Yes. We’ve followed 11 other AI/ML Expert jobs there since May 2026. 10 came down, usually after about 53 days. One is still up.
CoimbatoreCame down after 53 days, first seen May 21
PuneCame down after 16 days, first seen May 22
CoimbatoreCame down after 50 days, first seen May 25
CoimbatoreCame down after 17 days, first seen May 25
PuneCame down after 35 days, first seen Jun 8
CoimbatoreStill up after 88 days, first seen Aug 13
CoimbatoreCame down after 63 days, first seen Aug 13
CoimbatoreCame down after 70 days, first seen Aug 13
This jobUp 18 days so far, first seen Oct 22
May 21Today
If this one keeps the same pace, it may come down around December 14.
Large employers often post one title for several teams, so these can be separate openings.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
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 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 & EvaluationFocus 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+
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.