The Principal Machine Learning Architect is accountable for defining and governing end-to-end ML architectures that enable scalable, secure, and responsible AI solutions across the enterprise
Job Summary
The Principal Machine Learning Architect is accountable for defining and governing end-to-end ML architectures that enable scalable, secure, and responsible AI solutions across the enterprise.
This role translates complex business and scientific use cases into implementable ML architectures covering data, feature engineering, model development, deployment, monitoring, and lifecycle management.
The successful candidate will embed Responsible AI principles, data privacy, and security controls into ML architectures by default while mentoring senior engineers to raise architectural maturity.
Matching Summary
The Principal Machine Learning Architect is accountable for defining and governing end-to-end ML architectures that enable scalable, secure, and responsible AI solutions across the enterprise.
Skills & Requirements
Must-have
End-to-end ML architecture design
Azure cloud-native ML solutions
Generative AI and LLM patterns
MLOps and CI/CD for ML
Python, SQL, Spark programming
Responsible AI and security governance
Scalable RESTful API deployment
Nice-to-have
Experience in regulated high-risk environments
Multi-domain ML expertise including NLP and CV
Enterprise data platform familiarity
Leadership without line management responsibility
Key Requirements
10+ years experience in data, analytics, or engineering
Master's degree in Computer Science, Data Science, or related field
Proven experience at Principal or Architect level
Deep expertise in time series, segmentation, and Bayesian Regression