AI Platform Engineer

About the Role

Our client is looking for a skilled AI Platform Engineer to join their dynamic and fully remote engineering team. This role is central to building and maintaining the robust, scalable infrastructure that powers their advanced AI and machine learning initiatives. You will be responsible for developing and managing MLOps pipelines, ensuring smooth deployment, monitoring, and scaling of AI models. If you have a passion for infrastructure, automation, and enabling cutting-edge AI development, this remote position offers an exciting opportunity to work with a forward-thinking company.

Key Responsibilities

• Design, build, and maintain scalable and reliable AI/ML platforms and infrastructure.
• Implement and manage CI/CD pipelines for model deployment, monitoring, and retraining (MLOps).
• Optimize AI workloads for performance and cost-efficiency on cloud platforms (AWS, Azure, GCP).
• Develop automation tools and scripts to streamline AI development and operational processes.
• Collaborate with data scientists and ML engineers to ensure platform meets their needs.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering, DevOps, or site reliability engineering.
• Experience building and managing MLOps pipelines and infrastructure.
• Proficiency with cloud computing platforms and containerization technologies (Docker, Kubernetes).
• Strong scripting skills (Python, Bash) and familiarity with infrastructure-as-code tools.

Benefits

• Fully remote working arrangement with flexible hours.
• Competitive salary and performance-based bonuses.
• Comprehensive medical, dental, and vision insurance plans.
• Generous professional development budget.
• Opportunity to work on transformative AI infrastructure projects.