Description

Lead the design and architecture of scalable AI platforms to deploy machine learning and deep learning solutions in Charlotte, NC.

Responsibilities

• Architect scalable AI platforms and drive joint design with stakeholders, data scientists, and engineering teams.
• Define and implement AI/ML architecture best practices, frameworks, and standards.
• Lead infrastructure setup, including cloud services selection, data pipelines, and model deployment.
• Optimize AI/ML workflows for performance, cost efficiency, and resource utilization.
• Design data governance, security, and compliance measures for production environments.

Required Skills

• 5+ years of experience as an AI/ML platform architect.
• Expertise in Google Cloud Platform (GCP) and its AI services.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-Learn.
• Proficiency with containerization and orchestration using Docker and Kubernetes.
• Experience with AKS, GKE, or OpenShift Container Platform.
• Strong knowledge of the model development life cycle and software engineering principles.
• Ability to design and optimize distributed computing systems for AI/ML workloads.
• Familiarity with DevOps practices and CI/CD pipelines in AI/ML contexts.

Preferred Skills

• Deep understanding of ML algorithms and Deep Learning architecture.
• Experience providing technical leadership and mentorship to AI/ML development teams.

Key Skills

Education

Any Graduate