Sr. ML Engineer- Platform

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; it’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together.

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.

The Dream Job:

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world ML services and customer deployments. In this role, you'll own reliability, velocity, and cost efficiency for Dream’s products and customer deployments.

The Dream-Maker Responsibilities:

• Design, develop, build and maintain the best solutions for our production platform.
• Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
• Work closely with our data scientists and developers to create training, inference and serving pipelines.
• Build and maintain tools for automation, deployment, monitoring, and operations.
• Troubleshoot issues in our development, production, and test environments
  
  

• At least 4-5 years of experience in one of the following roles: DevOps, MLOps.
• Excellent communication and people oriented
• Experience with design, build, development and maintenance of DevOps solutions.
• Experience with one of the major cloud providers: AWS, GCP, Azure.
• Experience Working cloud & on-prem environments and solutions.
• Solid Linux system expert skills - a must
• Vast Experience with applications and tooling including Kubernetes, Helm, Terraform, Ansible, SQL/NoSQL/Graph DBs, MLFlow, Jenkins, GitHub, etc.
• Experienced with CI\CD technologies.
• Experience with bootstrapping projects, introducing new technologies and building systems from scratch.
• Good coding capabilities (python\bash etc.)
• Advantage- Experience working on endpoint products (agent/sensors/collectors)
• Advantage- Experience working on AI components (Training, inference, serving)
  
  

• AWS, Kubernetes, EKS, ECS, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker+Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, MLFlow, Clickhouse, Jupyter and more.