DevOps Engineer

$93,600 - $99,840/Yr

Collabera - Santa Clara, CA

Full-time - Entry Level

Santa Clara, CA

Professional, Scientific, and Technical Services

About the position

The AI DevOps Engineer will be responsible for bridging the gap between development and operations in AI-focused projects. This role involves ensuring the seamless deployment, scalability, and reliability of AI and machine learning applications by designing and managing infrastructure, tools, and pipelines.

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

Requirements

• 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

Benefits

• Competitive pay rate of $45 - $48 per hour
• Hybrid work environment