AI/ML Engineer
@ Dream

Tel Aviv District, Israel
$120,000
On Site
Full Time
Posted 24 hours ago

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About Dream

Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats.

Role Overview

As an AI/ML Engineer at Dream, you will join the Applications team within our platform engineering group. You will design, build, deploy, and maintain production-grade AI systems and ML pipelines. Your work will translate cutting-edge data science research into practical, scalable solutions for both cloud and on-premises deployments using GPUs and CUDA.

Responsibilities

  • Design, implement, and deploy ML models and AI-driven applications.
  • Build, manage, and maintain robust ML pipelines and systems.
  • Deploy models on cloud and on-premises GPU servers.
  • Optimize system performance and resource utilization.
  • Develop and maintain services and APIs for integration into microservices-based applications.
  • Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
  • Stay updated on the latest in AI, ML, and related fields.

Skills & Experience

  • 4-5 years in building ML/AI solutions in production environments.
  • Proficiency in Python and machine learning lifecycle best practices.
  • Experience with ML frameworks and scalable machine learning infrastructures.
  • Understanding of microservice design and architecture.
  • Proven team collaboration and effective problem-solving skills.

Advantages & Tech Stack

Familiarity with distributed ML tools, real-time ML model deployment, and cybersecurity applications of machine learning are an advantage. The tech stack includes AWS (SageMaker, Lambda), PyTorch, vLLM, Ray, Hugging Face, Docker, Kubernetes, FastAPI, and Flask.

Key skills/competency

  • AI
  • ML
  • Python
  • Cloud
  • GPU
  • Deployment
  • Microservices
  • APIs
  • Cybersecurity
  • Optimization
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How to Get Hired at Dream

🎯 Tips for Getting Hired

  • Customize your resume: Highlight ML pipeline and production experience.
  • Research Dream's culture: Study their cybersecurity innovations and mission.
  • Emphasize Python skills: Showcase proficiency and project expertise.
  • Prepare technical demos: Practice model deployment and optimization cases.
  • Network effectively: Connect with current employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review cloud deployment techniques and GPU usage.
Practice Python coding challenges and ML model tuning.
Master ML pipeline tools and model optimization.
Study Docker and Kubernetes configurations.

Behavioral Questions

Describe a challenge working in team environments.
Explain a time you solved a critical problem.
Discuss managing deadlines in fast-paced projects.
Share an instance of adapting to rapid changes.

Frequently Asked Questions