Machine Learning Architect
Core
Design and deliver end-to-end Machine Learning solutions, including scalable system architecture, model lifecycle management, and production-grade deployment pipelines for diverse business domains.
Role type
Principal Machine Learning Architect (strategic & hands-on IC)
Builds
Scalable cloud-native ML platforms, reusable reference architectures, and production ML/data pipelines
Domain
Advanced analytics consulting, Fortune 500 clients, cloud-native ML systems
Deliverable
production ML models | infrastructure
Required skills
System design for ML/AI, MLOps lifecycle management, Cloud platform architecture (AWS/GCP/Azure), Python programming, CI/CD for ML, Model observability, Containerization and orchestration
Preferred skills
None stated
Technologies
Python, scikit-learn, TensorFlow, PyTorch, MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, AWS, Azure, GCP
Responsibilities
Design system architecture for ML/AI solutions, Lead high-level design choices for model serving and data pipelines, Architect scalable cloud-native platforms for training and deployment, Build reusable components for the ML lifecycle, Enforce best practices in model versioning and testing, Deploy and manage ML pipelines in production, Work on containerization and orchestration solutions, Collaborate with cross-functional teams to implement MLOps best practices
Seniority
Principal, strategic & hands-on IC