Staff AI Machine Learning
Swiggy • Bengaluru • Onsite • Full-time • Publish Date:
About the Role
Swiggy is expanding its Software Engineering charter in Bengaluru, India with the addition of a Staff AI Machine Learning. Operating within a on-site operational center in Bengaluru, India, this experienced professional mandate centers on distributed application services and resilient API gateways while strengthening high-throughput data processing engines and customer-facing product modules.
In day-to-day execution, the Staff AI Machine Learning partners closely with product managers, principal architects, and QA automation pods to translate quarterly business priorities into clean, production-hardened code with automated unit and integration test coverage. You will leverage Git, Docker & Kubernetes and Modern Cloud Stacks (AWS/Azure/GCP) alongside core competencies in Machine Learning, System Design, TypeScript / Java / Python, Microservices to maintain high operational rigor.
The Staff AI Machine Learning position at Swiggy (Bengaluru) carries an annual CTC range of ₹9L – ₹15L per annum (approx. ₹75,000 – ₹1,25,000 per month gross), benchmarked to experienced professional standards in Software Engineering.
Key Responsibilities
- Architect, develop, and scale mission-critical software solutions and distributed systems for Swiggy.
- Collaborate with Product Management, DevOps, and QA teams to define scalable architecture patterns.
- Champion engineering excellence through thorough code reviews, unit testing, and continuous deployment.
- Drive performance tuning, latency optimization, and robust API design.
Required Qualifications & Technical Stack
- 3–6 years of hands-on professional experience in relevant domain.
- Bachelor's / Master's degree in engineering or relevant academic discipline.
- Proven track record in driving scalable results, team leadership, and stakeholder management.
- Strong analytical problem-solving capabilities and exceptional communication skills.
Preferred / Bonus Qualifications
- Prior exposure to scaling high-throughput data processing engines and customer-facing product modules within Software Engineering teams in Bengaluru or comparable Indian enterprise hubs.
- Familiarity with automation workflows, Git, Docker & Kubernetes and Modern Cloud Stacks (AWS/Azure/GCP), and modern reporting standards.
- Experience mentoring cross-functional contributors or managing end-to-end delivery SLAs.
Core Technologies & Tools
Machine Learning, System Design, TypeScript / Java / Python, Microservices, REST & GraphQL APIs, Cloud Infrastructure (AWS/GCP/Azure), CI/CD Automation
Salary & Compensation Breakdown
Annual CTC Range: ₹9L - ₹15L / yr • Experience Benchmark: 3 - 6 Years (Mid Level)
Annual CTC is structured between ₹9 Lakhs and ₹15 Lakhs per annum (approx. ₹75,000 – ₹1,25,000/month) based on interview performance, Machine Learning & System Design depth, and 3 to 6 years of progressive experience. Package includes fixed base pay, statutory provident fund, medical insurance, and performance-linked incentives at Swiggy.
Perks & Benefits: Comprehensive Medical Insurance • Flexible Work / Remote Options • Annual Performance Bonus • Learning & Development Stipend • Stock Options / Wellness Benefits
Work Location & Regional Hub — Bengaluru (Onsite)
This Staff AI Machine Learning opening is based in Bengaluru, India under a Onsite work arrangement. Candidates located in Bengaluru or willing to operate from the Bengaluru regional corridor will collaborate directly with Swiggy's Software Engineering unit during standard Indian business hours.
About Swiggy — Company Profile & Details
Swiggy is a verified employer operating within the Software Engineering and enterprise solutions ecosystem with active delivery operations in Bengaluru, India. Known for structured execution across distributed application services and resilient API gateways, Swiggy partners with product managers, principal architects, and QA automation pods to build resilient products, client services, and sustainable career pathways for experienced professional professionals.
Industry / Practice: Software Engineering • Regional Hub: Bengaluru, India, India • Verification: GST & KYC Verified Employer
How to Apply for Staff AI Machine Learning at Swiggy
- Click "Apply Now" on this page and verify your candidate profile, contact details, and updated resume highlighting Machine Learning, System Design, TypeScript / Java / Python.
- Complete the role-readiness screening check confirming your 3 to 6 years of progressive experience and availability for the Bengaluru (Onsite) mandate.
- Shortlisted profiles undergo a structured evaluation with Swiggy's Software Engineering hiring panel focused on clean, production-hardened code with automated unit and integration test coverage and practical problem-solving.
- Final discussion with Swiggy leadership covering role expectations, onboarding timeline in Bengaluru, and the ₹9L – ₹15L / yr compensation package.