Data Scientist
Mahindra Group · Posted Nov 2
Automotive, farm equipment, information technology, financial services, and hospitality services
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About the role
The role sits within Mahindra Group's Product Development (PD) function and focuses on high-impact AI initiatives that transform automotive product development. The work spans machine learning, deep learning, time-series sensor data, signal processing, and production-grade ML systems. This hands-on ML/DL role owns initiatives from data strategy through model development, validation, and deployment to reduce engineering cycle time and automate PD workflows.
What you will do
- Design and implement ML/DL architectures for structured and time-series data: gradient boosting, deep sequence models, representation learning, multi-modal learning, uncertainty estimation, and robust generalization.
- Apply rigorous model evaluation, error analysis, and experimental design, especially for peak/rare-event behavior common in physical systems.
- Build interpretable and physics-aware ML where needed (feature constraints, monotonicity, hybrid models).
- Own sensor data pipelines: synchronization, resampling, windowing, denoising, drift handling, filtering, and feature extraction.
- Apply signal processing methods (e.g., FFT/spectral features, band-pass/high-pass/low-pass filtering, wavelets) where beneficial.
- Build and maintain end-to-end ML pipelines in Python.
- Deploy models using pragmatic engineering stacks (e.g., Docker, FastAPI, MLflow).
- Enable monitoring, retraining, and governance for model performance over time.
Skills used in this role
What the employer is looking for
- 3-5 Years of relevant experience
- Strong experience with time-series sensor data (automotive/IoT/industrial/telemetry), including sequence modeling and feature extraction.
- Signal processing background (filtering intuition, spectral methods, noise/drift handling).
- Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps practices.
- Exposure to engineering/PD domains such as validation, simulation acceleration, or calibration optimization.
- B.Tech / M.Tech in relevant domain
- Strong fundamentals in bias–variance, regularization, optimization, generalization, calibration, and leakage avoidance.
- Proficiency with tree-based ML (XGBoost/CatBoost) and deep learning (CNN/RNN/Transformers), including loss functions and training dynamics.
- Feature engineering for physical/time-series systems; robust evaluation and cross-domain transfer.
- Advanced Python for ML systems and data workflows.
- Experience with: scikit-learn, XGBoost/CatBoost, PyTorch/TensorFlow.
- Strong data stack: NumPy/Pandas; clear visualization and communication.
- Demonstrated ability to own outcomes, lead projects independently, and ship production-grade solutions.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Mahindra Group
The Mahindra Group is a multinational conglomerate federation of companies with a presence across more than 20 industries globally. The group holds leadership positions in utility vehicles, farm equipment, information technology, and financial services. Driven by its core purpose to enable people to Rise, Mahindra operates across over 100 countries.
- Industry
- Conglomerate
- Company size
- 327000+ employees
- Founded
- 1945-10-02
- Location
- Mumbai, Maharashtra, India
- Funding stage
- Public Company
Leadership
Chairman
Group CEO & Managing Director
Group Chief Financial Officer
Group Chief Technology Officer
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