Join As DevOps/MLOps Specialist At Bosch | Apply Now
Job Overview:
| Company | Bosch Global Software Technologies Private Limited |
|---|---|
| Job Role | DevOps/MLOps Specialist |
| Job ID | 744000154982800 |
| Work Location | Bengaluru, India |
| Job Type | Full-Time |
| Experience | 5+ years |
| Qualification | BE / B.Tech / M.Tech / MCA |
| Salary | Not disclosed |
| Careers Page | www.bosch.in |
Skills: MLOps LLMOps Python AWS GCP Azure Docker Kubernetes TensorFlow PyTorch Apache Airflow
Bosch Hiring DevOps/MLOps Specialist in Bengaluru
Bosch Global Software Technologies is inviting applications for the DevOps/MLOps Specialist role in Bengaluru. Engineers with a background in Computer Science or Data Science and relevant experience are welcome to apply.
Who Can Apply?
- Hold a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (such as BE, MCA, MTech, BTech).
- Have 5+ years of overall experience in MLOps.
- Possess at least 2 years of working experience specifically with LLMOps pipelines for large language models.
- Demonstrate 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 serves 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 and Implementation: Lead the design and implementation of end-to-end MLOps and LLMOps pipelines from model development and training to deployment and continuous monitoring.
- Automation and CI/CD: Develop automation for model deployment and management, and implement CI/CD pipelines for ML and LLM models integrated into production environments.
- Collaboration and Integration: Work closely with data scientists, ML engineers, and software developers to integrate LLMs and ML models into scalable, production-ready systems.
- Monitoring and Optimization: Create monitoring systems for tracking model performance and optimize models for cost, speed, and accuracy using hardware acceleration like GPUs and TPUs.
Skills Required:
MLOps & LLMOps. Solid understanding of MLOps best practices and LLMOps workflows for large language models in production.
Cloud & Infrastructure. Extensive experience with cloud platforms like AWS, GCP, and Azure alongside containerization tools like Docker and Kubernetes.
Programming & Frameworks. Strong programming skills in Python and working knowledge of machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face.
Basic Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of experience in MLOps with at least 2 years working specifically with LLMOps pipelines
Preferred Qualifications:
- Experience with AI and Generative AI technologies
How to Prepare
Our tips, based only on what the listing asks for:
- Brush up on MLOps and LLMOps best practices for large language models like GPT and BERT.
- Practice setting up and managing CI/CD pipelines using tools like Jenkins, GitLab CI, or CircleCI.
- Review containerization and orchestration concepts using Docker and Kubernetes on cloud platforms like AWS, GCP, or Azure.
- Understand data pipeline orchestration tools such as Kubeflow, Airflow, or MLflow.
What the Listing Does Not Mention
- No salary or package details are stated.
- No last date to apply is mentioned in the listing.
- Work mode (office, remote, or hybrid) is not specified.
How to Apply: Bosch
- Go to the official Bosch job posting link provided.
- Review the complete job description and requirements.
- Click the apply button on the portal to submit your application.
Check out the official link to apply and start your journey with Bosch.
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 / M.Tech / MCA. See the eligibility section above for details.
What is the job location?
The job location is Bengaluru, India.
How much experience is required?
The role requires 5+ years of experience in MLOps, with at least 2 years focused on LLMOps pipelines.
Is this a full-time job?
Yes, this is listed as a Full-time employment type.
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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