Senior AI/ML Engineer - Remote Cloud Infrastructure

About the Role

Our client is a global leader in cloud-based AI solutions and is actively seeking a Senior AI/ML Engineer to join their fully remote team. This role is dedicated to building, scaling, and optimizing the cloud infrastructure that powers our client's cutting-edge machine learning models and applications. You will be instrumental in designing and implementing robust, efficient, and secure MLOps pipelines, ensuring seamless deployment and operation of AI services. This is a unique opportunity for an experienced engineer to work on highly scalable systems from anywhere, contributing to the foundational technology of advanced AI. The ideal candidate possesses deep expertise in cloud computing, containerization, CI/CD, and machine learning infrastructure.

As a fully remote employee, you will benefit from a flexible work environment while collaborating with a distributed team of top-tier engineers and data scientists.

Key Responsibilities

• Design, build, and maintain scalable and reliable cloud infrastructure for AI/ML workloads on platforms like AWS, Azure, or GCP.
• Develop and manage CI/CD pipelines for automated model training, testing, and deployment (MLOps).
• Implement and manage containerization technologies such as Docker and Kubernetes.
• Optimize infrastructure performance, cost, and security for machine learning applications.
• Develop automation scripts and tools to streamline infrastructure operations.
• Monitor system health, performance, and security, and respond to incidents.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide support.
• Stay abreast of emerging cloud technologies and MLOps best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in cloud infrastructure engineering, with a strong focus on AI/ML platforms and MLOps.
• Extensive experience with major cloud providers (AWS, Azure, or GCP) and their services relevant to ML.
• Proficiency in containerization technologies (Docker, Kubernetes).
• Strong experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, GitHub Actions).
• Expertise in infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Solid programming skills in Python or Go.
• Understanding of machine learning workflows and common ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Excellent communication and collaboration skills for a remote work environment.

Benefits

• This fully remote position offers a highly competitive salary and bonus structure, along with comprehensive health, dental, and vision insurance.
• Employees benefit from a flexible work schedule, generous paid time off, and opportunities for continuous professional development, including conference attendance and online courses.
• Our client fosters a culture of innovation, collaboration, and employee well-being.
• You will work on impactful projects that push the boundaries of AI infrastructure and have the autonomy to make significant technical contributions.
• Stock options may be offered to eligible employees.