Ai-driven After-sales Logistics Operations Lead

Tasks Job Title AI-Driven After-Sales Logistics Operations Lead Data Analytics Location Bengaluru Job Type Full time Department RD IGS About MBRDI Mercedes-Benz Research and Development India MBRDI headquartered in Bengaluru with a satellite office in Pune is the largest R D center for Mercedes-Benz Group AG outside of Germany Our mission is to drive innovation and excellence in automotive engineering digitalization and sustainable mobility solutions shaping the future of mobility Job Summary We are seeking an experienced AI ML professional with a strong understanding of spare parts warehouse operations to design develop and implement machine learning models that enhance forecasting accuracy inventory optimization demand prediction and operational efficiency The ideal candidate will bridge domain knowledge in automotive aftersales logistics with technical expertise in AI ML and data analytics driving digital transformation initiatives in warehouse and supply chain management Key Responsibilities Develop and deploy ML models for Spare parts demand forecasting and inventory optimization Predictive replenishment and stock-out prevention Supplier lead-time and order pattern analysis Anomaly detection for pricing returns and demand spikes Leverage AI techniques NLP computer vision and LLMs for Automated parts identification using image recognition Semantic search across parts catalogs and technical documentation Intelligent chatbot assistants for warehouse or dealer queries Analyze operational data warehouse throughput order lines pick pack times to identify process bottlenecks and recommend data-driven improvements Collaborate cross-functionally with warehouse managers supply chain planners IT and digital transformation teams to implement scalable AI solutions Evaluate and integrate data pipelines from ERP WMS systems SAP Oracle or similar for continuous model improvement and monitoring Prepare dashboards and visualizations using tools like Power BI or Tableau to present insights and recommendations to leadership teams Research and pilot AI-driven automation tools to improve efficiency in spare parts logistics and warehouse management Qualifications Required Qualifications Bachelor s or Master s degree in Computer Science Information Systems Business or a related field 7 years of overall experience including 3 years working with Microsoft Power BI Power Automate and Power Platform Strong knowledge of Power BI Power Automate Power Apps and integration with Microsoft 365 Dynamics 365 and Microsoft Azure tools Experience managing agile hybrid or waterfall project lifecycles Proficient in stakeholder communication risk management and reporting at executive levels Familiarity with governance Center of Excellence CoE frameworks and scalable solution design Preferred Qualifications Microsoft Certified Power Platform Fundamentals or Power Platform Solution Architect Experience in process mining tools e g Celonis Signavio or RPA tools e g Power Automate Desktop UIPath Automation Anywhere Experience in change management and enterprise transformation programs Background in consulting IT services or shared service environments is a plus Technical Skills Strong proficiency in Python SQL and ML libraries TensorFlow PyTorch Scikit-learn Hands-on experience with data wrangling and feature engineering from ERP WMS datasets Knowledge of predictive modeling time-series forecasting and optimization algorithms Familiarity with LLMs and NLP frameworks e g Hugging Face LangChain OpenAI API is a plus Experience integrating AI models with Power BI dashboards or warehouse automation systems Domain Knowledge In-depth understanding of spare parts logistics warehouse operations and aftersales supply chains Experience in SKU segmentation ABC analysis and inventory control principles Familiarity with lead-time management safety stock strategies and warehouse performance KPIs Soft Skills Strong analytical mindset with problem-solving orientation Excellent communication and stakeholder management skills Ability to work in cross-functional and multi-geography environments Why Join Us Be part of a purpose-driven organization that is shaping the future of mobility Work on cutting-edge technologies and global projects Thrive in a collaborative diverse and inclusive environment Access world-class infrastructure and continuous learning opportunities Equal Opportunity Statement At MBRDI we are committed to diversity and inclusion We welcome applications from all qualified individuals regardless of gender background or ability