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HIL Testing Engineer

0 - 8 years

0 Lacs

Posted:6 days ago| Platform: Indeed logo

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Job Description

Hosur Plant, Tamil Nadu, India

Department
R&D-EV Sys D&D-Digital Twin and HIL
Job posted on
Jul 08, 2025
Employee Type
White Collar
Experience range (Years)
6 years - 8 years

About TVS Motor
TVS Motor Company is a reputed two and three-wheeler manufacturer globally, championing progress through Sustainable Mobility with four state-of-the-art manufacturing facilities in Hosur, Mysuru and Nalagarh in India and Karawang in Indonesia. Rooted in our 100-year legacy of Trust, Value, and Passion for Customers and Exactness, we take pride in making internationally aspirational products of the highest quality through innovative and sustainable processes. We are the only two-wheeler company to have received the prestigious Deming Prize. Our products lead in their respective categories in the J.D. Power IQS and APEAL surveys. We have been ranked No. 1 Company in the J.D. Power Customer Service Satisfaction Survey for consecutive four years. Our group company Norton Motorcycles, based in the United Kingdom, is one of the most emotive motorcycle brands in the world. Our subsidiaries in the personal e-mobility space, Swiss E-Mobility Group (SEMG) and EGO Movement have a leading position in the e-bike market in Switzerland. TVS Motor Company endeavors to deliver the most superior customer experience across 80 countries in which we operate. For more information, please visit www.tvsmotor.com.

Job Responsibilities
We are seeking a seasoned leader with expertise in data science, AI/ML, and telematics to drive our digital twin initiatives. You will leverage large-scale telemetry to uncover actionable insights that enhance operational efficiency and reduce costs for EV part and components. By integrating advanced analytics, predictive models, and scalable platforms, you will help shape our digital twin strategy and deliver measurable business impact.


Qualification
  • Master's degree or more in data science, Computer Science, Engineering,
  • Proven success applying data science and AI/ML to telematics for predictive maintenance, optimization, or operational improvement.
  • Proficiency in Python, PySpark, AWS Glue, TensorFlow, PyTorch, MATLAB, and familiarity with IoT/cloud platforms.
  • Hands-on experience with AWS and/or Databricks for large-scale data processing and model deployment.
  • Effective communication, leadership, and stakeholder management skills, with a record of guiding teams and delivering measurable outcomes.

Role Description:

1. Strategic Roadmap & Vision:

  • Develop and execute a long-term digital twin strategy centred on effectively using telematics data to improve operations.
  • Conduct cost-benefit analyses to ensure initiatives align with business goals and deliver strong ROI.

Telematics Data Integration & Analytics:

  • Oversee the ingestion, cleansing, and integration of telemetry, ensuring accurate and reliable data for informed decision-making.
  • Collaborate with IT and data engineering teams to establish robust pipelines for real-time and historical data analysis.

AI/ML-Driven Insights & Predictive Maintenance:

  • Implement AI/ML models—predictive maintenance, anomaly detection, usage-based insights—that anticipate potential failures, reduce warranty costs, and improve asset utilization.
  • Apply advanced analytics to identify underlying patterns and inform data-driven strategies.

Performance Optimization & Scalability:

  • Develop scalable digital twin architectures capable of handling complex datasets and simulations.
  • Continuously evaluate emerging technologies to maintain a competitive technological edge.

Standardization & Governance:

  • Define best practices, standards, and governance frameworks for digital twin development and data analysis.
  • Ensure robust security and privacy measures to protect sensitive information.

Cross-Functional Collaboration & Stakeholder Engagement:

  • Partner with engineering, operations, product management, and finance to align analytical insights with strategic objectives.
  • Present findings through clear dashboards, reports, and presentations, enabling prompt, informed decisions.

Team Leadership & Mentorship:

  • Lead, mentor, and develop a high-performing team of data scientists, analysts, and engineers.
  • Allocate resources, manage priorities, and ensure timely delivery of projects that drive business value..

2.

Behavioral Competencies
Ø "Individual Competencies: decision-making, working with teams, confidence, technical know-how, self-motivation skills"
Ø Interpersonal Competencies: high energy levels, communication skills, teamwork, persuasiveness, and handling problems
Ø Motivational Competencies: motivator, taking initiatives, involving others in taking more initiatives, and leading by example.
Ø "Managerial Competencies
Ø leadership skills, managing people/teams, quick decision-making, addressing problems, analytical skills, and strategic planning"
Ø Integrity: Consistent with words and actions, respond to pressure to act in conflict with their ethics, accept responsibility for mistakes, Doing right things in right way, belief that people are honest, credible, positive intent with track record of desired results

Leadership Competencies
Leading Innovation & Diverse Teams
Adaptability
Strategic Thinking

Why TVSM?
At TVSM, we are always challenging ourselves to build a better, connected & sustainable future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Working at TVSM Software also means flexibility - Choosing between working from home and the office is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in automotive software organization. We are a merit driven, equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, or disability status.

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TVS Motor
TVS Motor

Motor Vehicle Manufacturing

Hosur Tamil Nadu

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