Job Title: AI-Driven After-Sales Logistics Operations  (Data & Analytics)  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 deep expertise in spare parts warehouse operations to design, develop, and implement machine learning models that improve forecasting accuracy, inventory optimization, demand prediction, and overall operational efficiency.

The ideal candidate will bridge domain knowledge in automotive aftersales logistics with technical expertise in AI, ML, data analytics, and automation tools to enhance efficiency in warehouse/supply chain operations.

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.
• Design and deploy automation scripts using Python, SQL, or RPA tools to eliminate manual processes and enhance system integration efficiency.

Required Qualifications:

·       Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Business, or a related field.

·       7+ years of overall experience, including at least 3 years specializing in Artificial Intelligence/Machine Learning development and working with Microsoft Power Platform (Power Automate, Power BI, Power Apps)

·       Proven experience in designing and developing chatbots/AI assistants integrated with databases for user interaction and process automation.

·       Hands-on experience creating automation scripts or workflows to optimize manual data processes using tools such as Python (Pandas, OpenPyXL), Power Automate, or UiPath.

·       Strong knowledge of Power BI, Power Automate, Power Apps, and integration with Microsoft 365, Dynamics 365 and Microsoft Azure tools.

·       Strong proficiency in Python, with experience using ML libraries such as TensorFlow, PyTorch, and Scikit-learn.

·       Proven Experience with LLMs and NLP frameworks (Hugging Face, LangChain, OpenAI API) is a plus.

·       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 (Nice to have)

·       Microsoft Certified: Power Platform Fundamentals or Power Platform Solution Architect.

·       Experience with process mining (Celonis, Signavio)

·       Experience in change management and enterprise transformation programs.

Technical Knowledge

·       Experience integrating AI models and SQL data pipelines with BI dashboards or warehouse automation systems.

·       Knowledge of predictive modeling, time-series forecasting, and optimization algorithms.

·       Strong analytical and problem-solving skills, with excellent communication and the ability to work well across teams and regions.

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

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.