Senior Machine learning Engineer
Bosch Global2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Manage and optimize Azure Blob Storage, VNETs, hybrid Kubernetes clusters, and cloud and on-premise compute resources for deep learning workloads.
- Benchmark next-generation hardware and infrastructure deployments, including H200 versus H100 and Azure-native versus deployment nodes.
- Architect and develop high-performance data loaders for multimodal camera, radar, temporal, and non-temporal datasets.
- Modernize data pipelines with Ray and Kubernetes for parallelized caching, shuffling, and oversampling, using PyArrow and SQL for efficient data integration.
- Design and maintain GitHub Workflows and CI pipelines, dependency updates, code reviews, and software architecture standards.
- Develop Grafana dashboards and monitoring for compute usage, GPU efficiency, unit test duration, and system health.
- Establish scalable evaluation pipelines for QNN boards and other embedded devices, including model compression and on-target performance verification.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field; an advanced degree is advantageous.
- At least 5 years of industry experience in MLOps, data engineering, or software infrastructure focused on deep learning systems.
- Expert-level Python proficiency with clean software design, object-oriented programming, and architectural patterns.
- Hands-on experience with Kubernetes, Docker, Azure ML, and Azure storage and networking.
- Proficiency with Ray, PyArrow, and SQL, including optimization of data-loading bottlenecks for GPU training.
- Experience building CI/CD pipelines with GitHub Actions and observability stacks with Grafana and Prometheus.
- Strong understanding of deep learning workflows such as PyTorch, training loops, and multi-task learning.
- Experience deploying or evaluating models on embedded hardware such as Qualcomm QNN, or establishing hardware-in-the-loop pipelines.
- Strong problem-solving, ownership, adaptability, collaboration, and proactive execution skills.
Categories
Data EngineeringML Engineering
About Bosch Global
Bosch Global (Robert Bosch GmbH) develops and sells mobility components and software, industrial automation and sensors, home appliances and power tools, and energy and building technologies to automakers, manufacturers, builders, and consumers. It monetizes through product sales and connected services spanning IoT, AI, and embedded software. Founded in 1886 and headquartered in Gerlingen-Schillerhöhe, Germany, the privately held Bosch Group operates worldwide across Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology sectors.