Applied Computer Vision Engineer - Data Driven Development at Bosch Group

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, Cloud Workflows, Azure, MLOps, PyTorch, TensorFlow, Docker, Data Processing, Orchestration Tools, Database Schemas, Machine Learning, Data Quality, Monitoring, C++, Model Optimization, Computer Vision

Industry

Software Development

Description

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 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. Required Qualifications Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. Experience: 2-4 years of professional experience in data engineering, MLOps, or a similar role supporting machine learning workflows. 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. 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. Qualifications B.Tech, Additional Qualifications Master’s degree in a relevant field. Additional Information Exp- 2-4 years 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.

Responsibilities

You will design, implement, and maintain scalable data pipelines and cloud-based workflows for computer vision applications. This role involves building and managing robust training and evaluation pipelines using frameworks like PyTorch and TensorFlow.