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Principal Architect at Weekday AI

, , India -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

8000000.0

Posted On

25 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

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

Industry

technology;Information and Internet

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. 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

Responsibilities

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.