Darum lohnt es sich
You will be responsible for designing, implementing, and managing the cloud-based platforms, MLOps tools, and data infrastructure that enable our data science and engineering teams to innovate rapidly.
We are looking for a proactive and experienced engineer who thrives in a distributed team environment and is passionate about creating robust, state-of-the-art AI development environments, serving clients globally from Paarl .
Benefits
• Highly competitive salary commensurate with remote work experience.
• Comprehensive health, dental, and vision insurance coverage.
• Flexible working hours and the ability to work from anywhere.
• Generous allowance for home office setup and professional development.
• Opportunity to work on impactful AI projects with a global team.
About the Role
Our client is seeking a skilled Remote AI Platform Engineer to build and maintain the infrastructure that powers their cutting-edge artificial intelligence initiatives. This fully remote role is crucial for ensuring the scalability, reliability, and efficiency of our AI development and deployment pipelines.
Key Responsibilities
• Design, build, and manage scalable cloud infrastructure for AI/ML workloads (e.g., AWS, Azure, GCP).
• Develop and maintain CI/CD pipelines for machine learning models and applications (MLOps).
• Implement and manage data storage, processing, and warehousing solutions for large datasets.
• Monitor system performance, troubleshoot issues, and ensure the reliability and availability of AI platforms.
• Collaborate with data scientists and ML engineers to optimize workflows and development environments.
Requirements
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Platform Engineer, DevOps Engineer, or similar role, with a focus on AI/ML infrastructure.
• Strong proficiency with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Experience with MLOps tools and practices for model deployment and lifecycle management.
• Excellent scripting and automation skills (e.g., Python, Bash) and strong troubleshooting abilities.
