Latent AI, Inc.
A dedicated edge MLOps platform for delivering optimized and secured models more quickly
11 - 50
DevOps Engineer
March 19
Latent AI, Inc.
A dedicated edge MLOps platform for delivering optimized and secured models more quickly
11 - 50
Description
• Work closely with AI researchers and developers to design and implement effective CI/CD pipelines tailored for AI model development and deployment. • Implement and manage infrastructure as code (IaC) to automate the provisioning and scaling of AI infrastructure using tools like Terraform, Ansible, or CloudFormation. • Deploy and manage AI workloads on cloud platforms such as AWS, Azure, or Google Cloud, optimizing for performance and cost. • Implement and manage containerization technologies (Docker, Kubernetes) to streamline the deployment of AI models. • Collaborate with AI and data science teams to ensure the efficient and secure handling of large datasets and model training. • Implement and maintain AI model monitoring and logging solutions for proactive issue identification and resolution. • Collaborate on AI model deployment strategies, ensuring smooth transitions from development to production environments. • Stay abreast of the latest advancements in AI infrastructure, DevOps, and cloud technologies
Requirements
• Bachelor's degree in Computer Science, Information Technology, or a related field. • Proven experience as a DevOps Engineer with a focus on AI or machine learning projects. • Proficiency in scripting languages such as Python, Bash, or Ruby. • Experience with cloud platforms (AWS, Azure, Google Cloud) and AI-related services. • Familiarity with containerization and orchestration tools (Docker, Kubernetes). • Solid understanding of AI model deployment best practices and challenges. • Strong knowledge of infrastructure as code (IaC) tools like Terraform or Ansible. • Excellent problem-solving and communication skills.
Benefits
• Competitive salary • Stock options • Health and dental insurance • Flexible work hours • Collaborative and innovative work environment • Opportunities for professional development and growth
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