Build and deploy advanced retail-focused ML solutions across recommendations, customer lifecycle analytics, pricing, supply chain forecasting, and store operations. Develop personalization, dynamic pricing, demand forecasting, CV-based store intelligence, and reusable ML platform components (feature stores, inference systems, causal models) to optimize acquisition, retention, margins, inventory, and fulfillment.
This role is for one of the Weekday's clients
Min Experience: 1+ years
Location: Bengaluru, Mumbai
JobType: full-time
Requirements
1. Customer, Growth & Commerce Intelligence
- Search, ranking, recommendations, and personalization
- Customer profiling, segmentation, lifetime value (LTV), churn analysis, and loyalty programs
- Optimization of acquisition, engagement, retention, and customer lifecycle
- Evaluation of marketing effectiveness, attribution, uplift, and experimentation
2. Monetization, Pricing & Promotions
- Dynamic pricing strategies and markdown optimization
- Assessment of promotion effectiveness and personalization of offers
- Ad relevance, bidding intelligence, and performance measurement
- Optimization of margins and revenue intelligence
3. Supply Chain, Planning & Availability
- Large-scale demand planning and forecasting
- Inventory management, replenishment, and allocation optimization
- Network planning, sales & operations planning (S&OP), and fulfillment intelligence
- Optimization of product availability, selection depth, and service levels
4. Store, Operations & Physical Retail Intelligence
- Enhancing store efficiency, labor optimization, and compliance monitoring
- Planogram analytics and assortment effectiveness
- Intelligence derived from computer vision, video, and sensor data
- Prevention of shrinkage, fraud, and loss
5. Platform, Automation & Next-Generation AI
- Embedding intelligent decision engines into workflows
- Agentic systems for automated planning, execution, and monitoring
- Modeling based on causal inference, simulations, and digital twins
- Reusable machine learning platforms, feature stores, and inference systems
Retail recommendations
Good-to-have skillsPyTorch, TensorFlow, XGBoost
Similar Jobs
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
As a Lead Software Engineer, you will scale Coupa platforms, collaborate across teams, and develop new concepts while leading software development efforts.
Top Skills:
MicroservicesMySQLReactRest ApisRuby On Rails
Fintech • Information Technology • Financial Services
As an Associate Backend Engineer, you'll enhance backend applications, build APIs, and support production stability while collaborating across teams.
Top Skills:
Ci/CdGitJava 11+KafkaMicroservicesRedisRest ApisSpring BootSQL
Fintech • Information Technology • Financial Services
The role involves managing accounts receivable functions, preparing invoices, ensuring prompt collections, reconciling ledgers, and developing automated processes within the Management Company Accounting team.
Top Skills:
MS OfficeWorkday
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.


