A DevOps Engineer is needed in Midrand, Gauteng, South Africa, to deploy, manage, and optimize the AI software stack. The role involves close collaboration with data scientists and machine learning engineers.
Location: Midrand, Gauteng, South AfricaContact: Chanel Lubbe – Associate Talent Specialist The DevOps Engineer will be responsible for deploying, managing, and optimizing the AI software stack to support our AI-driven applications.
This role involves close collaboration with data scientists and machine learning engineers to ensure the seamless integration of AI models and services within our enterprise environment.Design, implement, and manage on-premises and hybrid infrastructure for AI solutions. Leverage tools like NVIDIA AI Enterprise to streamline containerized application deployments and manage GPU resources effectively. Automate deployment and configuration of AI software solutions, ensuring that machine learning models and AI frameworks are optimized for performance. Develop scripts and tools in Python to facilitate rapid deployment of AI applications across various environments. Implement CI/CD pipelines specifically tailored for AI workloads using tools like cuDNN, Jenkins, GitLab CI, or CircleCI.Establish monitoring solutions to track the performance and utilization of AI resources and systems for efficient and reliable operations. Analyze system performance, identify bottlenecks, and implement tuning strategies for optimal GPU and application performance. Work closely with cross-functional teams, including data scientists, ML engineers, and IT, to support the integration of AI solutions into business applications. Provide guidance and support for best practices in AI model training and deployment, ensuring effective use of AI tools and solutions.Ensure compliance with relevant data protection regulations and industry standards. Create and maintain comprehensive documentation related to infrastructure setups, deployment processes, and operational guidelines.Requirements3+ years of experience in a DevOps role, with a focus on automation, AI, machine learning, or data engineering.Experience with technologies like Service Fabric, Redis, Rancher, ASP.NET, .Net Core, RabbitMQ, Elastic Stack, Git, API, and Terraform is beneficial. Knowledge of AI platforms , AI models , and AI infrastructure .Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.Familiarity with containerization technologies as they relate to AI workloads.Knowledge of coding/scripting languages such as Python, JavaScript, Yaml, Json, Terraform, and Ansible.Fundamental understanding of networking concepts like TCP/IP, DNS, TLS, and load balancing.Excellent communication and teamwork abilities, with a collaborative mindset.Desired Skills:
Devops AI Machine Learning Software Development Cloud Computing
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