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Location: bangalore, , India
Department: Engineering
Job Description
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.
Qualifications
Required Qualifications Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
Additional Information
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.
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.
Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3801 that say).
From live job posts on CoreHRx, updated 9 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Bangalore, 259 posts).
The post asks for 6–10 Yrs experience.
In Bangalore.
It is a full time job.
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This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
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