Lead Engineer

5 days ago

Chennai, Tamil Nadu, India Mahindra & Mahindra Limited Full time ₹ 12,00,000 - ₹ 50,00,000 per year
Responsibilities & Key Deliverables
Key Tasks and Deliverables
  • Analyze and interpret vehicle test data from ICE and EV platforms to derive actionable insights.
  • Develop and maintain cloud-based analytics methodologies using MATLAB, Python, and Databricks.
  • Design and deploy interactive dashboards and web applications for data visualization and reporting using Power BI and Tableau.
  • Collaborate with calibration and testing teams to integrate analytics into vehicle development workflows.
  • Support predictive modeling and machine learning initiatives for performance and reliability analysis.

Critical Must-Have Deliverables
  • Accurate analysis of drivability and performance test data for ICE and EV platforms.
  • Development of robust data analytics pipelines leveraging Python, MATLAB, and cloud platforms.
  • Creation of real-time dashboards for vehicle performance monitoring and reporting.
  • Integration of analytics into calibration and testing processes to improve efficiency and reliability.

Good-to-Have Deliverables
  • Implementation of advanced machine learning models for predictive maintenance and performance optimization.
  • Development of simulation models for vehicle systems to support virtual testing.
  • Contribution to cross-functional projects involving EV efficiency mapping and fleet durability analysis.
Experience
  • 3–5 years of experience in engine/vehicle testing or system simulation.
  • 1–2 years of hands-on experience in data analytics and visualization.
  • Exposure to ICE and EV architectures, calibration tools, and CAN protocols.
Industry Preferred

Automotive OEMs and Tier-1 suppliers specializing in powertrain development, EV systems, and vehicle testing.

Qualifications
  • Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Electrical Engineering, or Data Science.
  • Certifications in data analytics tools (Python, MATLAB) and cloud platforms (Databricks, Spark) are desirable.
General Requirements
Competencies and Skills
Functional Competencies:
  • Vehicle and engine performance analysis, drivability assessment, EV efficiency mapping.
  • VCU calibration, emission analysis, fleet durability evaluation.
Tools and Techniques Used:
  • MATLAB, Python, Databricks, Spark, Power BI, Tableau, Excel.
  • Knowledge of CAN protocols and calibration tools.
Behavioral Competencies:
  • Strong analytical thinking and problem-solving skills.
  • Ability to collaborate effectively with cross-functional teams.
  • Adaptability to emerging technologies and agile workflows.
Our commitment to Diversity, Equity, and Inclusion

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