AI/ML Engineer SME

📋 Description

• Define, document, and maintain scalable, modular AI/ML architectures aligned with enterprise cloud
• Architect and implement end-to-end machine learning pipelines covering data ingestion, feature
• Apply MLOps best practices to enable continuous integration, delivery, deployment, and lifecycle
• Design multi-tenant and multi-region AI/ML workloads that are elastic, highly available, secure
• Use Infrastructure-as-Code tools to provision and manage cloud-based AI/ML infrastructure in
• Design and support reusable, secure, and high-performance AI/ML services and APIs for integration

🎯 Requirements

• 15+ years of specialized experience in information systems or a related technical discipline, with
• Bachelor's degree or equivalent required; a master's degree in a related field is preferred.
• Demonstrated success architecting and deploying machine learning workflows in cloud environments
• Hands-on experience with machine learning and deep learning frameworks including TensorFlow
• Strong Python programming skills and experience using Docker and Kubernetes for machine learning
• Experience with MLOps technologies such as MLflow, Kubeflow, TFX, or Airflow and integrating them

🎁 Benefits

• $195,240–$264,148 estimated annual salary range
• Fully remote work environment within the United States
• 40-hour standard workweek
• Less than 10% travel required
• Comprehensive medical plan options, including plans with Health Savings Accounts
• Dental and vision coverage