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Location: Merkaz
We are seeking a skilled MLOps Engineer
Responsibilities
Deploy machine learning models in development and production environments, ensuring seamless integration and reliability.
Optimize models for scalability, stability and performance in real-world scenarios.
Monitoring & Maintenance: Monitor training and production infrastructure, analyze model performance, identify potential issues and implement solutions to ensure continuous operation.
Leverage MLOps platforms and tools to automate and streamline the development of machine learning models.
Infrastructure Management: Work with containerization, orchestration, and infrastructure-as-code tools to support scalable and and efficient ML workflows.
Requirements:
At least 2 years of experience as a MLOps Engineer.
Strong programming skills in python.
Hands-on experience with machine learning frameworks such as PyTorch and TrensorRT.
Proficiency in infrastructure-as-code tools like Terraform.
Familiarity with MLOps best practices and tools for model lifecycle management.
Advantages
Experience working with cloud platforms such as AWS or GCP.
Knowledge in additional MLOps tools and platforms.
This position is open to all candidates.
 
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05/08/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team at our company, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Principal Data Scientist, you will apply your expertise in data analysis, machine learning, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, ML-based security solutions that block attacks even before they begin.
Your Impact
Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers
Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach
Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders
Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment.
Requirements:
Natural scientific curiosity and ability to handle complex problems
At least 6 years of experience in hands-on data science projects
High proficiency in python and at least good familiarity with SQL
Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field or equivalent military experience required
Deep understanding of probability, statistics, and machine learning models with a proven track record of selecting, modifying, and applying advanced algorithms to solve practical problems
Demonstrated ability to run end-to-end research POCs, from conceptualization to solutions, including designing, executing, analyzing, and concluding research methodologies and outcomes
Good communication skills, with the ability to convey complex research findings clearly and effectively to both technical and business audiences
Preferred
Background in the cybersecurity domain
Experience with recommender systems
Experience working with big data platforms (e.g., GCP)
Experience with LLM-based algorithm design
Familiarity with cloud-native architectures and services for data processing.
This position is open to all candidates.
 
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31/07/2025
Location: Tel Aviv-Yafo
Job Type: Full Time
We’re looking for a Product Manager to lead Fiverr’s LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace. As the PM for LLM Infrastructure, you’ll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. You’ll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more. Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.

What am I going to do?:

* Define the product vision and roadmap for Fiverr’s LLM infrastructure, aligning with long-term company strategy and cross-team needs.
* Lead the development of scalable systems that extract meaning.
* Structure from conversational and behavioral data.
* Drive adoption of LLM capabilities across Fiverr by building unified APIs, shared frameworks, and streamlined integration pipelines.
* Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
* Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
* Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
* Manage technical complexity and connect infrastructure efforts with clear business value.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.
Requirements:
4+ years of product management experience , ideally with a focus on AI/ML, NLP, or infrastructure/platform products.
* Strong technical background in ML infrastructure, data systems, or engineering;
* Experience building or scaling systems based on large language models or unstructured data processing.
* Strong understanding of the AI/LLM ecosystem - including model deployment, evaluation, prompt orchestration, and data pipelines.
* Proven track record of leading cross-functional teams to deliver technically complex products with measurable impact.
* Excellent communication and collaboration skills, especially in technical environments.
* Ability to operate in ambiguity.
* Ability to drive clarity through structured thinking and sharp execution.
* Background in ML infrastructure, AI products, or applied research is a plus.
This position is open to all candidates.
 
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