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Principal Architect
full-timeIndia$6000k - $8000k

Summary

Location

India

Salary

$6000k - $8000k (INR)

Type

full-time

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About this role

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.

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

Other facts

Tech stack
Machine Learning,Backend Engineering,MLOps,Software Development,ML Architecture,Model Deployment,Lifecycle Management,APIs,Scalable Software Design,Technical Leadership,Architectural Decisions,Problem Solving,Collaboration,Mentoring,CI/CD,Model Monitoring

About Weekday AI

We are a YC-backed recruitment startup. Find select jobs posted by premium YC as well as VC backed startups here. Hand-curated by Weekday team.

Team size: 11-50 employees
LinkedIn: Visit
Industry: Technology, Information and Internet
Founding Year: 2022

What you'll do

  • Architect and lead the development of large-scale machine learning systems and platforms. Collaborate with cross-functional teams to align ML solutions with business needs.

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Frequently Asked Questions

What does Weekday AI pay for a Principal Architect?

Weekday AI offers a competitive compensation package for the Principal Architect role. The salary range is INR 6000k - 8000k per year. Apply through Clera to learn more about the full compensation details.

What does a Principal Architect do at Weekday AI?

As a Principal Architect at Weekday AI, you will: architect and lead the development of large-scale machine learning systems and platforms. Collaborate with cross-functional teams to align ML solutions with business needs..

Why join Weekday AI as a Principal Architect?

Weekday AI is a leading Technology, Information and Internet company. The Principal Architect role offers competitive compensation.

Is the Principal Architect position at Weekday AI remote?

The Principal Architect position at Weekday AI is based in India, India. Contact the company through Clera for specific work arrangement details.

How do I apply for the Principal Architect position at Weekday AI?

You can apply for the Principal Architect position at Weekday AI directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Weekday AI on their website.