Posted at: 24 January
Principal Architect
Company
Weekday AI
Weekday AI is a Bengaluru-based recruitment SaaS platform specializing in AI-driven talent sourcing for B2B clients in the recruitment and HR tech industry, primarily serving the US and Indian markets.
Remote Hiring Policy:
Weekday AI offers remote work opportunities primarily for candidates located in India, with team members based in Bengaluru. Collaboration may occur across time zones, particularly within the Indian time zone (UTC+5:30).
Job Type
Full-time
Allowed Applicant Locations
India
Salary
₹6,000,000 to ₹8,000,000 per year
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.
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