AI Platform Engineer

About the Role

Our client is seeking a talented and experienced AI Platform Engineer to join their distributed engineering team, working entirely remotely. You will be responsible for building and maintaining the scalable infrastructure and tools that power our AI and machine learning initiatives. This role is crucial for ensuring the efficiency, reliability, and accessibility of our AI platforms, enabling data scientists and ML engineers to develop and deploy models seamlessly. Join a forward-thinking company that values remote work, collaboration, and continuous improvement, where you can make a significant impact on the cutting edge of AI technology.

Key Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML workloads.
• Develop and maintain CI/CD pipelines for machine learning models and AI applications.
• Build and automate tools for data management, model training, and deployment (MLOps).
• Ensure the performance, security, and reliability of the AI platform.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 4+ years of experience in software engineering or infrastructure engineering, with a focus on AI/ML platforms.
• Proficiency in cloud platforms like AWS, Azure, or GCP, and related services.
• Experience with containerization technologies (Docker, Kubernetes) and infrastructure-as-code tools (Terraform, Ansible).
• Strong understanding of MLOps principles and tools for managing the ML lifecycle.

Benefits

• Competitive salary and comprehensive benefits.
• Fully remote working environment with flexible hours.
• Support for home office setup and professional development.
• Opportunities to work on cutting-edge AI infrastructure projects.
• A collaborative and supportive remote team culture focused on innovation and growth.