Live opening · Posted 11 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Infrastructure Solutions Group (ISG) builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale.
Some product builders follow the rules. Ours rewrite them.
Within ISG, innovation isn't just about creating new technology- it's about challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. Yet the most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust. When your products power critical infrastructure around the world, that responsibility matters.
We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo- we look for builders who question it, improve it, and occasionally rewrite it.
If you're energized by solving complex systems challenges, excited to work alongside AI to amplify your impact, and motivated by the opportunity to shape what's next instead of simply maintaining what's been done before, you'll find your place here.
Join us and help build the future of enterprise technology.
As a Junior MLOps Engineer on our Software Engineering team in Glil Yam - Herzliya, you will do the best work of your career and make a profound social impact.
What you'll achieve
As an MLOps Engineer, you will be responsible for designing, developing, and operating scalable MLOps platforms and AI-powered solutions. You will work closely with data scientists, software engineers, and AI/GenAI teams to build reliable, production-grade machine learning systems that accelerate innovation and deliver business impact at scale.
You will:
Design, develop, and operate scalable MLOps platform components and AI infrastructure.
Contribute to the implementation, deployment, and support of end-to-end machine learning and AI solutions.
Collaborate with data science, AI, and engineering teams to operationalize machine learning and Generative AI workloads.
Develop and maintain high-performance backend services and modern web-based interfaces using TypeScript, Node.js, and modern frontend frameworks.
Troubleshoot production issues and contribute to improving platform reliability, scalability, performance, and observability.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
Essential Requirements
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
Strong experience with TypeScript, Node.js, and modern frontend technologies such as React or Vue.js.
Experience building, deploying, and maintaining machine learning platforms and AI-driven applications, including frameworks such as MLflow.
Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
Strong debugging, troubleshooting, and problem-solving skills.
Desirable Requirements
Experience working with Generative AI technologies, AI agents, and agentic development environments using tools such as Cursor and Claude.
Military software development experience as well as software development experience gained during academic studies, is an advantage.
Work arrangement
No
Your early-applicant advantage
Live timing from JobBeeper.
More openings worth a look
Recently tracked roles with full details and direct application links.