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