Remote AI Platform Engineer

Placements24; Gqeberha; Híbrido; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Retirement contributions

Performance bonuses

Generous PTO

Flexible working hours

Professional development

Descripción de la vacante

Placements24 is seeking a Remote AI Platform Engineer to design, build, and maintain scalable AI infrastructure. You will work with AWS/Azure/GCP, Docker, Kubernetes, and CI/CD pipelines to support AI models and applications in a distributed, asynchronous environment.

You will collaborate with data scientists and ML engineers, optimize resources, and implement MLOps practices while ensuring security and compliance across the platform.

Formación

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• Experience building and maintaining cloud-based AI/ML infrastructure.
• Hands-on with AWS, Azure, or GCP and AI/ML services.
• Proficient with Docker and Kubernetes.
• Experience with CI/CD tools and practices.

Responsabilidades

• Design, develop, and maintain scalable and reliable AI/ML infrastructure and platforms.
• Implement and manage CI/CD pipelines for AI model development and deployment.
• Optimize cloud resources for performance and cost-efficiency.
• Utilize containerization technologies to manage AI workloads.
• Develop and enforce MLOps best practices for model lifecycle management.
• Collaborate with data scientists and ML engineers to understand infrastructure needs.
• Monitor system performance and proactively troubleshoot issues.
• Contribute to automation of infrastructure provisioning and management tasks.
• Ensure security and compliance of the AI platform.

Conocimientos

Cloud platforms experience

Docker & Kubernetes

CI/CD tooling

Scripting (Python/Bash)

Agile / remote collaboration

Strong problem solving

Educación

Bachelor's degree in CS/Engineering

Herramientas

Terraform

Ansible

Jenkins

GitHub Actions

GitLab CI

Descripción del empleo

About the Role

Our client is at the vanguard of AI innovation and is seeking a talented Remote AI Platform Engineer to join their globally distributed team. This is a fully remote position, allowing you to contribute from anywhere. You will be responsible for designing, building, and maintaining the robust and scalable infrastructure that powers our cutting-edge AI models and applications. This role involves working with a variety of cloud technologies, containerization platforms, and MLOps best practices to ensure our AI platforms are reliable, efficient, and accessible. If you are a proactive engineer with a passion for building and optimizing infrastructure for AI workloads, this remote opportunity is ideal for you. We are looking for individuals who excel in self-management and thrive in a distributed, collaborative environment.

Key Responsibilities

• Design, develop, and maintain scalable and reliable AI/ML infrastructure and platforms.
• Implement and manage CI/CD pipelines for AI model development and deployment.
• Optimize cloud resources (AWS, Azure, or GCP) for performance and cost-efficiency.
• Utilize containerization technologies (Docker, Kubernetes) to manage AI workloads.
• Develop and enforce MLOps best practices for model lifecycle management.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs.
• Monitor system performance, troubleshoot issues, and implement solutions proactively.
• Contribute to the automation of infrastructure provisioning and management tasks.
• Ensure the security and compliance of the AI platform.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Proven experience in software engineering, with a strong focus on infrastructure and cloud platforms.
• Hands-on experience with cloud providers (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in containerization technologies such as Docker and Kubernetes.
• Experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions).
• Familiarity with infrastructure as code tools (e.g., Terraform, Ansible).
• Understanding of MLOps principles and best practices.
• Strong scripting skills (e.g., Python, Bash).
• Excellent problem-solving and communication skills, with the ability to work effectively in a remote setting.
• Experience working in agile development environments.

Benefits

• As a fully remote employee, you will receive a highly competitive salary and a comprehensive benefits package, including health insurance, retirement contributions, and performance bonuses.
• We champion work-life balance, offering generous paid time off and flexible working hours.
• You will have the opportunity to work on exciting and challenging projects with a talented international team, utilizing the latest technologies.
• Professional development is supported through online courses, certifications, and virtual conferences.
• Join our innovative and growing company, and help shape the future of AI platforms from the comfort of your home.