bangalore, India
Live, first seen by us 24 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design and maintain scalable data pipelines and cloud workflows for computer vision
Build Azure data pipelines that process, version, and manage millions of images
Build and automate training and evaluation pipelines in PyTorch and TensorFlow
Integrate ML pipelines with Azure Blob Storage and Azure ML Compute
Analyze models and data workflows to find and implement performance improvements
Design, implement, and maintain scalable data pipelines and cloud-based workflows for computer vision applications.
Develop and scale Azure-based data pipelines to manage high-throughput workloads, including the processing, versioning, and management of millions of images.
Build, automate, and manage robust training and evaluation pipelines using frameworks like PyTorch and TensorFlow.
Integrate ML pipelines seamlessly with cloud storage and compute services, particularly Azure Blob Storage and Azure ML Compute.
Analyze existing models and data workflows to identify and implement performance improvements and optimizations.
Qualifications Required Qualifications Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. Additional Information
Programming: Proficiency in Python and a strong understanding of object-oriented programming. Tools: Familiarity with essential software development tools like Git and working in a Linux environment. Additional Qualifications Master’s degree in a relevant field. Prior experience in the ADAS, autonomous driving, or robotics domains. Experience with other cloud platforms (e.g., AWS, GCP). Knowledge of model optimization and deployment (e.g., TensorRT, ONNX). Hands-on experience with C++ is beneficial.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 24
Similar jobs usually come down between day 7 and day 72.
At Bosch Group, jobs usually come down by about day 18.
From 4,639 similar postings that came down, and 307 of Bosch Group’s. Coming down is not always a hire.
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Additional Qualifications Master’s degree in a relevant field. Prior experience in the ADAS, autonomous driving, or robotics domains. Experience with other cloud platforms (e.g., AWS, GCP). Knowledge of model optimization and deployment (e.g., TensorRT, ONNX). Hands-on experience with C++ is beneficial. Company Description
Core Skills: Proven experience designing and implementing scalable data pipelines and cloud-based workflows. Strong proficiency with cloud platforms, specifically Azure (AzureML, Azure Blob Storage, Azure ML Compute). Hands-on experience with data processing and orchestration tools such as Databricks or Ray. Proficiency in containerization technologies, especially Docker. Experience building or maintaining training/evaluation pipelines using PyTorch or TensorFlow. Experience with or exploration of data visualization and analysis tools (e.g., Voxel). Programming: Proficiency in Python and a strong understanding of object-oriented programming. Tools: Familiarity with essential software development tools like Git and working in a Linux environment. Additional Qualifications Master’s degree in a relevant field. Prior experience in the ADAS, autonomous driving, or robotics domains.
Responsibilities Design, implement, and maintain scalable data pipelines and cloud-based workflows for computer vision applications. Architect efficient database schemas, queries, and end-to-end data pipelines to support large-scale data operations. Develop and scale Azure-based data pipelines to manage high-throughput workloads, including the processing, versioning, and management of millions of images. Build, automate, and manage robust training and evaluation pipelines using frameworks like PyTorch and TensorFlow. Integrate ML pipelines seamlessly with cloud storage and compute services, particularly Azure Blob Storage and Azure ML Compute. Analyze existing models and data workflows to identify and implement performance improvements and optimizations. Implement best practices for data quality, monitoring, and infrastructure-as-code. Document system architecture, data flows, and operational procedures. Qualifications
Experience: 6 to 10 years Core Skills: Proven experience designing and implementing scalable data pipelines and cloud-based workflows. Strong proficiency with cloud platforms, specifically Azure (AzureML, Azure Blob Storage, Azure ML Compute). Hands-on experience with data processing and orchestration tools such as Databricks or Ray. Proficiency in containerization technologies, especially Docker. Experience building or maintaining training/evaluation pipelines using PyTorch or TensorFlow. Experience with or exploration of data visualization and analysis tools (e.g., Voxel). Programming: Proficiency in Python and a strong understanding of object-oriented programming. Tools: Familiarity with essential software development tools like Git and working in a Linux environment.
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Applied Computer Vision Engineer - Data Driven Development jobs there since May 2026. 2 came down, usually after about 29 days.
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
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.
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.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
As an Applied Computer Vision Engineer focused on Data Driven Development, you will be a critical part of our feature team, responsible for building and scaling the infrastructure that powers our advanced perception systems.
You will architect and implement the robust data pipelines and cloud-native workflows that enable the development, training, and evaluation of next-generation computer vision models. This role is ideal for an engineer passionate about data systems, MLOps, and enabling large-scale machine learning.
Responsibilities Design, implement, and maintain scalable data pipelines and cloud-based workflows for computer vision applications. Architect efficient database schemas, queries, and end-to-end data pipelines to support large-scale data operations.
Develop and scale Azure-based data pipelines to manage high-throughput workloads, including the processing, versioning, and management of millions of images. Build, automate, and manage robust training and evaluation pipelines using frameworks like PyTorch and TensorFlow. Integrate ML pipelines seamlessly with cloud storage and compute services, particularly Azure Blob Storage and Azure ML Compute. Analyze existing models and data workflows to identify and implement performance improvements and optimizations. Implement best practices for data quality, monitoring, and infrastructure-as-code. Document system architecture, data flows, and operational procedures.
Required Qualifications Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
Experience: 6 to 10 years
Core Skills: Proven experience designing and implementing scalable data pipelines and cloud-based workflows. Strong proficiency with cloud platforms, specifically Azure (AzureML, Azure Blob Storage, Azure ML Compute). Hands-on experience with data processing and orchestration tools such as Databricks or Ray. Proficiency in containerization technologies, especially Docker. Experience building or maintaining training/evaluation pipelines using PyTorch or TensorFlow. Experience with or exploration of data visualization and analysis tools (e.g., Voxel).
Programming: Proficiency in Python and a strong understanding of object-oriented programming. Tools: Familiarity with essential software development tools like Git and working in a Linux environment.
Additional Qualifications Master’s degree in a relevant field. Prior experience in the ADAS, autonomous driving, or robotics domains.
Experience with other cloud platforms (e.g., AWS, GCP). Knowledge of model optimization and deployment (e.g., TensorRT, ONNX). Hands-on experience with C++ is beneficial.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
bangalore, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.