Join As DevOps/MLOps Specialist At Bosch | Apply Now
Job Overview:
| Company | Bosch Global Software Technologies Private Limited |
|---|---|
| Job Role | DevOps/MLOps Specialist |
| Work Location | Bengaluru, India |
| Job Type | Full-time |
| Experience | 5+ years |
| Qualification | BE / B.Tech / MCA / M.Tech |
| Salary | Not disclosed |
| Careers Page | www.bosch.in |
Skills: MLOps LLMOps Python AWS GCP Azure Docker Kubernetes TensorFlow PyTorch

Build Next-Gen AI and LLM Pipelines at Bosch Bengaluru
Bosch is hiring a DevOps/MLOps Specialist for its Bengaluru development center. Candidates with a relevant degree and experience in MLOps and LLMOps pipelines can apply for this full-time role.
Who Can Apply?
- Hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (BE, B.Tech, MCA, M.Tech).
- Have 5+ years of overall experience in MLOps.
- Possess at least 2 years of hands-on experience working specifically with LLMOps pipelines for large language models.
- Have proven experience in deploying, managing, and optimizing machine learning models in cloud environments at scale.
About Bosch:
Bosch Global Software Technologies Private Limited is a wholly owned subsidiary of Robert Bosch GmbH and acts as its largest software development center outside Germany. It delivers end-to-end engineering, IT, and business solutions with a strong global footprint.
What You Will Do as DevOps/MLOps Specialist
- Pipeline Design: Lead the design and implementation of end-to-end MLOps and LLMOps pipelines, from model development to continuous monitoring in production.
- Automation & CI/CD: Develop automation for model deployment and manage CI/CD pipelines for both traditional ML and LLM models.
- Cross-Functional Collaboration: Collaborate with data scientists, ML engineers, and software developers to integrate AI models into scalable, production-ready systems.
- Monitoring & Optimization: Create robust monitoring systems for tracking model performance and optimize models for cost, speed, and accuracy.
Skills Required:
MLOps & LLMOps. Solid understanding of MLOps best practices and LLMOps workflows for large language models.
Cloud & Infrastructure. Extensive experience with cloud platforms and containerization tools like Docker and Kubernetes.
Programming & Frameworks. Strong programming skills in Python along with experience in machine learning frameworks like TensorFlow and PyTorch.
How to Prepare
Our tips, based only on what the listing asks for:
- Brush up on cloud platforms like AWS, GCP, and Azure with a focus on containerization tools like Docker and Kubernetes.
- Revise your knowledge of CI/CD pipelines using Jenkins, GitLab CI, or CircleCI.
- Be prepared to discuss your hands-on experience with LLMOps workflows, large language models, and orchestration tools like Kubeflow or Airflow.
What the Listing Does Not Mention
- No salary or compensation package is stated in the job description.
- No last date to apply is mentioned.
- Work mode details such as remote or hybrid options are not explicitly specified.
How to Apply: Bosch
- Visit the official job posting link on SmartRecruiters.
- Review the job description and eligibility criteria.
- Submit your application and resume online.
Check out the official link to submit your application and join Bosch's technology powerhouse.
Important Links:
| Events | Links |
|---|---|
| Apply Now | Click Here |
| Official Careers Page | Click Here |
Frequently Asked Questions:
What qualification is required?
Required qualification: BE / B.Tech / MCA / M.Tech. See the eligibility section above for details.
Can freshers apply for this job?
No, this role requires 5+ years of overall experience in MLOps, including at least 2 years with LLMOps pipelines.
Where is the job location?
The job is located in Bengaluru, India.
What is the employment type?
This is a full-time employment position.
Stay safe: Bosch does not charge any fee to apply or to give an interview. If anyone asks you for money for a job, a referral or an offer letter, it is a scam.
Source: the official Bosch careers listing for this role.
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Disclaimer: This job post is for information only. All applications and questions should go to Bosch through the official process.
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