About Swiggy and the Team
Swiggy is India's leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers.. Our Food Data Science team focuses on building and scaling models that power the storefront experience, revenue and growth, and risk and fraud systems across the marketplace. We work on problems spanning search and recommendations, pricing and discounting, ads and monetization, as well as fraud and abuse detection, owning end-to-end ML solutions from problem formulation and experimentation to production deployment and monitoring. Partnering closely with Product, Engineering, Analytics and Business, we design AI-first systems that simultaneously elevate customer experience, drive sustainable growth, and protect the platform’s integrity.
Job DescriptionAbout the Role
As a Staff Data Scientist, you will architect and lead efficient solutions across key domains such as Recommendation, Search, Ads, and Discount Optimization. You will mentor cross-functional teams, review technical architectures and maintain a high standard for holistic solution design. Driving innovation, you will foster a culture of adopting (SOTA) models. Leveraging deep expertise in ML, DL and advancements like GenAI/LLMs, you will guide teams in acquiring new skills and integrating evolving paradigms into production systems.
You will operate as a senior technical leader for the Food charter: shaping problem formulation, influencing product roadmaps, and ensuring our AI systems are robust, low-latency, and business-outcome driven
What You’ll Do
Own and drive the technical roadmap for AI systems across Search, Recommendations, Ads and Discounting, from problem framing to production rollout and post-launch iteration.
Architect end-to-end ML/AI pipelines (data, models, orchestration, evaluation, monitoring) that meet strict constraints on latency, scale, cost and reliability.
Evaluate and introduce SOTA techniques (retrieval/ranking, bandits/RL, causal uplift, GenAI/agents) in a pragmatic, production-ready manner.
Partner with Product and Business to define success metrics, set up robust experimentation, and tie AI investments clearly to business KPIs and ROI.
Provide architectural and design reviews for high-stakes ML systems across the Food charter; set and enforce engineering and MLOps best practices.
Mentor and uplevel Senior/Lead Data Scientists and MLEs; act as a thought partner to leadership on build-vs-buy, platform strategy and multi-year bets.
Represent Swiggy AI in internal and external forums (tech talks, blogs, publications, conferences) and help build the brand for Food AI.
Skills & Experience
Core Technical Skills
Deep expertise in classical ML, representation learning and modern deep learning (e.g., transformers, two-tower/rec models, ranking architectures).
- Search & Recommendations : large-scale retrieval, LTR, multi-stage ranking, vector search, multi objective ranking and personalization.Fine-tuning SLMs/LLMs, building RAG/agentic workflows, conversational or copilot-style systems.
- Ads & Discounting : Bandits/RL for allocation, uplift/causal models, constrained optimization for budgets/pricing.
- Risk/Fraud: graph-based models (e.g., entity graphs, GNNs for fraud rings), classical ML (GBMs, tree ensembles, logistic regression), and deep learning frameworks such as PyTorch/TensorFlow, with hands-on work on encoder/transformer architectures (SLMs, BERT-style models) for representation learning, feature extraction and risk scoring in real-time systems
- Hands-on experience with: Strong system design skills for low-latency, high-throughput ML platforms; fluency with Python, PySpark, PyTorch/TensorFlow, feature stores, vector DBs and modern MLOps.
Architectural & Strategic Skills
Ability to design AI-first systems end-to-end: data contracts, feature pipelines, serving architecture, feedback loops and continuous learning.
Comfort evaluating open-source vs proprietary models/tools, with clear reasoning on cost, risk, scalability and maintainability.
Experience with orchestration / agent frameworks (e.g., LangGraph, CrewAI, AutoGen) and concepts like ontology layers, graph knowledge bases and multi-agent workflows.
Strong product thinking: can connect model capabilities to customer journeys and business KPIs, and influence roadmaps accordingly.
Leadership & Collaboration
Demonstrated experience as a tech lead / staff-level IC, influencing multiple pods or domains.
Ability to mentor and coach senior DS/MLEs, drive technical standards, and create a high-bar culture for experimentation and measurement.
Excellent written and verbal communication; can simplify complex ideas for non-experts and build alignment across Product, Engineering and Business stakeholders.
Bias for action, ownership and comfort working in an ambiguous, fast-paced environment.
Why Join Swiggy?
Opportunity to work on impactful and challenging projects in the AI domain.
Chance to build innovative solutions at scale, directly impacting millions of users.
Collaborative work culture fostering learning, growth, and innovation.
Qualifications
8–12 years of experience in AI/Data Science, with a strong track record of shipping and scaling ML/DL systems in production.
Additional InformationVisit our tech blogs to learn more about some of the challenges we deal with:
The Swiggy Delivery Challenge Part One
How AI at Swiggy is Transforming Convenience
Decoding Food Intelligence at Swiggy
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.
Skills Required
- 8-12 years of experience in AI or Data Science
- Strong track record of shipping and scaling machine learning and deep learning systems in production
- Deep expertise in classical machine learning, representation learning, and modern deep learning
- Experience with large-scale search, retrieval, learning-to-rank, multi-stage ranking, vector search, personalization, or recommendation systems
- Experience with fine-tuning SLMs or LLMs and building RAG or agentic workflows
- Experience with bandits or reinforcement learning, causal uplift models, or constrained optimization
- Experience with graph-based models and fraud or risk modeling
- Hands-on experience with Python, PySpark, PyTorch or TensorFlow, feature stores, vector databases, and modern MLOps
- Strong system design skills for low-latency, high-throughput ML platforms
- Experience designing end-to-end AI systems, including data contracts, feature pipelines, serving architecture, feedback loops, and continuous learning
- Experience with orchestration or agent frameworks such as LangGraph, CrewAI, or AutoGen
- Experience as a technical lead or staff-level individual contributor influencing multiple teams or domains
- Ability to mentor and coach senior data scientists and machine learning engineers
- Excellent written and verbal communication skills
Swiggy Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Swiggy and has not been reviewed or approved by Swiggy.
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Equity Value & Accessibility — Equity grants and recurring liquidity events are ongoing, and feedback suggests office employees value this as part of total compensation. These programs provide a meaningful wealth‑creation lever by India tech standards.
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Parental & Family Support — Gender‑neutral parental policies were expanded with extended leave, flexible/part‑time options, bonding leave, fertility/adoption support, and structured re‑entry. Feedback suggests these updates are viewed as progressive and supportive for caregiving.
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Healthcare Strength — Company‑paid accident insurance for delivery partners includes hospitalization and OPD cover with extensions to family members. This safety net is notable within the gig‑economy context.
Swiggy Insights
What We Do
Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500 cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming a logistics hub of excellence today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. With Swiggy’s New Supply and the recent launches of Swiggy Instamart, Swiggy Genie, and Guiltfree, we are consistently making waves in the market, while continually growing the opportunities we offer our people. *We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.
