CoimbatoreOn-siteDirect career pageEst. 18–35 LPA
Posted 2h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, train, and deploy advanced AI/ML models focusing on computer vision and time-series data for automotive applications.
- Design and implement multi-modal models combining visual and temporal data using techniques like CNNs, Transformers, LSTMs, GRUs, ARIMA, and Prophet.
- Perform data analysis, feature engineering, and rigorous model evaluation and optimization to ensure robustness and computational efficiency.
Minimum Requirements
- Degree: B-Tech
- Work Experience Required: Not explicitly mentioned in the JD
- Mandatory Skills: Experience with computer vision (object detection, image segmentation, facial analysis), time-series forecasting and anomaly detection, and multi-modal modeling.
- Domain: Models must be deployable in automotive domain
Ideal Candidate Profile
- Hands-on experience in applied AI/ML model development involving both visual and time-series data modalities.
- Strong background in deep learning architectures (CNNs, Transformers, LSTMs, GRUs) and traditional statistical models for sequential data.
- Able to independently design, validate, and optimize models for complex tasks, targeting deployment-grade solutions in automotive context.