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AI ML Data Engineer for ADAS Sr Backend with Azure

Bosch

AI ML Data Engineer for ADAS Sr Backend with Azure

Bosch

bengaluru

·

On-site

·

Full-time

·

5d ago

Job Title: AI ML Data Engineer for ADAS Sr Backend with Azure

Python Lead with expertise in Azure Cloud to manage data-in-the-loop operations, focusing on traceability and sequencing of data.

Key Responsibilities:

  • Ability to prioritize requirements alligned with the needs of the project and manage stakeholder expectation.

  • Design, develop, and maintain high-quality Python code, with a focus on FastAPI for building APIs.

  • Well versed with API management and deployment.

  • Oversee the deployment and management of applications on Azure Cloud, utilizing Docker and Kubernetes for containerization and orchestration.

  • Implement infrastructure as code using Terraform to ensure scalable and maintainable cloud infrastructure.

Collaborate with cross-functional teams to define project requirements, architecture, and technical specifications.

  • Conduct code reviews, provide technical guidance, and mentor team members to foster a culture of continuous improvement.
  • Ensure adherence to best practices in software development, including testing, documentation, and version control.
  • Troubleshoot and resolve complex technical issues, ensuring the reliability and performance of our systems.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

  • 7+ years of professional experience in software development, with a strong focus on Python.

  • Proven experience with FastAPI for building APIs and web services.

  • Extensive hands-on experience with Azure Cloud services, including identity management, storage, and compute resources.

  • Proficiency in containerization technologies such as Docker and orchestration tools like Kubernetes.

  • Strong knowledge of Terraform for infrastructure as code.

  • Experience with version control systems (e.g., Git) and CI/CD pipelines.

  • Familiarity with data models, serialization, and deserialization in Python.

  • Excellent problem-solving skills and the ability to troubleshoot complex issues.

  • Strong leadership and mentoring skills, with the ability to inspire and motivate a team.

  • Excellent communication and collaboration skills.

Preferred Skills:

Experience with automated driving technologies and vehicle data processing.

Working with LLM's (like co-pilot)

B Tech / BE

7 years

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

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About Bosch

Bosch

Bosch

Public

Robert Bosch GmbH is a multinational engineering and technology company that develops automotive components, industrial technology, consumer goods, and energy solutions. The company operates across multiple sectors including mobility solutions, industrial technology, consumer goods, and building technologies.

10,001+

Employees

Gerlingen

Headquarters

Reviews

3.7

10 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

4.1

Career

4.3

Management

2.9

72%

Recommend to a Friend

Pros

Great people and team environment

Career development and learning opportunities

Good compensation and benefits

Cons

Poor work-life balance expectations

Management issues and favoritism

Lack of clear policies

Salary Ranges

711 data points

Senior/L5

Senior/L5 · Business Development Manager - Press

1 reports

$175,455

total / year

Base

$152,570

Stock

-

Bonus

-

$175,455

$175,455

Interview Experience

7 interviews

Difficulty

2.4

/ 5

Duration

14-28 weeks

Offer Rate

71%

Experience

Positive 14%

Neutral 86%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview Round 1

4

Technical Interview Round 2

5

HR Round/Salary Negotiation

6

Offer Extended

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Project-based Assessment