Bosch Group: Applied Computer Vision Engineer - Data Driven Development — bangalore, India

Bosch Group lists a Applied Computer Vision Engineer - Data Driven Development opening in bangalore, India. The position is listed as full-time. The job description covers Azure, machine learning, training.

Recruitment overview

OrganisationBosch Group
Post / roleApplied Computer Vision Engineer - Data Driven Development
Employment typeFull-time
Notification / job IDREF278983Q
Job locationbangalore, India
Work arrangementOn-site
Educational qualificationDegree / qualification: Required Qualifications Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
Experience required6 to 10 years
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

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 Applied Computer Vision Engineer - Data Driven Development in bangalore, India, under reference REF278983Q. 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: 17 September 2026
  • Contract type: Unlimited
  • Legal Entity: Bosch Global Software Technologies Private Limited
  • Brands: Bosch Group

Responsibilities and work described

  • 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
  • Architecture: 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
  • Architecture: efficient database schemas, queries, and end-to-end data pipelines to support large-scale data operations
  • Development: 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
  • Integration: ML pipelines seamlessly with cloud storage and compute services, particularly Azure Blob Storage and Azure ML Compute
  • Analysis: existing models and data workflows to identify and implement performance improvements and optimizations
  • Implementation: best practices for data quality, monitoring, and infrastructure-as-code
  • Document system architecture, data flows, and operational procedures

Essential requirements and candidate background

  • Required Qualifications Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
  • 6 to 10 years
  • Core Skills: experience designing and implementing scalable data pipelines and cloud-based workflows
  • Proficiency: cloud platforms, specifically Azure (AzureML, Azure Blob Storage, Azure ML Compute)
  • Experience: data processing and orchestration tools such as Databricks or Ray
  • Proficiency: containerization technologies, especially Docker
  • Experience building or maintaining training/evaluation pipelines using PyTorch or TensorFlow
  • Experience: or exploration of data visualization and analysis tools (e.g., Voxel)
  • Programming: Proficiency in Python and a 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: other cloud platforms (e.g., AWS, GCP)
  • Knowledge: model optimization and deployment (e.g., TensorRT, ONNX)
  • Experience: C++ is beneficial

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 Applied Computer Vision Engineer - Data Driven Development vacancy is not an offer for reference REF278983Q; 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 REF278983Q.

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
  • C++
  • Docker
  • AWS
  • GCP
  • Azure
  • AI/ML
  • machine learning
  • training
  • electrical engineering

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

For corrections, see our editorial policy and contact information.