Job Description

• Knowledge of homologation documentation and vehicle type approval process with different certifying agencies
• Product knowledge on multiple subsystems including - chassis, mechatronics, electrical and electronics components.
• Knowledge in AI & ML based NLP integration and python automation for data analytics.
• Drawing and Design language interpretation of structures, components and assemblies.
• Design, develop, and deploy machine learning and deep learning models, including NLP solutions, for production‑ready applications.
• Work with large datasets on data preprocessing, feature engineering, model evaluation, and performance optimization
• Product defect investigation, warranty analysis, data analysis, trend analysis and interpretation is an added advantage.
• Experience working on MB and DTNA release management will be an added advantage.
• Knowledge of Python programming and automation skills is added advantage for automation and efficiency improvement
• Good knowledge of Power BI for dash boards .
• Skilled in process documentation aligned with standard requirements.
• Know how in Vehicle recall process for trucks.

• Read, analyze, interpret, summarize, and communicate regulatory language, for safety-related regulations to engineering and project teams
• Regulatory material management for hazardous substances like PFAS, Plastic and rare earth materials.
• TREAD recall process documentation and submitting regulatory information data to government authority.
• Interact with Engineering to plan project work such that vehicles will meet all safety regulatory requirements and to generate necessary documentation, such as test reports, for homologation purposes.
• Provide explanation of test procedure documentation and reporting to departments responsible for engineering and validation.
• Obtain proof of compliance from suppliers, engineering and test for projects as required.
• Generate necessary documentation, such as Recall reports, recall data completion for NHSTA (NAFTA) also including ADR test report for homologation purposes in Australian market.
• Data analysis and handling for data. Automation of topics. Preparation of Dash board.
• Python Automation & knowledge in Power Bi.

• Excellent communication and collaboration skills.
• Education Mechanical/Automotive B.E./B.Tech.
• 5+ years of experience in Automotive/commercial vehicles domain.
• Good understanding of DTNA product portfolio & product life cycle.
• Strong knowledge of CVDS is preferred.
• Good communication & networking skills.
• Good Knowledge in Python, Power Bi, Automation.