Posted 22 Jul 2026 (106 days ago) · Job 25941 · Read from the employer's SmartRecruiters board, last checked 5 Nov 2026, 08:48 UTC

AI/ML Expert

Bosch · coimbatore, India

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Full time

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Company Description

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Job Description

We are seeking a talented Applied AI/ML Engineer to develop sophisticated models that leverage both visual and time-series data.

In this role, you will focus on designing and implementing advanced algorithms to extract meaningful patterns, make accurate predictions, and solve complex analytical challenges.

  • Your primary responsibility will be hands-on model development (for deploying in to automotive domain), from data analysis and feature engineering to training and evaluation.
  • Key Responsibilities:Advanced Model Development Design, build, and validate machine learning models for a variety of complex tasks, including: Computer Vision: Object Detection, Image Segmentation, Facial Analysis, and Classification.
  • Time Series Analysis: Forecasting, Anomaly Detection, and Classification of sequential data.
  • Multi-Modal Modeling: Fusing visual and temporal data to create more powerful predictive models.
  • Algorithm Implementation Implement and train a wide range of models, including Deep Learning architectures (CNNs, Transformers, LSTMs, GRUs) and traditional statistical methods (e.g., ARIMA, Prophet).
  • Stay current with state-of-the-art techniques and apply them to our unique datasets.
  • Data Analysis & Feature Engineering Conduct in-depth exploratory data analysis to understand data characteristics and identify predictive signals.
  • Develop and implement novel feature engineering techniques tailored to both image and time-series data.
  • Model Optimization & Evaluation Focus on building computationally efficient models.
  • Rigorously evaluate model performance using appropriate metrics and validation strategies to ensure robustness and accuracy.
  • Optimize model architecture and hyperparameters to achieve desired performance targets.

Qualifications

  • B-Tech

Additional Information

  • 10+ years

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