choose and establish the team's core technology stack, frameworks, and development practices together with the ML leader
Build from the ground up: Design and implement our initial ML infrastructure, data pipelines, and model deployment frameworks
Define technical standards: Establish coding standards, best practices, and processes that will guide future team members
Hands-on development: Lead by example through direct development and deployment of ML models and data science solutions
Partner with stakeholders: Work closely with business teams to identify initial ML opportunities and build foundational proof-of-concept models
Establish MLOps practices: Set up our model development, testing, deployment, and monitoring workflows from scratch
Recruit and onboard: As the team grows, play a key role in technical interviews and help onboard new ML engineers and data scientists
Create team culture: Help establish the team's technical culture, learning practices, and collaboration methods
Technology evaluation: Research and select the tools, platforms, and technologies that will form our ML tech stack
Document and share knowledge: Create foundational documentation and knowledge-sharing practices for the growing team.

we are the global leader in Identity Security. Centered on privileged access management, our company provides the most comprehensive security offering for any identity human or machine across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The worlds leading organizations trust our company to help secure their most critical assets.
Job Description
What will you do:
We are looking for a bright, talented Senior Devops Platform Developer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale.
As part of your role, you will design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market. Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

We are looking for a Backend Software Engineer to contribute to the development of our companys enterprise SaaS platform. The role focuses on designing, building, and improving backend services and large-scale infrastructure components.
What Youll Do:
Design and implement backend services that drive a high-scale, high-availability SaaS product.
Lead and contribute to the development of a new rule-engine solution, including architecture, data flow design, and performance considerations.
Work on complex architectural challenges, improving system scalability, stability, and long-term maintainability.
Develop new features end-to-end: analysis, design, implementation, testing, and deployment.
Ensure code quality, performance, observability, and security across backend components.
Collaborate with architects and other engineering teams to design robust technical solutions.

we are looking for a Staff software engineer to join our elite team which is responsible for building one of our companys new SaaS products.
In this role you will be using AWS serverless architecture, GO, AWS CDK & Python to design, develop, test, secure & deploy services from planning to production. You will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
The team works in full collaboration with security architects, product managers and other development teams.
We are looking forward for energetic and versatile person to join our family and help us achieving our goals.

We are looking for a Machine Learning Engineer (MLE) to work on building foundational language models and agentic AI systems that empower small and medium-sized businesses (SMBs) in their financial and operational journeys.
In this role, youll work alongside Machine Learning Engineers, AI scientists and product teams to build LLM based solutions for millions of small and medium busniesses around the world, and build foundational models, involving translate breakthrough research into production systems designing, implementing, optimizing cost, latency, serving models that reason, act, and learn across real-world business contexts. Youll build scalable pipelines and infrastructure that drive impact on customers lives with the state-of-the-art AI from prototype to customer impact.
This is a unique opportunity for an engineer who thrives at the intersection of science and production, combining deep technical understanding of AI systems with the rigor and creativity needed to deliver robust, reliable, and high-performing products at scale.
Responsibilities
Implement, optimize, and deploy foundation and agentic models for large-scale use in financial reasoning, decision support, and business automation.
Collaborate with MLE, AI scientists to operationalize research ideas, turning model architectures and training methods into efficient, production-grade implementations.
Design, build, and maintain ML pipelines for data ingestion, preprocessing, training, evaluation, and continuous improvement.
Optimize inference efficiency and model latency, ensuring production systems meet real-time performance requirements.
Contribute to retrieval, memory, and orchestration components that enable agentic reasoning and long-term context management.
Establish best practices for model monitoring, evaluation, and safe deployment, including automated testing and observability in production environments.
Drive applied innovation, bridging the gap between research prototypes and large-scale, reliable business solutions used by millions of customers.

we are looking for a staff software engineer to join our elite team which is responsible for building a platform that serves all our companys SaaS products.
In addition to the platform, the team is also responsible for one of our companys strategic products that enables customers to access their sensitive assets securely.
In this role you will be using AWS serverless architecture, AWS CDK &Python to design, develop, test, secure & deploy services from planning to production.
The team works in full collaboration with security architects, product managers and other development teams. Together we produce complex and advanced platform that meet the highest security standards and NFRs.
We are looking forward for energetic and versatile person to join our family and help us achieving our goals.
Practice all software development life cycle in agile oriented environment
Design and implement the infrastructure of the system.
Research and implement sophisticated Cyber security mechanisms
Explore new technologies and tools to keep us using cutting edge solutions
Help guide and contribute to feature design and implementation to bring the product to the next level.
Participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability, and performance.