Artificial Intelligence & Machine Learning Architect SME

📋 Description

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

🎯 Requirements

• Bachelor's degree or equivalent required in a relevant field; a master's degree in a related
• 15+ years of specialized information systems experience, or an equivalent combination of education
• Demonstrated experience architecting and deploying machine learning workflows in cloud environments
• Strong hands-on knowledge of ML/DL frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost
• Advanced Python programming skills, along with experience using Docker and Kubernetes for
• Practical experience with MLOps technologies such as MLflow, Kubeflow, TFX, or Airflow and

🎁 Benefits

• Competitive compensation: Estimated salary range of $195,240–$264,148 annually, depending on
• Remote work: Fully remote position with full-time hours of approximately 40 hours per week.
• Flexible work environment: Full-flex work weeks where operationally feasible.
• Healthcare: Multiple medical plan options, including plans with Health Savings Accounts, plus
• Retirement: 401(k) plan with company matching and pre- and post-tax contribution options.
• Paid time off: Vacation, sick, personal, holiday, parental, military, bereavement, and jury-duty