Job Title

Company Overview:Battery Smart is India’s largest and fastest-growing battery-swapping network for electric two and three-wheelers. Founded in 2019 and launched in 2020, we are changing the game in the EV sector by making electric mobility accessible, economical, and scalable through a unique partner-led model. Today, we power the journeys of over 1Lakh+ drivers daily through 1,600+ swap stations across India.Role Overview:We are looking for a hands-on Senior Data Scientist / Applied AI Lead to build, deploy, and own business-critical AI and data science systems at Battery Smart.This role goes beyond experimentation—you will work on production-grade ML and Applied AI systems, while also mentoring a team of young analysts/data scientists and shaping our data science culture.Key Responsibilities:- Own end-to-end data science and machine learning solutions across demand forecasting, fraud detection, underwriting, driver behavior analysis, and network optimization. - Design, build, deploy, and monitor time-series, geospatial, statistical, and real-time predictive models in production. - Lead Applied AI and GenAI initiatives, including: - LLM-based applications - RAG (Retrieval-Augmented Generation) pipelines - Embeddings, agent workflows, and decision-support systems - Use cases such as call transcript analysis, ops intelligence, and automated insights - Drive Computer Vision use cases, including face recognition, OCR, misuse/fraud detection, and asset monitoring. - Take complete ownership of projects—from problem definition and data acquisition to deployment and performance tracking. - Mentor and guide junior analysts and data scientists, setting high standards for problem-solving, code quality, and execution. - Work closely with Product, Engineering, Operations, and Leadership to translate ambiguous business problems into scalable AI-driven solutions.Qualifications & Skills:- 4+ years of strong hands-on experience in Python and SQL (PySpark preferred). - Proven experience in building ML models from scratch, including time-series forecasting, geospatial models, statistical modeling, and deep learning. - Practical, production-level experience with LLMs, RAG architectures, and modern AI tooling. - Hands-on exposure to Computer Vision models such as object detection, OCR, and facial recognition. - Experience deploying and maintaining models using Docker and cloud environments (Kubernetes exposure is a plus). - Strong understanding of real-time data processing frameworks and ML pipelines. - Demonstrated ability to solve complex, ambiguous problems in a fast-scaling startup environment. - Strong ownership mindset with experience leading and mentoring teams and collaborating cross-functionally. - Experience working with IoT and geospatial data is a plus.Why this role:- This is not a research-only role—you will build, deploy, and scale AI systems that directly impact revenue, assets, and operational efficiency. - Opportunity to own high-impact AI systems end-to-end in one of India’s fastest-growing EV infrastructure companies. - Play a key role in shaping Battery Smart’s data science and applied AI culture, while mentoring future leaders in the team.