AI/ML Expert

Robert Bosch Group; Coimbatore District; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Bosch Global Software Technologies Private Limited is seeking an Applied AI/ML Engineer to design and implement advanced models using visual and time-series data for automotive applications. You will work on data analysis, feature engineering, training, and evaluation to deliver robust predictive solutions.

The role emphasizes hands-on model development, with focus on deep learning architectures (CNNs, Transformers, LSTMs) and traditional methods (ARIMA/Prophet), while staying current with

Qualifications

• B.Tech in a relevant engineering field is required.
• Proven experience in AI/ML model development for automotive or related domains preferred.
• Strong skills in CV and time-series modeling with deep learning frameworks.

Responsibilities

• Hands-on model development for automotive applications from data analysis to deployment.
• Develop and validate ML models for computer vision tasks: detection, segmentation, classification.
• Perform time-series forecasting, anomaly detection, and sequential data classification.

Skills

Applied AI/ML

Computer Vision

Time Series

Multimodal Modeling

Deep Learning

Education

B-Tech

Tools

Python

TensorFlow

PyTorch

ARIMA/Prophet

Job description

• Legal Entity: Bosch Global Software Technologies Private Limited

Company Description

Bosch Global Software Technologies Private Limitedis 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