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

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.