Senior Engineer - Methods

As a Senior Engineer within the NVH Simulation department at Mahindra & Mahindra Ltd, your primary responsibility will be to leverage engineering simulation and test data to develop insightful and predictive machine learning models. You will design, implement, and validate advanced AI algorithms that enhance product performance and efficiency.

Your role includes:

The ideal candidate will be a graduate or postgraduate professional with 3 to 6 years of experience specifically focused on data-driven predictive model development, machine learning, and deep learning techniques within an engineering context.

Candidates should demonstrate a proven track record of applying advanced analytical methods and AI-based strategies to real-world engineering problems, preferably within simulation or automotive environments. Experience in building, tuning, and deploying end-to-end machine learning models is essential.

Strong familiarity with Python programming and associated machine learning frameworks such as TensorFlow, Keras, PyTorch, and data manipulation libraries like Pandas and NumPy is required.

An ability to interpret complex engineering datasets, including CAE files, and convert them into meaningful predictive insights is highly desirable.

Preference will be given to candidates with practical experience in the Automotive sector or Engineering Services industries. Familiarity with the specific challenges and applications related to Noise, Vibration, and Harshness (NVH) in automotive product development will be advantageous.

Experience working in multidisciplinary engineering teams and exposure to simulation-driven product design processes will further support success in this role.

Applicants should possess a Bachelor’s degree (B.E. / B.Tech) or a Master’s degree (M.E. / M.Tech) in Engineering or a closely related technical discipline. Degrees focusing on Mechanical Engineering, Computer Science, Data Science, or similar fields with strong emphasis on analytics and simulation are preferred.

Academic credentials should reflect strong foundational knowledge in mathematics, programming, and engineering principles to ensure capability in modeling complex systems.

General requirements include:

At Mahindra and Mahindra Limited, our commitment to Diversity, Equity, and Inclusion (DEI) is foundational to fostering innovation and excellence across all facets of our organization.

We actively cultivate a respectful, supportive environment where all individuals are empowered to contribute authentically and reach their highest potential. Our recruitment and employment practices are intentionally inclusive, ensuring fair opportunities for candidates from all backgrounds, including those defined by age, caste, race, ethnicity, religion, gender identity, nationality, physical or mental abilities, sexual orientation, educational background, and other protected characteristics.

We welcome and encourage applications from diverse talent pools, recognizing that the broad spectrum of perspectives and experiences enriches our teams and drives continuous improvement.

Accessibility and inclusivity are integral to our hiring processes, and we commit to providing accommodations as needed to support all applicants.

Together, by embracing difference and fostering equity, we build a stronger future that reflects the vibrant communities we serve and the broad marketplace in which we operate.