Bosch Group

<html><body><section class="job-section" id="st-jobDescription"><div> <p class="googlejobs-paragraph--empty"/> <h2 class="title">Job Description</h2> </div> <div class="wysiwyg" itemprop="responsibilities"> <p><strong>Job Description </strong></p> <p>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.</p> <p>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. </p> <p>This role is ideal for an engineer passionate about data systems, MLOps, and enabling large-scale machine learning. </p> <p><strong>Responsibilities </strong></p> <p>Design, implement, and maintain scalable data pipelines and cloud-based workflows for computer vision applications. </p> <p>Architect efficient database schemas, queries, and end-to-end data pipelines to support large-scale data operations. </p> <p>Develop and scale Azure-based data pipelines to manage high-throughput workloads, including the processing, versioning, and management of millions of images. </p> <p>Build, automate, and manage robust training and evaluation pipelines using frameworks like PyTorch and TensorFlow. </p> <p>Integrate ML pipelines seamlessly with cloud storage and compute services, particularly Azure Blob Storage and Azure ML Compute. </p> <p>Analyze existing models and data workflows to identify and implement performance improvements and optimizations.</p> <p> Implement best practices for data quality, monitoring, and infrastructure-as-code. Document system architecture, data flows, and operational procedures. </p> <p><strong>Required Qualifications </strong></p> <p><strong>Education</strong>: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.</p> <p> <strong>Experience</strong>: 2-4 years of professional experience in data engineering, MLOps, or a similar role supporting machine learning workflows. </p> <p><strong>Core Skills: </strong></p> <p>Proven experience designing and implementing scalable data pipelines and cloud-based workflows. </p> <p>Strong proficiency with cloud platforms, specifically Azure (AzureML, Azure Blob Storage, Azure ML Compute). </p> <p>Hands-on experience with data processing and orchestration tools such as Databricks or Ray. </p> <p>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). </p> <p><strong>Programming</strong>: Proficiency in Python and a strong understanding of object-oriented programming. </p> <p><strong>Tools</strong>: Familiarity with essential software development tools like Git and working in a Linux environment. </p> <p> </p> <p>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). </p> <p>Hands-on experience with C++ is beneficial. </p> </div></section><section class="job-section" id="st-qualifications"><div> <p class="googlejobs-paragraph--empty"/> <h2 class="title">Qualifications</h2> </div> <div class="wysiwyg" itemprop="qualifications"><p>B.Tech, Additional Qualifications Master’s degree in a relevant field. </p></div></section><section class="job-section" id="st-additionalInformation"><div> <p class="googlejobs-paragraph--empty"/> <h2 class="title">Additional Information</h2> </div> <div class="wysiwyg" itemprop="incentives"> <p>Exp- 2-4 years</p> <p>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). </p> <p>Hands-on experience with C++ is beneficial. </p> </div></section></body></html>

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