Job Role: Senior Data Scientist
Experience Required: 6–9 years
Location: Bangalore | Karnataka
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.
TheFood-DS team works at the intersection of machine learning, advanced
architecture, and applied research to shape AI-first systems that directly
impact customer experience and business growth. The team values
cross-functional collaboration, open sharing of ideas, and innovation to roll
out machine learning and AI solutions at scale. Bring your expertise in making
a tangible business impact by bringing your expertise in building scalable
machine learning systems and leading next-generation Generative AI and Agentic
AI initiatives.
About the role
As a Senior Data Scientist, you will lead the design and implementation of
Swiggy’s core Machine Learning (ML), Deep Learning (DL), and next-generation AI
systems. This role requires deep-rooted expertise in classical ML, DL,
Large-scale Search, and Recommendation Systems. You will act as a hands-on
technical leader, balancing the deployment of cutting-edge systems with
influencing business KPIs to enhance the customer experience.
What Qualities Are We Looking For?
Technical Expertise
* Experience: 6–9 years in AI/Data Science, with a proven track record of
deploying models in production.
* NLP: Hands-on experience with transformer-based open-source SLMs and
fine-tuningEncoder models (e.g., Nomic, RoBERTa, GTE etc.,) for specialized
tasks.
* Search & RecSys: Deep expertise in building and scaling Large-scale Search
systems, Ranking (Learn to Rank), and Recommendation engines using ML/DL,
productionized conversational bots
* Computer Vision & Multimodal: Deep understanding of Classical Computer
Vision (OCR, segmentation, filtering) and modern Image Understanding models
(CLIP, ViT). Hands-on experience with stable diffusion models is preferred.
* GenAI & Agents: Fine-tuning SLMs, training SLM/LLM from scratch,
understanding of SOTA LLM models and capabilities, Multi-agent workflows (e.g.,
LangGraph, CrewAI, AutoGen), and AI-native "Co-pilot" architectures.
* Engineering Excellence: Strong system design skills for low-latency,
high-throughput platforms.
* Experience with Vector DBs, Graph Knowledge Bases, and service layer
architectures.
* Proficiency in coding skills with prior experience in Pyspark, Python,
Tensorflow, Torch and version control systems.Strategic & Product Thinking
* Optimization: Ability to evaluate trade-offs between proprietary LLMs vs.
fine-tuned open-source models regarding cost, latency, and accuracy.
* ROI Focus: A "Founder Mentality" that connects model performance to
business KPIs and customer experience.
* Collaboration: Experience partnering with Product Managers to translate
complex workflows into technical roadmaps.
* Expertise in evaluating build-vs-buy options and supporting recommendations
with logical explanations.
What Will You Do?
* Architect Hybrid Systems: Build systems that leverage both Generative AI
(Agents/LLMs) and traditional ML (Ranking/Search) to solve complex search and
discovery problems.
* Scale High-Performance Models: Design and train large-scale Machine
Learning and Deep Learning models for Swiggy’s recommendation and ranking
pipelines.
* Innovation & Benchmarking: Stay ahead of the curve by benchmarking emerging
trends and contributing to the global AI community through research or blog
publications.
* Cross-functional Leadership: Lead end-to-end projects from problem
statements to production, ensuring scalable and cost-effective AI deployments.
Why Join Swiggy?
* Impact at Scale: Your models will directly influence the experience of
millions of users daily.
* Cutting-Edge Stack: Work with the latest in Agentic AI, Vector Search, and
distributed ML.
* Innovation-First Culture: A collaborative environment that encourages
risk-taking, quick deployments and continuous learning. Collaborate with
engineering, product, analysts, and business stakeholders to define workflows,
address bottlenecks and be part of end to end product development.Product
Knowledge:
* Strong curiosity and empathy for end-user personas.
* Demonstrates end-to-end product thinking beyond model performance.
* Ability to connect AI capabilities with business KPIs while ensuring ROI on
AI investments.
* Experience working closely with Product Managers to identify workflows and
bottlenecks, collaboratively defining roadmaps.Communication and Leadership:
* Demonstrates the ability to act as a thought partner to product managers
and stakeholders.
* Exceptional written and verbal communication skills to align
cross-functional teams on objectives, deliverables, and methodologies.
* Thrives in a fast-paced environment with a "Founder Mentality" to move
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability status, or any other characteristic protected by the law
