Are you a seasoned DevOps/MLOps engineer with expertise in managing and deploying AI and machine learning solutions? Do you have hands-on experience with container orchestration, cloud infrastructure, and GPU optimization? If you're excited about enhancing the resilience and efficiency of AI security platforms, we'd love for you to join our team at DeepKeep.

As a Lead DevOps/MLOps Engineer, you'll spearhead the architectural planning and deployment of our AI-powered security solutions. You'll collaborate closely with machine learning engineers, software developers, and product managers to facilitate an agile, reliable, and efficient development environment.

Your Impact and Responsibilities:

• Oversee the deployment and orchestration of containerized AI/ML models on Kubernetes in a cloud environment, specifically AWS.
• Design and implement robust CI/CD pipelines, with particular emphasis on automating testing and deployment steps.
• Work with developers to scale and optimize the use of GPUs for machine learning workloads across all environments.
• Collaborate with machine learning engineers to integrate cutting-edge techniques and models into a production environment.
• Monitor system performance, ensuring uptime, scalability, and effective resource utilization.
• Manage infrastructure as code through tools like Terraform or CloudFormation.
• Work closely with the product manager and engineering team to prioritize and execute feature deployments and system improvements.

Requirements for a Lead DevOps/MLOps Engineer:

• 10+ years of experience in software engineering, with at least 5 years focused on DevOps/MLOps roles.
• Deep expertise in container orchestration technologies like Kubernetes.
• Proficiency in AWS services, especially those related to machine learning and container management (EKS, ECS etc.).
• Extensive experience with CI/CD tools like Azure DevOps, GitLab CI, or similar.
• Strong understanding of network protocols, security practices, and system monitoring in a cloud environment.
• Hands-on experience with GPU-based computing and optimization for machine learning models.
• Excellent problem-solving skills and ability to debug complex systems.
• Strong communication skills and the ability to work effectively in a multidisciplinary team.
• Willingness to keep up with the latest trends in DevOps, cloud computing, and machine learning operations.

Why Work at DeepKeep?

At DeepKeep, you'll have the unique opportunity to apply your skills in DevOps and MLOps to enhance AI security platforms. You'll collaborate with a team of experts in a fast-paced, innovative, and rewarding environment. We value technical excellence, efficiency, and a focus on delivering cutting-edge solutions to real-world problems. Be a part of our mission to make machine learning systems safer and more robust against adversarial attacks.