Principal Architect
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Job Description
Principal Architect leading the development of large-scale machine learning systems for Weekday’s client. Architecting, building, and scaling end-to-end ML systems with cross-functional collaboration.
Responsibilities:
- Architect and lead the development of large-scale machine learning systems and platforms
- Design and implement backend services that support ML model training, deployment, and inference
- Build and maintain MLOps pipelines for model versioning, monitoring, CI/CD, and retraining
- Ensure reliability, scalability, and performance of ML systems in production environments
- Collaborate with product, data, and engineering teams to align ML solutions with business needs
- Drive best practices in software engineering, ML architecture, and system design
- Mentor senior engineers and influence technical direction across teams
Requirements:
- 10–14 years of experience across machine learning, backend engineering, and software development
- Strong expertise in designing production-ready ML architectures and platforms
- Hands-on experience with MLOps, model deployment, and lifecycle management
- Solid background in backend systems, APIs, and scalable software design
- Ability to lead technically, make architectural decisions, and solve complex problems
- Comfortable working in high-impact, senior-level roles with ownership and autonomy
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