Machine Learning Architect
Core
Lead the design and implementation of scalable AI and ML solutions across modern cloud data platforms, combining architecture, engineering, and strategic leadership.
Role type
Senior Machine Learning Architect
Builds
Enterprise-scale machine learning capabilities and production-ready AI solutions
Domain
Cloud data platforms, MLOps, AI governance
Deliverable
production ML models
Required skills
Databricks, Apache Spark, Python, SQL, MLOps, ML lifecycle management, distributed ML systems, feature engineering, model deployment patterns, data architecture, scalable ETL/ELT, orchestration frameworks
Preferred skills
LLMs, vector databases, RAG, AI agents
Technologies
Databricks, Apache Spark, Python, SQL, Apache Airflow, AWS, Azure, GCP, Unity Catalog, Delta Lake
Responsibilities
Define and lead architecture for scalable ML/AI platforms; Design end-to-end ML workflows including feature engineering, training, experimentation, deployment, and monitoring; Architect scalable data pipelines for AI/ML workloads; Establish MLOps best practices including CI/CD, versioning, governance, automated retraining, and observability; Design secure and compliant AI architectures; Partner with Data Engineering to optimize data models and feature stores; Guide Data Scientists and ML Engineers on scalable production design patterns; Drive cost optimization and operational excellence across ML platforms; Define reference architectures and best practices across multiple ML teams.
Seniority
Senior, hands-on IC with strategic leadership
