Join Our Innovative Team as a Principal AI Engineer at G-P!

At G-P, our mission is to simplify global business and open opportunities for everyone, everywhere. We operate with a remote-first, diverse team across the globe, committed to providing flexibility, autonomy, and endless growth possibilities for our employees. Our leading SaaS-based Global Employment Platform™ allows companies to expand into 180+ countries smoothly and efficiently. We’re dedicated to enhancing work/life opportunities worldwide through innovative technical solutions.

We’re looking for a passionate Principal AI Engineer who thrives on working with AI and MLOps, eager to tackle complex problems and drive positive outcomes globally. If you’re a deep innovator with a desire to design and develop cutting-edge cloud-based software products, G-P offers the perfect environment to turn your smartest ideas into reality.

Join us at G-P, where your contributions lead directly to the creation of opportunities. Embrace the chance to stretch your skills and see your best innovations come to life—apply today!

Key Responsibilities:

• Lead the design and implementation of sophisticated AI solutions, emphasizing efficient cloud computing and MLOps practices.
• Coordinate with data scientists and AI experts to ensure scalable, efficient deployment of machine learning models and AI applications.
• Architect and manage cloud infrastructures focusing on cost efficiency, security, and compliance in line with MLOps best practices.
• Enhance automation, developing scripts and CI/CD pipelines to refine MLOps strategies for seamless AI system operations.
• Proactively monitor AI application performance to ensure high availability and optimal resource use.
• Stay ahead of AI industry trends, integrating innovative tools and practices to boost our technical capabilities.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with 5+ years in cloud engineering and AI deployment.
• Proven expertise in AWS cloud solutions, Terraform, and Python programming.
• Comprehensive experience with Docker and other container technologies.
• Demonstrated ability to design and implement effective MLOps architectures at scale.
• Strong leadership capabilities, adept at mentoring teams and leading complex projects.

Preferred Qualifications:

• Advanced certifications in cloud technology and MLOps.
• Knowledge of Kubernetes Controllers and deep neural networks.
• Proficiency in machine learning algorithms with experience in data pipelining and handling data drift.

About Us:

G-P empowers growth-oriented companies to build skilled global teams quickly and compliantly through our powerful SaaS platform. As an Equal Opportunity Employer, we foster a diverse, inclusive culture free from discrimination. Here, global possibilities are made easy.

If you need accommodations during the interview process due to a disability, please reach out to [email protected].

Ready to redefine global employment and technological boundaries? Apply now to become a pivotal part of G-P: Global Made Possible!