DevOps Engineer

Title: DevOps Engineer Location: Santa Clara, CA (Hybrid) Pay rate: $45 - $48 (Per hour) About the Role: We are looking for an innovative and highly motivated AI DevOps Engineer (Contractor) to join our dynamic team. As an AI DevOps Engineer, you will play a crucial role in bridging between development and operations in AI-focused projects. Your main responsibility will be to ensure the seamless deployment, scalability, and reliability of AI and machine learning applications by designing and managing infrastructure, tools, and pipelines. Key Responsibilities: Design, implement, and manage cloud-based or on-premise infrastructure for AI/ML workflows Automate infrastructure provisioning, configuration, and scaling using tools like Terraform, Kubernetes, or equivalent Develop and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored for AI/ML workflows Deploy machine learning models to production environments using containerization and orchestration platforms Collaborate with cross-functional teams to streamline workflows and accelerate experimentation and productionalization of AI systems Ensure data and model security by implementing robust access controls, encryption, and compliance with industry regulations Identify bottlenecks in AI/ML workflows and optimize system performance Diagnose and resolve issues in the deployment pipeline or production environment Required Skills: Familiarity with the fundamentals of artificial intelligence and machine learning Proficiency in scripting and automation languages or AI tools (Python, Bash, Jupiter Notebook, Golang, etc.) Familiarity with AI models and deployment tools Solid understanding of computer algorithms, AI training, inference, and AI-powered use cases Experience with infrastructure as code (IaC) tools like Terraform or Ansible Strong problem-solving and analytical skills Excellent communication and teamwork abilities Adaptability to a fast-paced, evolving environment