דרושים » תוכנה » MLOps Engineer

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.

Join our AI SaaS Team and take a pivotal role in shaping the next generation of forensic AI solutions. Youll design and build the infrastructure, tools, and pipelines that empower our researchers and data teams to innovate faster and smarter. In this role, youll work side-by-side with data scientists and AI researchers to transform ideas into reality integrating multi-modal data state-of-the-art Machine Learning models, and intuitive interfaces into scalable solutions. Youll also take ownership of AI/GenAI infrastructure and bring MLOps best practices into play, ensuring smooth data flows, efficient model training, and seamless deployments. This is your chance to bridge research and engineering, influence cutting-edge products, and deliver impactful forensic insights to investigators worldwide.
Key Responsibilities
* Develop and maintain AI/GenAI infrastructure: training environments, pipelines, and data Storage.
* Build scalable data pipelines for acquisition, transformation, and integration of multi-modal data.
* Support researchers by creating tools, visualizations, and prototypes for experiments and POCs.
* Collaborate with data scientists and engineers to operationalize AI models into Cellebrites SaaS products.
* Design and maintain cloud-native MLOps solutions for scalable deployments.

Office Location:
Petah Tikva

We are looking for a brilliant and enthusiastic DevOps Engineer to join our close-knit and highly-skilled team to help expand our platform to newer heights. As a team member, you will take part in the design and implementation of our ever-evolving infrastructures, providing us with smooth and robust DevOps solutions.
Roles and Responsibilities:
Build and maintain highly available and scalable production systems
Design and implement dynamic serverless cloud environments
Develop a robust, fully-automated deployment for SAAS solutions
Monitor system performance and implement optimizations for reliability and cost-efficiency
Work closely with development, security, and automation teams to foster a culture of security awareness
Research and integrate new DevOps technologies using best practices

We are looking for a Senior DevOps Engineer to join our team. This is a hands-on role focused on designing, building, and maintaining scalable infrastructure and deployment pipelines.
You will collaborate closely with development, product, and research teams to deliver robust, secure, and high-performing systems that support our SaaS and on-premise solutions.
Responsibilities:
Take full ownership of DevOps initiatives, driving them from concept to execution across teams.
Develop and maintain CI/CD pipelines to ensure efficient and reliable software delivery.
Collaborate with developers to optimize build and deployment processes.
Manage and enhance cloud infrastructure on AWS & Azure using infrastructure-as-code tools like Terraform.
Implement and maintain monitoring, logging, and alerting systems to ensure system reliability and performance.
Write and review Python code to support infrastructure automation and tooling.
Contribute to FinOps initiatives by monitoring and optimizing cloud costs.
Promote a culture of ownership, continuous improvement, and cross-team collaboration.
Stay up-to-date with emerging DevOps technologies and best practices to continuously improve our systems.

We are looking for a DevOps Team Lead to join our Application team.
This is a hands-on leadership role combining people management and technical expertise. You will lead a team of DevOps engineers, shape infrastructure strategy, and ensure high availability, scalability, and performance of our systems.
You will work closely with development teams, product managers, and security to define and deliver infrastructure solutions and CI/CD pipelines that accelerate development while maintaining the highest standards in security and reliability.
Roles and Responsibilities:
Lead, mentor, and grow a team of skilled DevOps engineers.
Define team goals, drive execution, and support professional development.
Own and evolve our CI/CD infrastructure to support rapid and safe delivery of code to production.
Collaborate with developers to improve build and deployment processes.
Ensure observability, monitoring, and alerting systems are effective and actionable.
Manage cloud infrastructure (primarily in AWS) using infrastructure-as-code (Terraform).
Take an active role in writing and reviewing Python code to support infrastructure tools and internal automation.
Maintain high standards for automation, code quality, and security practices.
Promote a culture of ownership, continuous improvement, and cross-team collaboration.
Manage cloud cost optimization as part of FinOps responsibilities.

As a Senior Software Engineer within the AI Security team, you'll play a critical role in developing specialised tools and services to secure our cutting-edge Agentic AI solutions. Youll collaborate closely with architects, researchers, and security experts to translate security research into robust, production-ready software systems focused on safeguarding AI initiatives.

What Youll Do:
Develop, maintain, and optimise high-quality backend software systems and APIs, specifically designed for Agentic AI security and safety.
Translate advanced security research findings into scalable software tools, services, and guardrails for securing AI models.
Collaborate with AI security researchers and architects to implement practical solutions for identifying and mitigating vulnerabilities unique to Agentic AI systems.
Contribute to engineering best practices (code reviews, unit testing, CI/CD pipelines) and ensure technical excellence across the development lifecycle.
Take ownership of significant features and services from conceptualization through deployment, continuously improving existing solutions.
Build and deploy data pipelines and ML model training pipelines.

Were looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile whos able to change directions in midstream. Independent & Accountable.
What youll do:
Design the infrastructure for hybrid-cloud deployments
Build reliable systems at scale.
Own, improve and pitch about production, stability and performance
Maintain the application layer of our public cloud and private cloud
Develop and integrate infrastructure tools in support of our production system
Automate the Provisioning and configuration
Work closely with product, QA, developers, and IT/operations departments to streamline their working methods
As a core member of the team, you will participate in 'On-Call' duties on our company production systems, working in non-conventional hours include weekends and holidays (from time to time).

Working as a bridge between Data Science and Engineering, you will collaborate across various teams, supporting both data science and engineering as well as liaising with architecture and product management to help shape the Impact AI roadmap and accelerate our value to our customers.

Job Description
What you get to do in this role:  

Data Extraction and Pre-processing: Normalizing and pre-processing data, creating datasets, organizing outcomes, documenting data-quality checks.

Model Evaluation, Implementation & Maintenance: Evaluating, selecting, and implementing models locally, setting up automated drift / performance monitoring in production.

Solution Design: Contribute to solution diagrams.

Education and Training: Educating engineers on data and model management best practices through individual and team sessions.

Presentation and Documentation: Preparing and presenting explanatory documents and presentations to PMs and relevant internal customers .

Production Deployment of Models: Bringing Python models to production, paying attention to non-functional requirements such as predictive accuracy, robustness, security, performance, and storage.

we are looking for a Devops Engineer
What You'll Do:

Design the infrastructure for hybrid-cloud deployments
Build reliable systems at scale.
Own, improve and pitch about production, stability and performance
Maintain the application layer of our public cloud and private cloud
Develop and integrate infrastructure tools in support of our production system
Automate the Provisioning and configuration
Work closely with product, QA, developers, and IT/operations departments to streamline their working methods