Bosch Group: Senior Machine learning Engineer — bangalore, India

About Bosch Group

Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.

The position and its setting

Bosch Group lists Senior Machine learning Engineer in bangalore, India, under reference REF276266R. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 8 September 2026
• Contract type: Unlimited
• Legal Entity: Bosch Global Software Technologies Private Limited
• Brands: Bosch Group

Responsibilities and work described

• 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
• Be responsible for the entire DL infrastructure lifecycle—from managing Azure storage and hybrid Kubernetes clusters to designing efficient data loaders for multimodal training
• 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
• Deep Learning Infrastructure & Compute:
• Management: and optimize the entire DL infrastructure, including Azure Blob Storage integration, VNET setups, and hybrid compute resources (Cloud and On-premise/Frankfurt clusters)
• Leadership: performance investigations and benchmarking for next-gen hardware (e.g., comparing H200 vs
• H100, Azure native vs. deployment nodes) to ensure cost and speed efficiency
• Maintenance: and scale Kubernetes clusters for training and inference workloads
• Data Pipelines & Efficient Loading:
• Architecture: and develop high-performance data loaders for complex multimodal datasets (camera, radar, temporal/non-temporal data)
• Modernize data processing pipelines using Ray and Kubernetes to parallelize data caching, shuffling, and oversampling
• Leverage PyArrow and SQL to optimize data consumption and integration with data loops
• Implementation: efficient dataset update strategies (handling deltas) and ensure seamless integration of new tasks into the multimodal multi-task network
• CI/CD, Monitoring & Quality:

Essential requirements and candidate background

• Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
• An advanced degree is an advantage
• 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 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
• GPU training
• DevOps & Monitoring: Experience setting up complex CI/CD pipelines (GitHub Actions) and observability stacks (Grafana, Prometheus)
• Soft Skills: problem-solving abilities, proactiveness, and ownership of complex topics
• Adapt quickly to new technologies and work collaboratively in a supportive, high-performance team
• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: bangalore, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Machine learning Engineer vacancy is not an offer for reference REF276266R; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Bosch Group

Applications follow the official employer page linked below.

Open the official Bosch Group posting below and match the title and reference REF276266R.

Compare your qualifications and experience with the essential conditions for the bangalore, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Kubernetes
• CI/CD
• Docker
• Azure
• AI/ML
• machine learning
• embedded systems
• electrical engineering