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Principal Architect

Weekday AI

India Remote permanent

Posted: January 24, 2026

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Quick Summary

Design and implement scalable and reliable machine learning systems for production-grade AI solutions, working closely with cross-functional teams to translate complex problems into robust solutions.

Job Description

This role is for one of the Weekday's clients

Salary range: Rs 6000000 - Rs 8000000 (ie INR 60-80 LPA)

Min Experience: 10 years

Location: Remote (India), Bengaluru

JobType: full-time

This is a senior, hands-on leadership role for a Principal Machine Learning Engineer who will architect, build, and scale end-to-end machine learning systems. The role blends ML architecture, backend engineering, and MLOps, focusing on designing production-grade AI solutions that are reliable, scalable, and impactful. You will work closely with cross-functional teams to translate complex problems into robust ML-driven software systems, with flexibility for remote work or based in Bengaluru.


Requirements:
Key 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

What Makes You a Great Fit

• 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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