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Engineering
47 days ago

ML Engineer - Search

Zepto · Bangalore
This job has been flagged as a Not American
Pay
$15k–235k
Setting
On-site
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IH Instahyre Loading... Find your dream job with Instahyre Unlock limitless career opportunities with lakhs of job openings in 10,000+ top companies. INVITE FRIENDS FIND JOBS LOGIN SIGNUP EMPLOYERS Zepto at a glance Founded in 2021 More than 1000 Employee reviews Overall 3.7 Work-Life Balance 2.8 Salary and Benefits 3.8 Company Culture 3.3 Career Growth 3.6 Diversity and Inclusion 3.8 Will Recommend to Friends 3 ML Engineer - Search Zepto Bangalore4-7 Years Apply to Zepto Apply to Zepto About Zepto Our Story Founded in 2021 by Aadit Palicha and Kaivalya Vohra, Zepto is on a mission to save you time making every second count towards life's real joys. Our platform has revolutionized rapid commerce in India with cutting-edge technology and strategically optimized delivery hubs. Zepto offers an extensive range of 45,000+ products, from fresh groceries to electronics, beauty essentials, apparels, toys and more, delivering across 50+ cities in minutes*. Zepto Caf extends our commitment to convenience, featuring a curated menu of over 200 fresh items. Engineering @ Zepto Building for scale, rapid iterative development, and customer-centric product thinking at each step define every day for a Zepto engineer. If building technology that impacts millions, brainstorming with some of the best minds in the country, executing at lightning speed, product-driven thinking, and owning your work from start to finish excites you, then Zepto is the right place for you. Job Description Function: Data Science and Analysis → Data Science / Machine Learning ML NLP machine learning natural language processing search Requirements: Strong experience in NLP, Recommender Systems, and Machine Learning algorithms (classification, regression, clustering, anomaly detection, pattern recognition techniques, deep learning, LLMs/RAG/Agentic AI). Hands-on experience building ML systems for Search & Personalisation use cases (AI-powered product search based on lexical search, semantic search, learning-to-rank algorithms, and recommendation systems). Deeper understanding of Transformer architecture, BERT and other embedding models for information retrieval techniques. Advancements in Large Language Models and Generative Modelling. Experience building deep learning models for next-purchase and next-basket recommendation (e. g., sequential/session-based recommenders based on next-purchase prediction) to personalise what and when customers are likely to buy next. Key Technical Skills: Languages & Frameworks: Python; PyTorch/TensorFlow; NLTK, transformer-based embedding models (BERT and similar). Search & Retrieval: Lexical and semantic search, vector/ANN search, learning-to-rank algorithms and recommendation system design. ML Techniques: Classification, regression, clustering, anomaly detection, pattern recognition, deep learning, knowledge graphs, and LLMs/RAG/Agentic AI. Experience designing and building agentic workflows (multi-step reasoning, planning, tool-use, and orchestration) for product search and personalisation use cases. Hands-on experience with memory handling and context management at scale, including short-term/session memory and long-term user memory to support coherent, personalised agentic experiences across sessions. Experience integrating personalisation signals (user preferences, purchase history, intent) into agentic product search pipelines, enabling agents to retrieve, re-rank, and respond with results tailored to the individual user. Familiarity with techniques for managing large-scale context (context window optimisation, retrieval-augmented context injection, state/session management) across multi-turn, multi-agent interactions in production systems. Preferred Skills: Experience designing and deploying ML solutions at large scale (billions of records). Experience leveraging parallel processing techniques (multithreading, multiprocessing, distributed computing) to build high-performance, scalable machine learning pipelines and optimise large-scale data processing workloads. Exposure to OpenSearch, ElasticSearch or Solr will be an added advantage. Familiarity with real-time data streaming technologies such as Kafka, Flink, etc. Understanding of the fundamentals of data governance, fairness, and ethical AI principles. Required Qualifications: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or equivalent practical experience. 3-6 years of relevant experience building large-scale ML systems. Zepto Office and Product Photos Job posted by Kavita Kaushik Admin at Fxconsulting Similar jobs ML Engineer Reliance Group Bangalore Research Engineer PocketFM Bangalore AI Engineer Arintra Bangalore Data Scientist Amazon Bangalore ML Engineer Nightfall Bangalore AI Product Manager - ML PhonePe Bangalore AI Engineer IV Flipkart Bangalore Applied AI Engineer SpotDraft Bangalore ML Engineer Tekion Bangalore ML Engineer Microsoft Bangalore Jobs by Location Jobs in Bangalore Jobs in Delhi / NCR Jobs in Hyderabad Jobs in Mumbai Jobs by Function Software Engineering Jobs Marketing Jobs Sales Jobs Internship Jobs For Employers Post Your Jobs Success Stories Product Academy Resources Instahyre Workscape About Privacy Terms Connect Help Center Contact Us
Listed by Zepto for a position based in the United States. Employers on this board attest they are hiring domestically.