Experience
6 - 9 yrs
Salary (CTC)
₹46.1L - ₹68.6L
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Data Scientist
Job Type
Not specified
Job Description
Job Role : Senior Data Scientist
Experience Required : 6 9 years
Location : Bangalore | Karnataka
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-tuning Encoder 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.
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
No Referrers Available
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