AI Lead Battery & Power Electronics | Sales Automation, DMS & Retail Apps | Supply-Chain Forecasting & Voice AI

We are hiring for seasoned AI Lead with 8-12 years of total experience at the intersection of battery and power-electronics products and intelligent software systems. Deep domain knowledge of rooftop/home energy & inverter ecosystems, dealer management systems (DMS), retailer/ecommerce platforms, and after-sales service operations. Proven track record of designing and delivering ML-driven demand forecasting, inventory optimization, and voice-agent solutions for inbound/outbound customer engagement. Solid collaborator across product, engineering, sales, and operations with hands-on experience deploying production ML pipelines and MLOps in SaaS environments.

Core competencies

- Domain: Batteries, inverters, UPS, power-electronics product lifecycle and channel operations
- Sales systems: Dealer Management System (DMS), retailer apps, ecommerce integrations, channel analytics
- Supply chain & planning: Demand forecasting, SKU-level planning, safety stock & reorder policies, vendor-managed inventory
- ML & data engineering: Time-series forecasting (ARIMA, Prophet, LSTM, Transformer forecasting), probabilistic forecasting, feature engineering for seasonality/campaigns
- Optimization: Inventory optimization, EOQ, multi-echelon inventory, cost-service tradeoff modeling
- Voice & service AI: Conversational IVR, agentic voice bots, predictive dialers, call routing, speech-to-text & intent detection
- MLOps & infra: Data pipelines, model retraining, CI/CD for models, monitoring and explainability (SHAP, LIME)
- Product & stakeholder: Roadmaps, KPI design (fill-rate, OTIF,



churn, AHT), cross-functional leadership
- Tools & languages: Python, SQL, TensorFlow/PyTorch, Airflow/Kedro, Docker/Kubernetes, AWS/GCP, Twilio/Genesys integrations

Define AI product strategy for channel sales and after-sales service, aligning ML roadmap to business KPIs (fill rate, dealer NPS, service SLAs).

Architect and deliver end-to-end demand forecasting platform: data ingestion from ERP, promotions calendar, weather and installation schedules; model training (ensemble of gradient-boosted trees and LSTM); evaluation and deployment via CI/CD.

Design and implement multi-echelon inventory optimization algorithms, producing replenishment plans and safety stock guidelines integrated into the ERP and dealer portal.

Lead product team to build Dealer Management System features: dealer onboarding workflows, credit-management tooling, order tracking, and performance analytics.

Create retailer-facing mobile/web applications providing order placement, stock visibility, and campaign push notifications; instrumented for analytics and A/B testing.

Lead voice AI program for inbound/outbound agentic calling: define call flows, build NLP intent classifiers, integrate with telephony (SIP/Twilio) and CRM for callbacks and case creation.

Establish ML governance: model versioning, monitoring (data and prediction drift), model explainability for stakeholders, and regular retraining cadence.

Mentor data scientists and engineers; coordinate with supply chain, sales ops, and customer service to operationalize ML outputs.

Education & certifications

- B.E./B.Tech./M.Tech/M.S. in Electrical Engineering / Data Science / AI

📌 AI Lead (New Delhi)
🏢 OKAYA
📍 New Delhi