Senior Machine learning Engineer

About this role

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Skills you'll use

What you'll do

• As a Senior Machine learning Engineer in the Perception team, you will play a pivotal role in building and maintaining the backbone of our L2+ ADAS stack. This senior role calls for an experienced engineer who can think critically, execute independently, and deliver results on scalable deep learning infrastructure, optimize massive data ingestion pipelines, and ensure maximum efficiency across our compute clusters.
• You will be responsible for the entire DL infrastructure lifecycle—from managing Azure storage and hybrid Kubernetes clusters to designing efficient data loaders for multimodal training. You will work at the intersection of infrastructure, data engineering, and deep learning, enabling feature teams to train complex models (single frame, temporal, and multimodal) with speed and reliability. Your ability to solve abstract infrastructure challenges and apply "T-shaped" expertise—going deep in areas like infrastructure, multitask deep learning among others while maintaining breadth in software design—will be key to our success.

Who can apply

• ●Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. An advanced degree is an advantage.
• ●Experience: 5+ years of industry experience in MLOps, Data Engineering, or Software Infrastructure, with a focus on Deep Learning systems.
• ●Programming & Software Design: Expert-level proficiency in Python with a strong emphasis on clean software design, object-oriented programming, and architectural patterns.
• ●Infrastructure & Orchestration: Deep hands-on experience with Kubernetes, Docker, and Cloud platforms (specifically Azure ML, Azure Storage/Networking).
• ●Big Data & Optimization: Proficiency with high-performance data processing tools such as Ray, PyArrow, and SQL. Experience optimizing data loading bottlenecks for
• ●DevOps & Monitoring: Experience setting up complex CI/CD pipelines (GitHub Actions) and observability stacks (Grafana, Prometheus).
• ●Soft Skills: Strong problem-solving abilities, proactiveness, and ownership of complex topics. Ability to adapt quickly to new technologies and work collaboratively in a supportive, high-performance team.

About Bosch Group

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